College of Engineering
and Computer Science

Link to Course Descriptions for the College of Engineering and Computer Science

Accreditation: Baccalaureate degree programs in Civil, Computer, Electrical, Geomatics, Mechanical and Ocean Engineering are accredited by the Engineering Accreditation Commission (EAC) of ABET. The baccalaureate program in Computer Science is accredited by the Computing Accreditation Commission (CAC) of ABET.

The College of Engineering and Computer Science offers undergraduate degree programs in Civil Engineering, Computer Engineering, Computer Science, Electrical Engineering, Environmental Engineering, Geomatics Engineering, Mechanical Engineering and Ocean Engineering. Also available are minors in Computer Science and Geomatics Engineering, certificates in Data Science and Surveying and Mapping, and a minor and certificate in Cybersecurity. The College recently launched an Honors in the Major program focusing on leadership, innovation and entrepreneurship within the engineering and computer science curriculum.

Graduate programs are offered to qualified persons who have sufficient and satisfactory undergraduate preparation. Master's degrees (with or without thesis) and Ph.D. degrees are offered in Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Ocean Engineering and Transportation and Environmental Engineering. Master's degrees are also offered in Artificial Intelligence, Biomedical Engineering, Civil Engineering, Data Science and Analytics, and Information Technology and Management. Certificates in Artificial Intelligence, Big Data Analytics, Biomedical Engineering, Corrosion, Cyber Security, Energy Resilience, Professional Energy Resilience, Offshore Engineering, Transportation Engineering, and Transportation, Logistics and Supply Chain Management are also available.

Combined Bachelor of Science to Master of Science degree programs are offered in all of the College's departments. Among the programs' advantages, students may count a maximum of 9 credits in approved graduate-level courses toward both the B.S. and M.S. degrees.

For highly motivated undergraduate students, the B.S. to Ph.D. program, an option in all of the College's doctoral programs, may be desirable. See admission and degree requirements later in this section. Course offerings, admission and degree requirements are given in the individual program descriptions that follow. Additional information is available from the respective departments or from the College of Engineering and Computer Science website at www.eng.fau.edu.

Bachelor's Degree Program Information

General Studies Degree Program
The University offers a Bachelor of General Studies (B.G.S.) degree program that allows students to design a plan of study to meet their personal interests and career goals. The 120-credit program includes 15 credits of upper-division coursework in one discipline, which students select in consultation with an advisor. For more B.G.S. details and degree requirements, please refer to the Degree Programs section of this catalog.

Undergraduate Research Certificate
To recognize undergraduate students' excellence in undergraduate research, the Office of Undergraduate Research and Inquiry (OURI) has established the Undergraduate Research Certificate. Requirements for the Research Certificate include completion of 12 credits of research exposure, skill-building and intensive courses as well as dissemination of the outcomes of students' research and inquiry through a research presentation or exhibition.

Math Policies and Math Boot Camp Requirement
If, during a student's first attempt at a math course, a failing grade is earned or withdrawal from the math course after the drop/add deadline occurs, enrollment in and satisfactory completion of FAU's Math Boot Camp is required before the student is permitted to enroll in a second and final attempt at the math course.

Engineering and computer science students are permitted a maximum of two attempts for a single math course, whether at FAU or another institution. If a student withdraws from and/or fails the math course on the second attempt, the student may be required to change their major and leave the College of Engineering and Computer Science.

Preprofessional Program
Entering freshmen and all transfer students in the bachelor of science programs for engineering majors will be admitted directly to the College's preprofessional program as pre-engineering students. The following are required for students to be admitted to their major of choice in the College of Engineering and Computer Science:

1. Students must meet University admission requirements.
2. In each core course listed below, students must obtain a minimum grade of “C.” Advanced placement scores of 4 or above will be given credit for the appropriate course(s). A score of 5 is equivalent to an "A," and a score of "4" is equivalent to a "B."
3. A maximum of two attempts will be allowed for any of the listed courses. Failure to receive a passing grade in the second attempt (including withdrawals) is grounds for denial of admission to an engineering or computer science program.
   
   

B.S. in Geomatics Engineering
Calculus with Analytic Geometry 1 (1)	MAC 2311	4

 

B.S. in Civil, Computer, Electrical, Environmental, Mechanical and Ocean Engineering
Calculus with Analytic Geometry 1 (1)	MAC 2311	4
General Physics for Engineers 1 (2)	PHY 2048	3

Notes:
(1) MAC 2311 and MAC 2253 are substitutes.
(2) PHY 2043 and PHY 2048 are substitutes.

The entry-level mathematics requirement for the engineering programs is Calculus with Analytic Geometry 1. Students who are placed in lower-level mathematics courses and who need to maintain full-time status, may have problems finding courses that are accepted in an engineering or computer science program in future semesters. This may delay their entry into a particular engineering or computer science program.

After successfully completing the core courses, students may apply to a particular engineering program. Admission will be based on the student's performance in the core courses. The Division of Engineering Student Services and Advising is available to assist students in selection of a major field of study and can be reached at 561-297-2780 or engineering-services@fau.edu.

Students with engineering degrees from ABET-accredited institutions will be directly admitted to engineering or computer science programs of their choice.

Students may appeal denial of admission to a major through the academic petition process. For an appeal to have merit, students must explain new academic or personal information as well as extenuating circumstances. The evidence should show a student's case is stronger than the GPA evidence suggests. The faculty coordinator for the preprofessional program will review the petition according to the established College guidelines and make a recommendation to the academic petition committee.

The College of Engineering and Computer Science fully complies with the State of Florida Common Prerequisites for Computer Science and for Engineering. Students transferring from Florida community or state colleges who meet the preprofessional program course requirements will be directly admitted to the particular engineering and computer science program of their choice.

The College of Engineering and Computer Science participates in the Southeast Florida Engineering Education Consortium, a collaborative effort among public colleges and universities in this region. Detailed advising sheets outlining the courses needed at the community or state college and at FAU are available for students transferring from Miami-Dade, Broward, Palm Beach and Indian River colleges. These sheets also provide a useful guide for students transferring from other institutions. Students should contact their community or state college advisor or the FAU department in which they intend to enroll.

General Curriculum Notes
The College recognizes that students may transfer from other schools or programs or may have course numbering system changes. As a result, the College will accept the following as equivalent:

1. MAP 3305, Engineering Mathematics 1 and MAP 2302, Differential Equations.
2.  PHY 2044, Physics for Engineers 2 and PHY 2049/2049L, General Physics 2 with Lab.

Students will follow the University catalog for the year in which they began classes. However, students remaining in the program for longer than eight (8) years will be automatically updated to the most recent catalog.

Advising/Student Responsibility
A dedicated group of advisors is responsible for all advising of preprofessional students. As students are accepted into particular engineering programs, each department has experienced advisors who meet with students every term to help ensure they are taking courses in the proper sequence and at a rate consistent with their personal objectives, academic ability and other commitments. Final responsibility for meeting degree requirements and for fulfillment of course prerequisites rests with the student. All students must meet with their advisor once per year.

Engineering Cooperative Education
The College of Engineering and Computer Science’s Cooperative Education program enables qualified students to gain paid, professional work experience in business and industry prior to graduation. Co-op students either alternate periods of full-time work and study or work half time while pursuing their degrees.

The College also sponsors one-semester internships available to students enrolled for a degree within the College. Internships provide an opportunity for students to gain career-related work experience while pursuing their degrees. Internships may be either full time (35-40 hours/week) or part time (20-25 hours/week) and are repeatable.

To learn more about the Cooperative Education and internship programs, students in the College of Engineering and Computer Science should contact the FAU Career Center at 561-297-3533 or refer to its website. All students must be registered with the Center to participate in co-op or internship programs.

Engineering Student Services
The Division of Engineering Student Services and Advising promotes student success and professional development, encourages excellence and works to make the University experience more meaningful. It provides a single place for students to go for assistance or for referral to others for help. Questions related to admissions, financial aid, advising, student organizations and activities and other student-related matters may be directed to the Division of Engineering Student Services at 561-297-2780 or engineering-services@fau.edu.

Financial Aid/Student Employment
Opportunities for financial aid are available to Engineering and Computer Science students. Work opportunities sometimes are available as student assistants in offices and laboratories and on externally sponsored research projects. For more information, contact the Division of Engineering Student Services and Advising at 561-297-2780 or engineering-services@fau.edu.

Foreign Language Requirement
All students must satisfy the foreign language requirement for admission to the University.

Honors Program in Engineering

The Honors Program provides FAU's students in the College of Engineering and Computer Science the opportunity to achieve academic excellence beyond the level of standard coursework. Students interested in pursuing the Honors designation should meet the following eligibility and admission requirements.

Eligibility Requirements
Engineering and Computer Science students with strong academic records and interest in improving their leadership and innovation skills are encouraged to apply for the Honors Program in Engineering program. Students must meet the following program entry requirements:

1. Junior standing (must have completed 60 credits toward an engineering or computer science major);
2.  At the time of application, must have a cumulative GPA of at least 3.25 in the last 60 credits taken at FAU and any other previous institution of higher education;
3. Must not have received a grade lower than a "C" in any college course; and
4. Apply through the Division of Engineering Student Services and Advising Department

Program  Requirements

1. Preferred to maintain full-time status (excluding summer semesters); however, a one-semester grace period may be given if the student decides to study abroad or has other considerations that preclude full-time status.
2. Must maintain cumulative GPA of 3.25 or better. If a student's overall GPA falls below 3.25, a one-semester grace period may be given for improvement. If the  GPA does not recover, the student's honors status will be withdrawn.
   
3. Must not receive any grade lower than a "C" in any college course. 
4. Must not have any violation of the Code of Academic Integrity.
5. Must participate in at least one general enrichment activity (membership in a student professional organization, attend professional development seminar, other approved activity).
6. Must not receive a grade lower than a "B" in any Honors-in-the-Major course requirement (9 credits of honors-level coursework as approved in consultation with the advisor and the associate dean and capstone with honors compact).
7. Must complete Honors Directed Independent Study (EGN 5908, 3 credits), which will count as the thesis.
8. Must complete a formal Honors application.
   
   

Sample Flight Plan

Junior Year Fall Term
Engineering Honors Seminar	EGN 4933	0
Core Elective 1		1
Junior Year Spring Term
Engineering Honors Seminar	EGN 4933	0
Core Elective 2		1
Junior Year Summer Term
Engineering Honors Seminar	EGN 4933	0
Core Elective 3		1
Senior Year Fall Term
Engineering Honors Seminar	EGN 4933	0
Engineering Capstone Design 1		3
Senior Year Spring Term
Engineering Honors Seminar	EGN 4933	0
Engineering Capstone Design 2		1

 

Combined Degree Program Information

B.S. to M.S. Programs
To encourage undergraduates to pursue a graduate education, the College of Engineering and Computer Science offers joint B.S. to M.S. degree programs in its three departments: Civil, Environmental and Geomatics Engineering, Electrical Engineering and Computer Science, and Ocean and Mechanical Engineering. These programs allow students to complete both a bachelor's and a master's degree within five years. The undergraduate degree programs range from 120 to 127 credits, while the combined degree program includes a minimum of 150 credits. Students admitted after January 1, 2017, may count up to 12 credits of graduate coursework (5000 level or higher) taken as an undergraduate to satisfy both degrees. See academic program requirements.

Students with a cumulative GPA of at least 3.25 at the end of their junior year are eligible to apply to the graduate programs in the departments of Civil, Environmental and Geomatics Engineering and Electrical Engineering and Computer Science. For combined programs in the Department of Ocean and Mechanical Engineering, students with an overall GPA of above 3.0 and a GPA of above 3.25 in the last 60 credits of coursework completed at the time of admission may apply to the graduate programs. The GPA must be maintained until graduation from the B.S. degree.

The GRE is not required for these programs. All other degree requirements apply. See individual departments for the specific program descriptions appearing just before the master's degree programs. The College also offers a combined program leading to an M.S. in Biomedical Engineering that is available to all B.S. candidates in any major in the College.

B.S. to Ph.D. Programs
The normal path from B.S. degree to Ph.D. degree in the College of Engineering and Computer Science is through the M.S. degree and its associated requirements. The B.S. to Ph.D. Program gives highly qualified students in the College the option of bypassing the M.S. degree and moving to their doctoral research activities more rapidly. B.S. to Ph.D. students will not be required to write an M.S. thesis. Students selecting the B.S. to Ph.D. option who fail to pass the Ph.D. Qualifying/Candidacy examination will be allowed to switch to an M.S. program, complete the degree requirements and receive the M.S. degree. Admission to the B.S. to Ph.D. Program may be granted to students entering or already in a graduate engineering program, including students selected for the joint B.S. to M.S. program. Admission and degree requirements are listed below.

Admission Requirements
Students in the B.S. Program:

1. Satisfaction of the department's minimum GPA requirement, normally in the 3.2 – 3.3 range, in the last 60 credits of undergraduate coursework;
   
2. A combined score (verbal and quantitative) of at least 310 on the GRE;
3. A minimum of two letters of recommendation. Where possible these letters should address the student's qualifications for research.
   
   

Students in the M.S. Program at FAU:

1. Satisfaction of the department's minimum GPA requirement, normally in the 3.2 – 3.3 range, in the last 60 credits of undergraduate coursework;
2. A combined score (verbal and quantitative) of at least 310 on the GRE;
   
3. A minimum GPA of 3.5 in the graduate program at FAU;
4. Students must apply for the direct path Ph.D. program within the first year of graduate studies. Students who do not satisfy the GRE or GPA requirements stated above must obtain approval from the department and College graduate committees overseeing the graduate program and from the Graduate College before being admitted to the direct path program.

Degree Requirements

1. Successful completion of the department's doctoral qualifying/candidacy exam. This exam will normally be taken after the student has completed 24 credits of graduate coursework in the department.
2.  A minimum of 72 credits beyond the B.S. degree, distributed according to the following conditions:
   
   1. A minimum of 42 credits of graduate coursework from which a minimum of 27 credits of coursework must be in the doctorate-granting department (excluding directed independent study credits) and a minimum of 18 credits of 6000-level courses must be completed;
      
   2.  Except under unusual circumstances, no more than 6 credits are allowed for directed independent study and/or advanced research graduate courses;
   3.  No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree;
   4.  A minimum of 30 dissertation credits.
3. Successful completion and defense of the dissertation.

Master's Degree Program Information

(For master's degree programs, the GRE admission requirement is waived through and including fall 2023.)

Distance Education
Engineering credit courses in support of degree programs and professional development are available through the Division of Engineering Student Services and Advising (DESSA) in the following disciplines: Civil Engineering, Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering and Ocean Engineering. Students can enroll in one or more courses encompassing the six different disciplines each semester. DESSA provides access to university courses at industry sites and government agencies. The goal of DESSA is to deliver engineering and computer science programs to students any place and any time. For information, contact the DESSA Director, 561-297-3578, or visit DESSA's website.

Graduate Summer Internship Program
The College of Engineering and Computer Science supports a Graduate Summer Internship (GSI) Program through the FAU Career Center. Available to all master's degree students enrolled in the College, this program provides an opportunity to gain career-related, paid work experience during the summer semester. GSI application and placement are handled through the CDC. Interested students should contact the CDC early in the spring semester to establish eligibility and to submit an application packet. For information, call 561-297-3533 or visit its website.

Requirements for Students with Bachelor’s Degrees in Non-Engineering Disciplines
Students with bachelor's degrees in non-engineering disciplines may satisfy the undergraduate engineering requirements and earn an M.S. degree in Biomedical Engineering, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Ocean Engineering or Civil Engineering. Part-time or full-time study is possible. To receive the M.S. degree in engineering, these students must correct deficiencies in their programs of study by taking, in addition to regular graduate engineering courses, certain undergraduate engineering courses appropriate to the master's degree objective. Four or five such courses are typically required of students with B.S. degrees in science and 10-12 courses for non-science/engineering students. Students may opt for thesis or non-thesis options. The program of study will be individually tailored to each student's academic background, graduate engineering degree objective and relevant experience. It is expected that full-time students with appropriate preparation and background in math, science and engineering will complete the undergraduate courses phase of the program in one year.

Students must satisfy the following eligibility requirements:

1. A cumulative GPA of 3.00.
2. Completion of at least two semesters of college calculus with grades of "B" or better.
3. Satisfaction of departmental minimum GRE score requirements.
4. A letter of recommendation from their potential thesis advisor.

Specific course requirements for each program in the College of Engineering and Computer Science are listed as follows:

Electrical Engineering and Computer Science
The Department of  Electrical Engineering and Computer Science requires that each student and an academic advisor work out a customized plan of study based on the student's background and desired graduate area of study. The following remedial coursework represents a maximum plan. It can be shorter if the students have already taken some of the courses or equivalent courses. Students are expected to score a "C" or better in each of the courses and to maintain an average of 3.0 or better for all the remedial courses.

Requirements for science majors:

1. EEE 3300, Electronics 1;
2. EEL 2161, C for Engineers;
3. EEL 3111, Circuits 1;
4. EEL 3118L, Electronics Laboratory 1;
5. EEL 4656, Analysis of Linear Systems;
6. EEL 3470, Electromagnetic Fields and Waves; or EEL 4510, Introduction to Digital Signal Processing; or EEL 4512C, Principles of Communication Systems; or EEL 4652C, Control Systems 1.

Requirements for non-science majors:

1. The six requirements listed above;
2. MAC 2281, Calculus for Engineers 1;
3. MAC 2282, Calculus for Engineers 2;
4. PHY 2048, General Physics for Engineers 1;
5. PHY 2044, Physics for Engineers 2.

Civil, Environmental and Geomatics Engineering
The Department of Civil, Environmental and Geomatics Engineering requires the following remedial coursework:

1. EGN 3311, Statics;
2. EGN 3331, Strength of Materials;
3. Two civil and/or environmental engineering courses in the relevant area as determined by the graduate supervisory committee;
4. Any other course dictated by the graduate supervisory committee.

Ocean and Mechanical Engineering
The Department of Ocean and Mechanical Engineering requires the following remedial coursework. If students have not taken these classes during their undergraduate studies, their case needs to be reviewed by the department graduate committee, which may require them to take prerequisite classes for the graduate program and pass them with a grade of "B" or better:

1.  EGN 3311, Statics;
   
2.  EGN 3321, Dynamics;
   
3.  EGN 3331, Strength of Materials;
   
4.  EML 3701, Fluid Mechanics;
   
5.  MAC 2281, Calculus for Engineers 1;
   
6.  MAC 2282, Calculus for Engineers 2;
   
7.  MAC 2313, Calculus with Analytic Geometry 3;
   
8.  MAP 3305, Engineering Mathematics1; or MAP 2302, Differential Equations 1.
   
   

Interdisciplinary Minor and Certificates

Business
Graduate Minor

(Minimum of 15 credits required)

A minor in Business is available to students pursuing a non-thesis master's degree who wish to combine technical coursework in engineering or computer science with a sequence of courses designed to provide a broad background in modern business concepts. Thesis students may participate with approval of their major department.

The Business minor is available to students admitted to master's studies in any program in the College of Engineering and Computer Science. It is not available to students with non-degree-seeking status. Requirements for the minor include completion of five graduate-level business courses (3 credits each) from the list below (course descriptions may be found in the College of Business Course Descriptions section of this catalog):

1. ACG 6027, Financial Accounting Concepts;
2. FIN 6406, Financial Management;
3. ISM 6026, Management of Information Systems and Technology, or QMB 6603, Data Analysis for Managers;
4. Select one of the following courses: MAN 6937, Global Environment of Management; ENT 6196, Biotechnology Business Development; ENT 6016, Venture Creation; or MAN 6296, Leadership and Organizations;
5. MAR 6055, Marketing Functions and Processes.

Some course substitution may be possible for students with prior academic background in one or more of these areas. Additional requirements for master's degrees with a minor in Business are given in the individual program descriptions that follow.

The minor in Business is awarded upon graduation as an integral part of a master's degree program in Engineering or Computer Science; it is not awarded independent of these degrees. Courses taken as part of the Business minor apply toward the prerequisites for many M.B.A. programs but generally cannot be used to satisfy M.B.A. degree requirements.

Energy Resilience
Graduate Certificate

(Minimum of 12 credits required)

The availability of reliable electric power is foundational to the health and safety of citizens as well as the economy. Technology is rapidly providing solutions that increase the efficiency and resiliency of the electrical grid, while renewable energy technologies are providing cleaner sources of electric power. These technological advances are made possible by engineers and scientists with advanced knowledge of the power grid, data analysis techniques and renewable energy extraction. By specializing in these areas, graduate students will be well prepared to contribute to the efficiency and resiliency of the electrical grid as well as renewable power generation.

This 12-credit certificate provides graduate students with knowledge and skills in the concepts and technologies necessary to improve the efficiency and resiliency of energy generation, transmission and distribution.

Admission
The certificate program is open to students with a bachelor's degree in engineering or science and a GPA of at least 3.0. Students must satisfy the prerequisites for each course in the program. The average GPA of all four courses counted in the program must be 3.0 or better.

Curriculum
Select four courses from the list below. Additional graduate courses in energy and power systems may be counted in the certificate program with prior permission of the advisor.

Smart Grid	EEL 6297	3
Energy Engineering	EGN 5735	3
Power System Analysis and Control	EEL 5256	3
Advanced Photovoltaic Power Systems	EEL 6284	3
Solar Energy Engineering	EML 6417C	3
Advanced Energy Conversion Processes and Systems	EML 6451	3
Wind and Ocean Energy Turbines	EML 6455	3
Marine Renewable Energy	EOC 6145	3

 

Energy Resilience
Graduate Certificate
Professional Program

(Minimum of 12 credits required)

The Professional Energy Resilience certificate is designed specifically for working professionals, allowing professionals to advance their careers with an accelerated graduate program and obtain an advanced degree while continuing to work. This stand-alone certificate is tailored for professionals and alumni with graduate degrees who are looking for specialized knowledge in Energy Resilience. The course offering format includes evenings, weekends and online material. Admission details and degree requirements for this 12-credit certificate are noted above.

Doctoral Degree Program Information

(For doctoral degree programs, the GRE admission requirement is waived through and including fall 2023.)

Doctoral programs through the College of Engineering and Computer Science are available in the following disciplines: Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Ocean Engineering and Transportation and Environmental Engineering. Details on each program follow under the department in which each program is housed.

Academic Environment

The College of Engineering and Computer Science provides outstanding educational opportunities for students and personnel. With over 75 faculty, almost all with Ph.D. degrees, it is large enough to have a good selection of course offerings and student activities, yet small enough to provide the personal attention of smaller schools.

Each department has unique features and facilities indicated in the individual program descriptions. Each is affiliated with one or more national professional societies, providing students opportunities to engage in industry tours, hear professional speakers, interact and network with engineering and computer science professionals, develop leadership skills and participate in various social activities arranged by these student groups. Each has active programs of research with opportunities for student participation.

Florida Atlantic University is located in a high-tech region of the United States. Close affiliations with business and industry provide students many benefits, including job opportunities before and after graduation.

College Vision and Mission
The College of Engineering and Computer Science is committed to providing accessible and responsive programs of education and research recognized nationally for their high quality. The College aims to be the institution of choice for regional students, business and industry. As a community of scholars, the College leads by example with vision, inspiration, integrity and a shared sense of purpose. It promotes a stimulating and productive environment of work, study and scholarly inquiry for students, faculty and staff.

Through its programs in engineering and computer science, the College:

1. Educates those who will pioneer the advancement of knowledge and who will be the leaders of tomorrow;
   
2. Conducts basic and applied research in engineering, computer science and related interdisciplinary areas;
   
3. Provides service to the engineering and computer science professions, to the State of Florida, to the nation and to the community at large.

College Goals
The College's goals are results-oriented. As a community of scholars, it will:

1. Encourage young people to consider careers in engineering and computer science by introducing them to these fields while in middle and high school;
2. Prepare graduates in ways that provide them a basis for lifelong personal and professional development and that enable them to exercise leadership and make lasting contributions in their disciplines;
3. Continue on new roads of research and discovery in its existing areas of expertise, in emerging disciplines and in related interdisciplinary areas;
4. Provide the educational resources that working professionals need to keep pace with developments in their field;
5.  Magnify its positive impact in serving regional, state, national and global needs by building mutually beneficial linkages with business, industry, state colleges, K-12 programs and schools and other constituencies.

Educational Objectives
The baccalaureate experience in the Florida Atlantic University College of Engineering and Computer Science provides students with:

1. Preparation for Practice. Graduates will be prepared for entry-level positions in their discipline and for graduate/professional studies.
2. Tools for Creativity. Graduates will experience the creative and design processes and their application to typical engineering situations.
3. Societal Awareness. Graduates will receive the breadth of education necessary to integrate practice in their disciplines with the needs and interests of a diverse modern society.
4. Leadership Skills. Graduates will be prepared for leadership in their disciplines.

Expected Student Learning Outcomes
The baccalaureate educational objectives will be achieved by ensuring that graduates have:

1. An understanding of professional and ethical responsibility. Graduates will be familiar with the professional and ethical underpinnings of their discipline and with their professional obligation for continuing education and professional development.
2. A working knowledge of fundamentals, engineering tools and experimental methodologies. Graduates will have knowledge of math, science and engineering fundamentals. They will be able to combine these basics with their knowledge of experimental methodologies and modern engineering tools to identify, formulate and solve engineering problems.
3. An understanding of the social, economic and political contexts in which engineers must function. Graduates will be able to combine their knowledge of the social sciences and humanities with their own personal and professional experiences to demonstrate an understanding of the impact of engineering solutions in an increasingly diverse and technological society.
4. An ability to plan and execute an engineering design to meet an identified need. Graduates will be able to use their knowledge of fundamentals, engineering techniques and tools and project planning and management to design a system, component or process that satisfies constraints and meets an identified need.
5. An ability to function on multidisciplinary teams. Graduates will be able to function effectively on teams using their knowledge of team dynamics, team communication, social norms and conflict management.
6. An ability to communicate effectively. Graduates will be able to communicate their ideas and results to diverse audiences using their knowledge of written, oral and graphic communication.
   
   

Civil, Environmental and Geomatics Engineering

Faculty:
Kaisar, E., Chair; Nagarajan, S., Associate Chair; Abdellatef, M.; Arockiasamy, M.; Bloetscher, F.; Jahandar Lakshaki, M.; Jang, J.; Kan, D.; Liu, Y.; Meeroff, D. E.; Rosson, B.; Sarhang Zadeh, O.; Sobhan K.; Su, H.; Teegavarapu, R; Yong, Y.

Affiliated Faculty:
Gammack-Clark, J.; Roberts, C.; Xie, Z.

Adjunct Faculty:
Goly, A.; Lowiec, M.; Mitrovic, N.; Muniz, A.; Munuswamy, S.; Ortega, J.; Soltani Sobh, A.; Zheng, X.

The Department of Civil, Environmental and Geomatics Engineering offers the following programs of study:

Link to Bachelor of Science in Civil Engineering (B.S.C.V.)

Link to Bachelor of Science in Environmental Engineering (B.S.E.V.)

Link to Bachelor of Science in Geomatics Engineering (B.S.G.E.)

Link to Combined B.A. or B.S. in Biological and Physical Sciences and Second B.S. to M.S. with Major in Civil Engineering

Link to Combined B.S.C.V. to M.S. degree program

Link to Combined B.S.E.V. to M.S. degree program

Link to Combined B.S.G.E. to M.S. degree program

Link to Master of Science (M.S.) with major in Civil Engineering

Link to Doctor of Philosophy (Ph.D.) in Transportation and Environmental Engineering

Link to Transportation Engineering Certificate

Link to Transportation, Logistics and Supply Chain Management Certificate

Civil Engineering
Bachelor's Program

Civil engineers design the constructed environment that supports our society. From highways and buildings to bridges and water systems, the profession of civil engineering is responsible for much of the world in which
we live.

The program of study leading to the Bachelor of Science in Civil Engineering (B.S.C.V.) reflects the breadth of the profession. Students complete coursework in basic science and mathematics, engineering sciences, civil engineering systems and materials, and the major disciplines in civil engineering. Because of the tremendous impact civil engineers have on society, the curriculum also requires students to pursue studies in the social sciences and the humanities.

The B.S.C.V. program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

Civil Engineering Educational Objectives and Student Outcomes
The Civil Engineering program strongly supports the educational objectives and learning outcomes of the College of Engineering and Computer Science (see the Educational Objectives and Expected Student Learning Outcomes subsections previously listed in this section).

Program Educational Objectives are broad statements that describe the expected accomplishments and professional status of Civil Engineering graduates a few years beyond the baccalaureate degree.

The Civil Engineering program at Florida Atlantic University is dedicated to graduating civil engineers who, within a few years after graduation will:

1. Practice civil engineering  within the general areas of structural engineering, transportation engineering, geotechnical engineering and water resources/environmental engineering in the organizations that employ them;
   
2. Advance their knowledge of civil engineering,  both formally and informally, by engaging in lifelong learning experiences including attainment of professional licensure and/or graduate studies;
   
3. Serve as effective professionals  based on strong interpersonal and teamwork skills, an understanding of professional and ethical responsibility and a willingness to take the initiative and seek progressive responsibilities;
   
4. Participate as leaders in activities that support service to, and/or economic development of, the community, the region, the state and the nation.

The educational objectives of the Bachelor of Science in Civil Engineering program are achieved by ensuring that graduates have the following characteristics or student outcomes:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics;
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors;
3. An ability to communicate effectively with a range of audiences;
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts;
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives;
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions;
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
   
   

Civil Engineering
Bachelor of Science in Civil Engineering (B.S.C.V.)

(Minimum of 128 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above to be accepted in the Civil Engineering program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides  and below.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The Bachelor of Science in Civil Engineering degree will be awarded to students who:

1. Meet all general degree requirements of the University;
2. Complete the curriculum for the B.S. in Civil Engineering degree (see below);
3. Take the Fundamentals of Engineering examination (the first of two exams necessary for professional licensure; contact the department for details).

Curriculum
The Bachelor of Science in Civil Engineering degree requires 128 credits. For credit toward the degree, a grade of "C" or better must be received in each course listed. In addition, all prerequisites for each mathematics, science or engineering course must be completed with a grade of "C" or better before enrollment is permitted. The degree components are listed below.

General Education Program
College Writing 1 (1), (2)	ENC 1101	3
College Writing 2 (1), (2)	ENC 1102	3
General Education Program: Society and Human Behavior Courses (1), (3)		6
General Education Program: Global Citizenship Courses (1), (3)		6
General Education Program: Humanities Courses (1), (3)		6

 

Foundations of Math and Quantitative Reasoning
Calculus with Analytic Geometry 1 (1), (4)	MAC 2311	4
Calculus with Analytic Geometry 2 (1), (4)	MAC 2312	4
Foundations of Science and the Natural World
General Chemistry 1 (1)	CHM 2045	3  and
General Chemistry Lab 1 (1)	CHM 2045L	1
General Physics for Engineers 1 (1), (9)	PHY 2048	3  and
General Physics 1 Lab	PHY 2048L	1
Total		40
Basic Mathematics and Sciences
Engineering Mathematics 1	MAP 3305	3 or
Differential Equations 1	MAP 2302	3
Statistics Restricted Elective		3
Physical and Natural Science Restricted Elective 1		4
Physical and Natural Science Restricted Elective 2		4
Total		14

Statistics Restricted Elective: Probability and Statistics for Engineers (STA 4032), Stochastic Models for Computer Science (STA 4821), Probability and Statistics 1 (STA 4442) or equivalent.

Physical and Natural Science Restricted Elective 1: includes but is not limited to Physical Geology/Evolution of the Earth with Lab (GLY 2010C), Biological Science with Lab, Earth Science, or equivalent.

Physical and Natural Science Restricted Elective 2: includes but is not limited to Physics for Engineers 2 (PHY 2044) with lab (PHY 2049L), General Chemistry 2 (CHM 2046) with lab (CHM 2046L), or other physical or natural science course approved by the department.

Engineering Fundamentals
Engineering Graphics Elective
Computer-Aided Design	CGN 2327	3  or
Engineering Graphics	EGN 1111C	3
Fundamentals of Engineering	EGN 1002	3
Computer Programming Elective
Programming 1	COP 2220	3  or
Computer Applications in Engineering 1	EGN 2213	3  or
C for Engineers	EEL 2161	3
Statics	EGN 3311	3
Dynamics	EGN 3321	3
Strength of Materials	EGN 3331	3
Geomatics	SUR 3103	2
Geomatics Lab	SUR 3103L	1
RI: Construction Project Management	CCE 4031	3 or
Civil Engineering Project Management	CCE 5036	3
Total		24

 

Civil Engineering Technical Core
Soil Mechanics (5)	CEG 3011C	3
Analysis of Structures (5)	CES 3102C	3
Civil Engineering Materials (5)	CGN 3501C	3
Applied Hydraulics (5)	CWR 3201C	3
Environmental Science and Engineering (5)	ENV 3001C	3
Introduction to Transportation Engineering (5)	TTE 3004C	3
Total		18

 

Civil Engineering Design Core. Students must take four courses, one course in each of the four core areas to meet ABET criteria (6)
Geotechnical Engineering Design Core (select one)
Foundation Engineering	CEG 4012	3  or
Ground Improvement Design	CEG 4122	3  or
Pavement Design	CEG 4126	3
Structural Engineering Design Core (select one)
Reinforced Concrete Design	CES 4702	3  or
Structural Steel Design	CES 4605	3  or
Transportation Engineering Design Core (select one)
Transportation Planning and Logistics (5)	TTE 4005C	3  or
Transportation Operations and Logistics Management	TTE 4105	3  or
Highway Engineering	TTE 4810	3
Water Resources Engineering Design Core (select one)
Hydrologic Engineering	CWR 4202	3  or
Stormwater Modeling and Management	CWR 4307	3
Total		12

 

Additional Engineering Design Core
RI: Water and Wastewater Treatment Systems	ENV 4514	3 or
Water and Wastewater Treatment	ENV 5510	3
Subdivision Design	SUR 4463	2
Total		5

 

Capstone Design Core
RI: Civil, Environmental and Geomatics Engineering Design 1 (2), (5)	CGN 4803C	3
RI: Civil, Environmental and Geomatics Engineering Design 2 (2), (5)	CGN 4804C	3
Total		6

 

Technical Electives (Select 9 credits from the list)
Engineering Professional Internship	EGN 3941	0-4
Professional Internship	IDS 3949	0-4
Directed Independent Research in Engineering and Computer Science (8)	EGN 4911	0-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3
Total		9

Notes:

1. Contributes to University Core Curriculum requirements.
2. Contributes to Writing Across Curriculum (Gordon Rule) writing requirement.
3. General Education Program courses, totaling 6 credits, must be selected to satisfy Writing Across Curriculum (Gordon Rule) writing requirements.
4. Contributes to Gordon Rule mathematics requirement.
5. Includes a 1-credit laboratory .
6. All design professional core courses contain a communications component (writing or speaking)
7. Grading: S/U.
8. PHY 2048, General Physics 1 (4 credits) is an acceptable substitute, but only 3 credits will apply toward the degree.

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science in Civil Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Minors and Certificate Programs Appropriate for Civil Engineering
Civil engineering is a uniquely wide-ranging profession. Various departments offer minors and certificate programs that augment a student's civil engineering education. The faculty encourages students to pursue a minor or certificate, such as:

Surveying and Mapping certificate program, highly recommended (Department of Civil, Environmental and Geomatics Engineering)

Geographic Information Systems certificate program, highly recommended (Department of Geosciences)

Obtaining a minor or certificate will require the completion of credits beyond the 128 required for the B.S. in Civil Engineering. Contact the department offering the minor or certificate for more details.

Internships
Civil Engineering students are strongly encouraged to gain practical experience through participation in internship opportunities. However, internships may only substitute for one technical elective with prior approval from the department chair and only if taken for a grade (IDS 3949, Professional Internship or EGN 3941, Engineering Professional Internship). For more information, contact the FAU Career Center at 561-297-3533 or visit its website.

Combined Programs

Civil Engineering
bachelor of science in civil engineering (B.S.C.V.) to Master of Science (M.S.)
Combined Program

With an approximate duration of five years, the combined Bachelor of Science in Civil Engineering to Master of Science program provides an attractive way for students to continue their graduate work. The undergraduate degree program is 128 credits, while the combined degree program includes a minimum of 150 credits. Students admitted after January 1, 2017, may count 12 credits of graduate coursework (5000 level or higher) taken as an undergraduate to satisfy both degrees. See specific program requirements.

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

The combined degree program is 150 credits, 120 for the undergraduate degree and 30 for the master's degree. Students complete the undergraduate degree first, taking no more than 12 credits of graduate coursework in their senior year, which will then be counted to satisfy both degrees.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

To be eligible for the joint B.S.C.V./M.S. program, students must:

1. Have a cumulative GPA of 3.25 or higher (FAU and transfer courses);
2. Have a total institution GPA of 3.25 or higher (FAU courses); and
3. Formally apply to the joint program, completing the admissions process at least one semester prior to beginning the M.S. portion of the program.

Biological and Physical Sciences to Civil, Environmental or Geomatics Engineering to Civil Engineering
Bachelor of Arts (B.A.) or Bachelor of Science (B.S.) to Second Bachelor of Science (B.S.) to Master of Science (M.S.)
Combined Program

This program is offered in partnership with the Wilkes Honors College. Details for this combined degree program are listed in the Wilkes Honors College section.

Master's Program

Civil Engineering
Master of Science (M.S)

The mission of the Master of Science with Major in Civil Engineering program is to meet the advanced civil engineering educational needs of graduates of undergraduate programs, practicing engineers and those non-engineering professionals wishing to redirect their career paths. Graduates of the program possess these attributes or educational outcomes:

1. Ability to apply knowledge in civil engineering and related subjects significantly beyond the baccalaureate level;
2. Ability to communicate ideas and results professionally in written, oral and graphical forms;
3. Ability to independently conduct research or solve a significant practice-oriented design in civil engineering.

These educational outcomes result from successful completion of a well-planned, rigorous set of courses and a major research or design experience.

Students wishing to continue their education but not pursue a formal academic degree are welcome to take graduate courses with the appropriate technical preparation.

Admission Requirements
All students must comply with the College's admission requirements noted under the Master's Degree Program Information header. Once students meet all College requirements,applications are reviewed on a case-by-case basis. Students are normally admitted to the Master of Science in Civil Engineering program if they meet the following:

1. Possess a baccalaureate degree in Civil Engineering or a closely related engineering field. Students with non-engineering backgrounds are required to take remedical coursework as recommended by the departmental graduate committee. Click here for additional information.
2. Have achieved a 3.0 (on a 4.0 scale) grade point average in the last 60 credits of undergraduate work;
3. Have demonstrated proficiency in both written and spoken English. Students from non-English-speaking countries are required to take an Englsh language proficiency test and are expected to achieve a minimum TOEFL score of 550 on PBT (paper-based test), 79 on IBT (internet-based test) or 213  on CBT (computer-based test); 6.0 on IELTS; or 100 on Duolingo.
4. Agree to abide by the graduate admission requirements of the University as published in the University Catalog.
5. Distance Learning students must comply with the College of Engineering and Computer Science Distance Education guidelines noted under the Master's Degree Program Information header above.

Degree Requirements
The degree of Master of Science with major in Civil Engineering is awarded to the candidate who has:

1. Complied with University graduate policies and regulations;
2. Satisfied the University's graduate degree requirements; and
3. Completed the appropriate Plan of Study for the degree option selected.

Plan of Study 
A Plan of Study is a set of courses and a thesis or project activity chosen and completed in a sequence that meets the needs and interests of the individual student and the degree requirements and other stipulations of the University, College of Engineering and Computer Science and the department. There is no requirement for master's students to be full-time, nor is there an on-campus service requirement. The Plan of Study must be approved by the student's supervisory committee and the department no later than the end of the student's second semester in the program, regardless of the number of credits earned.

Degree Options
There are two degree options: Master of Science with Major in Civil Engineering with thesis and Master of Science with Major in Civil Engineering, courses only.

M.S. Civil Engineering with Thesis
(A total of 30 credits required.)

1. Requires 6 credits of Master's Thesis, and
   
2. Requires 24 credits of approved coursework (5000 level or higher) with the following constraints:
   
   1.  At least half of the total credits shall be designated as 6000-level courses or above;
   2. At least half of the total credits must be from CEGE courses;
3. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

M.S. Civil Engineering (courses only)
(A total of 30 credits required.)

1. Requires 30 credits of approved coursework (5000 level or higher) with the following constraints:
   1. At least half of the credits included in any master's degree program shall be designated as 6000-level courses.
   2. At least half of the total credits shall be from CEGE courses.
2. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Program Concentrations
Areas of concentration include:

• Structural/Geotechnical Engineering
• Transportation/Geomatics Engineering
• Water Resources/Environmental Engineering

Master of Science with Major in Civil Engineering students may complete one concentration, which includes a minimum of two core classes chosen from a list of courses for each concentration. Note: No more than 3 credits of Directed Independent Study may be applied toward the degree. All course selections must be part of an approved plan of study. All Master of Science with Major in Civil Engineering students must complete one semester of a 0-credit graduate seminar course.

Structural/Geotechnical Engineering Core
Soil Stabilization and Geosynthetics	CEG 6124
Advanced Structural Analysis	CES 6106
Finite Element Methods in Civil Engineering*	CES 6119
Bridge Design	CES 6325
Structural Dynamics	CES 6585
Prestressed Concrete	CES 6715

* Introduction to Finite Element Methods, (EGM 5351) is an acceptable substitute.

Transportation/Geomatics Engineering Core
Thermal Infrared Remote Sensing	SUR 6387C
Advanced Unmanned Aerial System Mapping	SUR 6502
Intelligent Transportation Systems	TTE 6272
Maritime Freight Operations	TTE 6508
Sustainable Public Transportation	TTE 6651
Highway Engineering	TTE 6815
Transportation System Analysis	TTE 6501
Terrestrial Laser Scanning	CEG 6304C

 

Water Resources/Environmental Engineering Core
Open Channel Hydraulics	CWR 6235
Dynamic Hydrology	CWR 6525
Water Resource System Engineering	CWR 6818
Air Pollution and Control	ENV 6115
Water Supply and Treatment	ENV 6418
Wastewater Engineering	ENV 6507
Sustainability and Pollution Prevention	ENV 6932

Note:  Credits of Directed Independent Study may be applied toward the degree with the approval of the department. All course selections must be part of an approved plan of study. All Master of Science with Major in Civil Engineering students must complete one semester of a 0-credit graduate seminar course.

Business Minor
Students electing to complete a Business minor must follow the College of Engineering and Computer Science guidelines for the Business minor noted above.

Thesis Supervision 
All M.S.C.V. students in the thesis option must select a supervisory committee. The supervisory committee must contain at least three members. The student's advisor will review and approve the student's plan of study. The chair of the committee and at least one of the other members must be chosen from the department faculty with expertise in the area of concentration chosen by the student. The third member may be chosen from the department faculty or from outside the department in accordance with the University guidelines established in the Graduate Governance document. The third member may be a professional from the practicing engineering community. All members of the committee should have doctoral degrees.

The Thesis
The master's thesis is a comprehensive original work that contributes to the understanding of an engineering problem.

The thesis is presented at an oral defense, the time and date of which must be approved by the supervisory committee. A minimum of two weeks prior to the anticipated defense, the written thesis must be delivered to the supervisory committee in the format described in a document titled, Requirements and Guidelines for Graduate Theses and Dissertations, that is available from the FAU Graduate College.

The supervisory committee determines the format of the defense and, in private consultation at the completion of the oral defense, whether or not the defense was successful and the thesis is acceptable in scope and quality.

Students are expected to provide updates on their progress each semester, both written and oral. A progress report is required to record a satisfactory progress grade for thesis credits. It is expected that, at a minimum, one peer-reviewed paper will be submitted as part of the thesis option. At a minimum, one presentation or poster at a conference is also expected.

Non-Thesis Supervision
M.S.C.V. students in the courses-only option will select a department faculty member with expertise in their chosen area of concentration to be the program supervisor who reviews and approves the student's plan of study.

Transfer Credits
A maximum of 9 credits of graduate-level work earned at FAU as an undergraduate or while in non-degree status at FAU and a maximum of 6 credits transferred from another regionally or nationally accredited institution may be used to satisfy M.S. with Major in Civil Engineering degree requirements subject to the following restrictions:

1. The student must present a transcript identifying the course in which the student earned a grade of "B" or better, along with a catalog/course description.
2. The course must not have been counted toward any other graduate degree awarded or to be awarded to the student.
3. The course is relevant to the student's approved Plan of Study.
4. No credit earned ten or more years before the degree is awarded may be counted toward the M.S. with Major in Civil Engineering degree program. Credits transferred into or applied to the program are considered as earned in the first semester of enrollment.

Professional Licensing
Engineering is a regulated profession, and many civil engineers become licensed Professional Engineers (P.E.) through a process of examination and certification of engineering experience. Since undergraduate experience and training varies considerably among graduate students, students should contact the Florida Board of Professional Engineers for specific information about eligibility to sit for the licensing examinations. Note that completion of a master's degree in Engineering is not sufficient to qualify students from non-engineering backgrounds for licensure in Florida, and such students may not refer to themselves as "engineers" in Florida in accordance with CH 287.055 F.S. Where there are questions, students are asked to contact the Florida Board of Professional Engineers directly. The Florida Board of Professional Engineers' address is:

Florida Board of Professional Engineers
2507 Callaway Road, Suite 200
Tallahassee, Florida 32303-5268
850-521-0500 (Telephone)
850-521-0521 (Fax)
www.fbpe.org/

Financial Aid
Full-time students may be considered for a graduate assistantship, which provides part-time employment in the department. Full or partial tuition waivers may also be awarded to graduate assistants. The number of assistantships is limited, and they are awarded on the basis of the technical area of interest, the student's experience and academic record. Interested students should contact the department. Other financial aid opportunities also may be available through the University. Contact the FAU Financial Aid Office for more information.

Civil, Environmental and Geomatics Engineering
The Department of Civil, Environmental and Geomatics Engineering requires the following remedial coursework for students with non-engineering backgrounds:

1. EGN, Statics;
2. EGN 3331, Strength of Materials;
3. Two civil and/or environmental engineering courses in the relevant area as determined by the graduate supervisory committee;
4. Any other course dictated by the graduate supervisory committee.
   
   

Doctoral Program

Transportation and Environmental Engineering
Doctor of Philosophy (Ph.D.)

(Minimum of 72 credits required)

(For this degree program, the GRE admission requirement is waived through and including fall 2023.)

The Department of Civil, Environmental and Geomatics Engineering offers a Doctor of Philosophy (Ph.D.) degree focused on urban mobility and environmental/water resources sustainability. This degree provides students with a fundamental and applied research-based education suitable for seeking employment in industry, government or academia.

Admission Requirements 
Applicants should have a master’s degree in Engineering, Science, Urban Planning, Transportation Logistics or Mathematics from an accredited college or university. A student with outstanding scholastic achievement who holds only a baccalaureate degree in Engineering, Science, Urban Planning, Transportation Logistics or Mathematics from an accredited college or university may be admitted directly to this Ph.D. program and be eligible to earn the Master's en Passant. Specific requirements for the B.S. to Ph.D. are found here.

Requirements for students with previous degrees in non-engineering disciplines are found here. Additional eligibility requirements are:

1. A cumulative GPA of 3.00;
2. Completion of at least two semesters of college calculus with grades of "B" or better;
3. Satisfaction of departmental minimum GRE score requirements; and
4. A letter of recommendation from their potential graduate advisor.

The Department of Civil, Environmental and Geomatics Engineering requires the following deficiency coursework for students without an engineering bachelor’s degree from an accredited program: two fundamental engineering courses in the relevant area, as determined by the dissertation advisor or department graduate committee.

1. Applicants must have a 3.0 GPA (on a 4.0 scale) or better in the last 60 credits of work attempted coursework and must have an official transcript forwarded directly to the FAU Graduate College from each college-level institution attended;
2. Applicants must submit the Graduate Record Examination (GRE) score. The GRE requirement is waived with proof of passing the Fundamentals of Engineering (FE) or Principles and Practice of Engineering (PE) exam. The GRE requirement is waived for applicants who have a previous degree from FAU’s College of Engineering and Computer Science;
3. A student from a non-English-speaking country is required to take the Test of English as a Foreign Language (TOEFL) and achieve a score of at least 550 (paper-based) or 213 (computer-based) or 79 (iBT). This requirement may be waived for students who have obtained a prior degree from a U.S. institution;
4. Applicants must submit to the Graduate College at least two letters of recommendation attesting to the student's ability to pursue with distinction a curriculum of advanced study and research in a chosen area;
5. Applicants must abide by the policies and regulations and the graduate admission requirements of the University as outlined in this University Catalog;
6. Conditional admission may be permitted if the above conditions are not met.

Graduation Requirements
The degree will be conferred on candidates who have fulfilled the following requirements:

1. Completed the curriculum for the Ph.D. in Transportation and Environmental Engineering, which entails:
   • Successful completion of 72 credits of course and dissertation work beyond the baccalaureate degree with a minimum grade of “B" in each course. Up to 30 credits of coursework from an approved master’s degree program may be applied;
   • Maintenance of a minimum 3.0 GPA in all coursework attempted for the degree. Failure to maintain a minimum GPA of 3.0 may result in creating an Academic Progression Plan (APP) for the student.
     
     

     Core Courses - two courses for 6 credits
     Sustainability and Pollution Prevention	ENV 6932	3
     Transportation System Analysis	TTE 6501	3
     Technical Electives - three courses for 9 credits
     Select three courses at the 5000 or 6000 level from the Department of Civil, Environmental and Geomatics Engineering. The courses must be approved by the dissertation advisor.
     Other Electives - two courses for 6 credits
     Select two courses at the 5000, 6000 or 7000 level from the College of Engineering and Computer Science or other FAU colleges. No more than 3 credits of Directed Independent Study (DIS) or Advanced Research (CGN 7978). The courses must be approved by the dissertation advisor.
     Dissertation (CGN 7980) - 21 credits (minimum) for students entering with a master's degree
     Up to 3 credits of graduate internship (EGN 5940) may be used to satisfy the 21-credit dissertation minimum requirement, with approval of the dissertation advisor.
     Graduate Seminar (CGN 5937) - two semesters

2. Successful completion of a qualifying exam is required upon completion of 15 credits of core and technical elective courses; 
3. Successful completion of a dissertation proposal defense is typically required within two semesters after passing the qualifying exam; 
4. Prior to the dissertation defense, the student is required to have published or have accepted for publication a refereed research paper in a field of study deemed acceptable by the dissertation committee. A journal article is preferred, but a peer-reviewed conference paper is also acceptable;
5. Successful completion of an oral defense of the written doctoral dissertation based on original research in the student’s area of specialization. The Dissertation/Supervisory Committee, the Department Chair and the Graduate College must have approved the dissertation and oral defense;
6. Complied with the University’s Graduate Policies and Regulations and satisfied the University’s Graduate Degree Requirements.

Dissertation/Supervisory Committee
Upon acceptance into the Ph.D. Program, a student will select an advisor from the department faculty members to serve as chair of the Dissertation/Supervisory Committee. The student’s Ph.D. Dissertation/Supervisory Committee will have a minimum of four members with at least two of them having expertise in the research area. At least two committee members must be from the Department of Civil, Environmental and Geomataics Engineering. One member and/or co-chair of the committee can be from outside the department. Also the committee may include a member from another institution or industry. The Dissertation/Supervisory Committee shall approve the dissertation proposal, monitor academic progress every semester, evaluate the dissertation defense and approve the final doctoral dissertation document.

Qualifying Exam
Upon successful completion of core and technical elective courses, the student will be required to complete a qualifying examination. The examination is scheduled after the last day of the final examination period and before the end of the fall semester and the spring semester each year. The examination will be in two parts: One covering the core courses and one covering the technical elective subjects. An overall grade of 70 percent on each part of the written examination is passing. Students who score below 70 percent on certain parts of the written examination are given the option of retaking exams on areas in which they scored less than 70 percent. The student must score at least 70 percent in each subject that is retaken. Normally, two failures will result in the student’s dismissal from the Ph.D. program. After passing the Qualifying Exam, the student advances to candidacy.

Proposal Defense: Within two semesters after successful completion of the Qualifying Exam, the candidate must orally defend the dissertation proposal to the Dissertation/Supervisory Committee for approval. The student should submit a written proposal report to the Dissertation/Supervisory Committee for review prior to the oral presentation.

Dissertation Defense: The doctoral dissertation shall be written in the format specified by the Graduate College. The dissertation must be defended orally and represent an original piece of research that advances the body of knowledge in the field. A written dissertation is submitted to the members of the committee who may approve, suggest additional work or reject the dissertation work after the defense.

Transportation Engineering
Graduate Certificate

(Minimum of 12 credits required)

Transportation engineering is an interdisciplinary field that integrates many aspects of engineering and computer science fundamentals, quantitative methods, and technology innovations associated with traffic operations, safety, intelligent transportation, supply chain and management. This is a practice-oriented program designed to assist engineers, planners, researchers and technical professionals in the launch or development of their careers in the transportation field.

Admission
The graduate certificate in Transportation Engineering is open to all prospective students and industry professionals who hold a bachelor's degree in Engineering or a related field. Prospective students must have a 3.0 GPA to ensure equivalency to graduate standing. Students enrolled in this certificate program are classified as non-degree-seeking students. Credits earned by non-degree students in this program may be applied later to a master of science degree program, if students choose to pursue such a degree. Only up to one third of the non-degree credits with a grade of "B" or higher can be counted toward a graduate degree.

Curriculum
Students must complete four courses from the following list or the equivalent with a minimum of a 3.0 GPA.

Intelligent Transportation Systems	TTE 6272	3
Transportation System Analysis	TTE 6501	3
Transportation and Supply Chain Systems	TTE 6507	3
Maritime Freight Operations	TTE 6508	3
Highway Engineering	TTE 6815	3

Transportation, Logistics and Supply Chain Management
Graduate Certificate

(Minimum of 12 credits required)

To provide students with the knowledge necessary in this age of connected supply chains, the Department of Information Technology and Operations Management (ITOM) in the College of Business and the Department of Civil, Environmental and Geomatics Engineering (CEGE) in the College of Engineering and Computer Science offer a jointly designed certificate in Transportation, Logistics and Supply Chain Management. This 12-credit certificate permits graduate students to expand their knowledge on the technical skills of transportation engineering and the analytical business decision-making skills of supply chain management. Details for this certificate program can be found in the Interdisciplinary Programs section of the catalog.

Admission
This certificate program is open to students who have a bachelor's degree in business or engineering or in a related field and a GPA of at least 3.0. Students must satisfy the prerequisites for each course in the program.

Curriculum
All four required courses must be completed with a GPA of 3.0 or better. All course materials are in English; all international students must demonstrate proficiency in English to enter the program.

Required Courses by Department
ITOM Department (select two from the list, one of which must be MAN 6596)
Operations Management	MAN 6501	3
Project Management	MAN 6581	3
Supply Chain Management	MAN 6596	3
CEGE Department (select two from the list)
Transportation System Analysis	TTE 6501	3
Transportation and Supply Chain Systems	TTE 6507	3
Maritime Freight Operations	TTE 6508	3

Environmental Engineering
Bachelor's Program

Environmental engineers integrate principles of engineering, mathematics, earth science, soil science, life science and materials science with emphasis on the design and development of solutions to environmental challenges, such as improvement of water, air pollution control, safe disposal of wastes and the stewardship of our natural resources. 

Environmental Engineering Educational Objectives and Student Outcomes
The Environmental Engineering program strongly supports the educational objectives and learning outcomes of the College of Engineering and Computer Science (see the Educational Objectives and Expected Student Learning Outcomes subsections previously listed in this section).

Program Educational Objectives are broad statements that describe the expected accomplishments and professional status of Environmental Engineering graduates a few years beyond the baccalaureate degree.

The Environmental Engineering program at Florida Atlantic University is dedicated to graduating environmental engineers who, within a few years after graduation will:

1. Practice environmental engineering  within the general areas of water and wastewater, air quality, solid and hazardous waste, and groundwater and soils in the organizations that employ them;
   
2. Advance their knowledge of environmental engineering, both formally and informally, by engaging in lifelong learning experiences including attainment of professional licensure and/or graduate studies;
   
3. Serve as effective professionals  based on strong interpersonal and teamwork skills, an understanding of professional and ethical responsibility and a willingness to take the initiative and seek progressive responsibilities;
   
4. Participate as leaders  in activities that support service to, and/or economic development of, the community, the region, the state and the nation.
   

The educational objectives of the Bachelor of Science in Environmental Engineering program are achieved by ensuring that graduates have the following characteristics or student outcomes:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics;
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors;
3. An ability to communicate effectively with a range of audiences;
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts;
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives;
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions;
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Link to Combined Programs

Environmental Engineering
Bachelor of Science in environmental engineering (B.S.e.v.)

(Minimum of 120 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above to be accepted in the Environmental Engineering program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides  and below.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The Bachelor of Science in Environmental Engineering degree will be awarded to students who:

1. Meet all general degree requirements of the University;
2. Complete the curriculum for the B.S. in Environmental Engineering degree (see below);
3. Take the Fundamentals of Engineering examination (the first of two exams necessary for professional licensure; contact the department for details).

Curriculum
The Bachelor of Science in Environmental Engineering degree requires120 credits. For credit toward the degree, a grade of "C" or better must be received in each course listed. In addition, all prerequisites for each mathematics, science or engineering course must be completed with a grade of "C" or better before enrollment is permitted. The degree components are listed below.

General Education Program
College Writing 1 (1), (2)	ENC 1101	3
College Writing 2 (1), (2)	ENC 1102	3
General Education Program: Society and Human Behavior Courses (1), (3)		6
General Education Program: Global Citizenship Courses (1), (3)		6
General Education Program: Humanities Courses (1), (3)		6

 

Foundations of Math and Quantitative Reasoning
Calculus with Analytic Geometry 1 (1), (4)	MAC 2311	4
Calculus with Analytic Geometry 2 (1), (4)	MAC 2312	4
Foundations of Science and the Natural World
General Chemistry 1  or Engineering Chemistry (1)	CHM 2045 or EGN 2095	3  and
General Chemistry Lab 1  or Engineering Chemistry Lab (1)	CHM 2045L or EGN 2095L	1
General Physics for Engineers 1 (1), (9)	PHY 2048	3 and
General Physics 1 Lab	PHY 2048L	1
Total		40
Basic Mathematics and Sciences
General Chemistry 2 (1)	CHM 2046	3  and
General Chemistry 2 Lab (1)	CHM 2046L	1
Engineering Mathematics 1	MAP 3305	3  or
Differential Equations	MAP 3302	3
Earth Science Elective (1)		3
Biological Science Elective (1)		4
Statistics Restricted Elective		3
Total		17

Statistics Restricted Elective: Probability and Statistics for Engineers (STA 4032), Stochastic Models for Computer Science (STA 4821), Probability and Statistics 1 (STA 4442) or equivalent.

Engineering Fundamentals
Engineering Graphics Elective
Computer-Aided Design	CGN 2327	3  or
Engineering Graphics	EGN 1111C	3
Fundamentals of Engineering	EGN 1002	3
Computer Programming Elective
Programming 1	COP 2220	3 or
Computer Applications in Engineering 1	EGN 2213	3  or
C for Engineers	EEL 2161	3
Statics	EGN 3311	3
Strength of Materials	EGN 3331	3
Engineering Thermodynamics	EGN 3343	3
Total		18

 

Environmental Engineering Technical Core
Soil Mechanics (5)	CEG 3011C	3
Applied Hydraulics (5)	CWR 3201C	3
Environmental Science and Engineering (5)	ENV 3001C	3
RI: Environmental Fate and Transport	ENV 4053	3
Introduction to Pollution Prevention and Sustainability	ENV 4072	3
Total		15

 

Environmental Engineering Design Core
Hydrologic Engineering	CWR 4202	3
Air Pollution and Control Systems	ENV 4112	3
Air Pollution Lab	ENV 4112L	1
RI: Solid and Hazardous Waste and Site Remediation	ENV 4341	3
RI: Water and Wastewater Treatment Systems	ENV 4514	3 or
Water and Wastewater Treatment	ENV 5510	3
Subdivision Design	SUR 4463	2
Total		15

 

Capstone Design Core
RI: Civil, Environmental and Geomatics Engineering Design 1 (2), (5), (10)	CGN 4803C	3
RI:  Civil, Environmental and Geomatics Engineering Design 2 (2), (5), (11)	CGN 4804C	3
Total		6

 

Technical Electives (Select 9 credits from the list) (6)
Environmental Geochemistry	GLY 4241	3
Hydrogeology	GLY 4822	3
Oceanography	OCE 3008	3
Sustainable Cities	URP 4403	3
Environmental Planning Methods	URP 4420	3
Environment and Disease	ANT 4463	3
Environmental Ethics	PHI 3640	3
Global Environmental Politics and Policies	INR 4350	3
Environmental Economics	ECP 4302	3
Entrepreneurship	ENT 4024	3
Engineering Professional Internship	EGN 3941	0-4
Professional Internship	IDS 3949	0-4
Directed Independent Research in Engineering and Computer Science (8)	EGN 4911	0-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3
Total		9

Notes:

1. Contributes to University Core Curriculum requirements.
2. Contributes to Writing Across Curriculum (Gordon Rule) writing requirement.
3. General Education Program courses, totaling 6 credits, must be selected to satisfy Writing Across Curriculum (Gordon Rule) writing requirements.
4. Contributes to Gordon Rule mathematics requirement.
5. Includes a 1-credit laboratory.
6. All design core courses contain a communications component (writing or speaking).
7. Grading: S/U.
8. PHY 2048, General Physics 1 (4 credits) is an acceptable substitute, but only 3 credits will apply toward the degree.
9. Prerequisites are ENV 4514 and SUR 4463.
10. Prerequisite is CGN 4803C.

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science in Environmental Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Internships
Environmental Engineering students are strongly encouraged to gain practical experience through participation in internship opportunities. However, internships may only substitute for one environmental engineering technical elective with prior approval from the department chair and only if taken for a grade (IDS 3949, Professional Internship) for a total of three semesters. For more information, contact the FAU Career Center at 561-297-3533 or visit its website.

Combined Programs

enivronmental engineering to Civil Engineering
Bachelor of science in environmental engineering (B.S.E.V.) to Master of science (m.s.)
combined program

Degree Program
This program allows Bachelor of Science in Environmental Engineering (B.S.E.V.) students the opportunity to complete the Master of Science (M.S.) with Major in Civil Engineering in less time than the traditional M.S. program. This combined degree program is intended for academically talented students and high achievers. After application and admittance to the M.S. graduate program at the beginning of the senior year, up to 12 credits of approved graduate-level courses may be taken and counted toward both the B.S.E.V. and the M.S. with Major in Civil Engineering degrees as long as the following criteria are met:

1. The student has met the minimum of 120 credits for the B.S.E.V. degree, and
2. The student has taken a minimum of 30 credits (5000 level or higher) for the M.S. with Major in Civil Engineering.

The combined degree program is 150 credits, 120 for the undergraduate degree and 30 for the master's degree. Students complete the undergraduate degree first, taking no more than 12 credits of graduate coursework in their senior year, which will then be used to satisfy both degrees.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition  Guides.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

To be eligible for the joint B.S.E.V./M.S. program, students must:

1. Have a cumulative GPA of 3.25 or higher (FAU and transfer courses);
2. Have a total institution GPA of 3.25 or higher (FAU courses); and
3. Formally apply to the joint program, completing the admissions process at least one semester prior to beginning the M.S. portion of the program.
   
   

BIOLOGICAL AND PHYSICAL SCIENCES TO CIVIL, ENVIRONMENTAL OR GEOMATICS ENGINEERING TO CIVIL ENGINEERING
BACHELOR OF ARTS (B.A.) OR BACHELOR OF SCIENCE (B.S.) TO SECOND BACHELOR OF SCIENCE (B.S.) TO MASTER OF SCIENCE (M.S.)
COMBINED PROGRAM

Details for this combined degree program are listed in the Wilkes Honors College section.

Geomatics Engineering
Bachelor's Program

The program of study leading to the Bachelor of Science in Geomatics Engineering (B.S.G.E.) deals with designing solutions to measure, map, model, analyze and graphically display the real world. Graduates will explore cutting edge technology in image processing, digital photogrammetry, remote sensing, satellite-based global positioning, geographic information systems, laser scanning and digital mapping.

The B.S.G.E. program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org.

Students complete coursework in basic science and mathematics, engineering sciences and the main disciplines in geomatics engineering. Because of the major impact geomatics engineers have on society, the curriculum also requires students to complete the General Education Program. This area of study also offers a minor in Geomatics Engineering and a certificate in Surveying and Mapping.

Geomatics Engineering Educational Objectives
Program Educational Objectives are broad statements that describe the expected accomplishments and professional status of Geomatics Engineering graduates a few years beyond the baccalaureate degree.

The Geomatics Engineering Program at Florida Atlantic University is dedicated to graduating geomatics engineers who, within a few years after graduation will:

1. Practice geomatics engineering  within the general areas of boundary and land surveying, geographic information systems (GIS), photogrammetry, remote sensing, mapping, geodesy, and global navigation satellite systems in the organizations that employ them;
   
2. Advance their knowledge of geomatics engineering,  both formally and informally, by engaging in lifelong learning experiences, including attainment of professional licensure and/or graduate studies.
   
3. Serve as effective professionals,  based on strong interpersonal and teamwork skills, an understanding of professional and ethical responsibility, and a willingness to take the initiative and seek progressive responsibilities.
   
4. Participate as leaders in activities that support service to, and/or economic development of, the community, the region, the state and the nation.

Geomatics Engineering Student Outcomes
The educational objectives of the Bachelor of Science in Geomatics Engineering program are achieved by ensuring that graduates have the following characteristics or student outcomes:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics;
2. An ability to apply engineering design to produce solutions that meet specific needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors;
3. An ability to communicate effectively with a range of audiences;
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts;
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives;
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions;
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Link to Geomatics Engineering Minor

Link to Surveying and Mapping Certificate

Link to Combined Programs

Geomatics Engineering
Bachelor of Science in geomatics engineering (b.s.g.e.) 

(Minimum of 120 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above in order to be accepted into the Geomatics Engineering program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the IGeneral Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition  Guides.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The Bachelor of Science in Geomatics Engineering degree will be awarded to students who:

1. Meet all general degree requirements of the University;
2. Complete the curriculum for the B.S.G.E. in Geomatics Engineering degree (see below);
3. Take the National Council of Examiners for Engineering and Surveying (NCEES) Fundamentals of Surveying Examination (the first of two exams necessary for the professional surveyors and mappers license). Contact Geomatics Engineering for details.

Curriculum
The Bachelor of Science in Geomatics Engineering degree requires 120 credits. For credit toward the degree, a grade of "C" or better must be received in each course listed, except for humanities and social science courses not applied toward Writing Across Curriculum (Gordon Rule) writing requirements. In addition, all prerequisites for each mathematics, science or engineering course must be completed with a grade of "C" or better before enrollment is permitted. The degree components are listed below.

General Education Program - 39 credits
Foundations of Written Communication Courses - 6 credits
College Writing 1 (1), (2)	ENC 1101	3
College Writing 2 (1), (2)	ENC 1102	3
Foundations of Mathematics and Quantitative Reasoning Courses - 6 credits
Calculus with Analytic Geometry 1 (1), (4)	MAC 2311	4
Introductory Statistics	STA 2023	3
Foundations of Science and the Natural World Courses - 6 credits
General Physics for Engineers 1 (1), (8)	PHY 2048  and	3
General Physics 1 Lab	PHY 2048L	1
Students must take one additional course from the list below:
General Chemistry 1	CHM 2045 and	3
General Chemistry 1 Lab	CHM 2045L	1
Physical Geology/Evolution of the Earth	GLY 2010C	4
Foundations of Society and Human Behavior Courses - 6 credits (1), (3)
Foundations of Global Citizenship Courses - 6 credits (1), (3)
Foundations of Humanities Courses - 6 credits (1), (3)
Total		39

 

Additional Basic Mathematics and Sciences Electives - 15 credits
Introduction to Calculus with Applications	MAC 2210 or	4
Calculus with Analytic Geometry 2	MAC 2312	4
Or  any mathematics course for which one of the math courses is a direct prerequisite
Introduction to Physical Geography	GEO 2200C	3
Select 8 credits from the Foundations of Science and the Natural World Group A or B not already taken for credit		8

 

Business Electives - 3 credits (select one course)
Principles of Accounting 1	ACG 2021	3
Entrepreneurship	ENT 4024	3
Entrepreneurial Assistance Project	ENT 4934	3
Introduction to Business	GEB 2011	3
Information Systems Fundamentals	ISM 2000	3
Introduction to Management and Organizational Behavior	MAN 3025	3
Principles of Real Estate	REE 3043	3
Engineering Graphics	EGN 1111C	3

 

Engineering Fundamentals - 15 credits
Fundamentals of Engineering	EGN 1002	3
Introduction to Mapping and GIS (5)	GIS 3015C  or	3
GIS for Civil Engineering Applications	CGN 4321	3
Geomatics	SUR 3103  and	2
Geomatics Lab	SUR 3103L	1
Computer-Aided Design	CGN 2327  or	3
Computer Programming Elective
Programming 1	COP 2220  or	3
Computer Applications in Engineering 1	EGN 2213  or	3
C for Engineers	EEL 2161	3

 

Construction Engineering Core - 6 credits
Engineering and Construction Surveying	SUR 3205	2
Engineering and Construction Surveying Lab	SUR 3205L	1
RI: Construction Project Management	CCE 4031  or	3
Civil Engineering Project Management	CCE 5036	3
Introduction to Transportation Engineering (5)	TTE 3004C	3

 

Surveying Engineering Core - 12 credits
Automated Surveying and Mapping	SUR 3141 and	2
Automated Surveying and Mapping Lab	SUR 3141L	1
Measurement Theory and Data Analysis	SUR 3520	3
Cadastral Principles and Legal Aspects	SUR 4403	3
Geodesy and Geodetic Positioning	SUR 4530  and	2
Geodesy and Geodetic Positioning Lab	SUR 4530L	1

 

Reality Capture Core - 6 credits Select any combination to total 6 credits.
Introduction to Laser Mapping Technology	CCE 4514C or	3
Terrestrial Laser Scanning	CEG 6304C	3
Digital Photogrammetry Principles and Applications	SUR 4331C or	3
Digital Photogrammetry and Image Interpretation	SUR 6335C	3
Thermal Infrared Remote Sensing and Applications	SUR 4384 or	3
Thermal Infrared Remote Sensing	SUR 6387C	3

 

Capstone Design - 6 credits
Subdivision Design	SUR 4463  and	2
Land Subdivision and Platting Lab	SUR 3463L	1
Capstone Elective - Select one
RI: Civil, Environmental and Geomatics Engineering Design 1	CGN 4803C  or	3
RI: Engineering Technology Capstone	ETG 4951	3

 

Technical Electives - Select 18 credits from the list
Any approved College of Engineering and Computer Science course 3000-level and above
Remote Sensing of the Environment (5) (6)	GIS 4035C	3
Principles of Geographic Information Systems (5) (6)	GIS 4043C	3
Digital Image Analysis (5) (6)	GIS 4037C	3
Engineering Professional Internship	EGN 3971	0-4
Directed Independent Research in Engineering and Computer Science (7)	EGN 4911	0-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3
New Venture Launch	ENT 4015	3
Advanced Business Planning	ENT 4114	3
Entrepreneurship Internship	ENT 4940	1-4
Environmental Issues in Atmospheric and Earth Science	ESC 3704	3
Principles of Financial Management	FIN 3403	3
Sea-Level Rise: Impacts and Responses	GEO 3342	3
Quantitative Methods	GEO 4022	3
Spatial Data Analysis	GEO 4167C	3
Water Resources	GEO 4280C	3
Biogeography	GEO 4300	3
Urban Geography	GEO 4602	3
Transportation and Spatial Organization	GEO 4760	3
Introduction to Mapping and GIS	GIS 3015C	3
Digital Image Analysis (5)	GIS 4037C	3
Applications of GIS (5)	GIS 4048C	3
Programming in GIS (5)	GIS 4102C	3
Geovisualization and GIS (5)	GIS 4138C	3
Coastal and Marine Science	GLY 3730	3
Field Methods	GLY 4750C	3
Hydrogeology	GLY 4822	3
Engineering Geology	GLY 4830	3
Introduction to Hydrogeology Modeling and Aquifer Test (5)	GLY 4832C	3
Professional Internship	IDS 3949	0-4
Leadership, Supervisory Skills and Team Development	MAN 4046	3
Marketing Management	MAR 3023	3
Planning Methods	URP 4011	3
City Structure and Change	URP 4055	3
Planning Implementation Strategies	URP 4120	3
Introduction to Visual Planning Technology	URP 4254	3
Plan Making and Design	URP 4343	3
Sustainable Cities	URP 4403	3
Environmental Planning Methods	URP 4420	3
Urban Development Planning Methods	URP 4546	3
Capital Facilities Planning	URP 4730	3
Site Planning	URP 4870	3

Notes:

1. Contributes to University Core Curriculum requirements.
2. Contributes to Writing Across Curriculum (Gordon Rule) writing requirement.
3. General Education Program courses, totaling 6 credits, must be selected to satisfy Writing Across Curriculum (Gordon Rule) writing requirements.
4. Contributes to Gordon Rule mathematics requirement.
5. Includes a 1-credit laboratory.
6. Students pursuing the GIS certificate should consider taking these courses.
7. Grading: S/U.
8. PHY 2048, General Physics 1 (4 credits) is an acceptable substitute, but only 3 credits will apply toward the degree.

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science in Geomatics Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Entrepreneurial Management Minor  (College of Business)

Surveying and Mapping Certificate Program , highly recommended (Department of Civil, Environmental and Geomatics Engineering)

Geographic Information Systems Certificate Program , highly recommended (Department of Geosciences)

Obtaining a minor or certificate will require completing credits beyond the 120 required for the B.S.G.E. in Geomatics Engineering. Contact the department offering the minor or certificate for more details.

Internships
Students are strongly encouraged to gain practical experience through participation in internship opportunities. However, internships may only substitute for one technical elective with prior approval from the department chair and only if taken for a grade.

Geomatics Engineering
Undergraduate Minor

(Minimum of 18 credits required)

Students minoring in Geomatics Engineering will complete a minimum of 18 credits with a grade of "C" or better in each course. Of the18 credits, a minimum of 15 must be earned at FAU. Selected courses must be checked for the proper requirements. The minor is available to all full-time FAU students pursuing a declared major.

Required Courses (3 credits)
Geomatics	SUR 3103	2
Geomatics Lab	SUR 3103L	1

 

Select additional courses from below for a minimum of 15 credits.
Digital Photogrammetry Principles and Applications (2)	SUR 4331C	3
Measurement Theory and Data Adjustments (2)	SUR 3520	3
Automated Surveying and Mapping (2)	SUR 3141	2
Automated Surveying and Mapping Lab (2)	SUR 3141L	1
Subdivision Design	SUR 4463	2
Land Subdivision and Platting Lab (2)	SUR 3463L	1
Engineering and Construction Surveying (3)	SUR 3205	2
Engineering and Construction Surveying Lab (3)	SUR 3205L	1
Geodesy and Geodetic Positioning (3)	SUR 4530	2
Geodesy and Geodetic Positioning Lab (3)	SUR 4530L	1
Cadastral Principles and Legal Aspects (2)	SUR 4403	3
Principles of Geographic Information System	GIS 4043C	3
Introduction to Laser Mapping Technology	CCE 4514C	3
Any other Surveying or Mapping Technical Elective as determined by the department		3

Notes:
(1) Requires knowledge of geometry and trigonometry.

(2) Requires SUR 3103/SUR 3103L, Geomatics and Lab, as prerequisites.

(3) Requires SUR 3103/SUR 3103L, Geomatics and Lab and introductory statistics, as prerequisites.

(4) Requires SUR 3141/SUR 3141L, Automated Surveying and Mapping with Lab, as prerequisites.

Surveying and Mapping 
Undergraduate Certificate

(Minimum of 12 credits required)

The Department of Civil, Environmental and Geomatics Engineering offers undergraduates a certificate in Surveying and Mapping. Students are entitled to the certificate by completing a minimum of 12 credits of coursework with a grade of "C" or better. Selected courses must be checked for the proper prerequisites. The certificate is open to both degree-seeking and non-degree-seeking students.

Required Courses (3 credits)
Geomatics (1)	SUR 3103	2
Geomatics Lab (1)	SUR 3103L	1

 

Select additional courses from below for a minimum of 9 credits.
Digital Photogrammetry Principles and Applications (2)	SUR 4331C	3
Automated Surveying and Mapping (2)	SUR 3141	2
Automated Surveying and Mapping Lab (2)	SUR 3141L	1
Geodesy and Geodetic Positioning (4)	SUR 4530	2
Geodesy and Geodetic Positioning Lab (4)	SUR 4530L	1
Measurement Theory and Data Adjustments (3)	SUR 3520	3
Engineering and Construction Surveying (4)	SUR 3205	2
Engineering and Construction Surveying Lab (4)	SUR 3205L	1
Cadastral Principles and Legal Aspects	SUR 4403	3
Thermal Infrared Remote Sensing and Applications	SUR 4384	3
Principles of Geographic Information System	GIS 4043C	3
Introduction to Laser Mapping Technology	CCE 4514C	3

Notes:
(1) Requires knowledge of geometry and trigonometry.

(2) Requires SUR 3103/SUR 3103L, Geomatics and Lab, as prerequisites.

(3) Requires SUR 3103/SUR 3103L, Geomatics and Lab and introductory statistics, as prerequisites.

(4) Requires SUR 3141/SUR 3141L, Automated Surveying and Mapping with Lab, as prerequisites.

Combined Programs

geomatics engineering to civil engineering
bachelor of science in geomatics engineering (b.s.g.e.) to master of science (m.s.)

This program allows Bachelor of Science in Geomatics Engineering (B.S.G.E.) students the opportunity to complete the Master of Science (M.S.) with Major in Civil Engineering in less time than the traditional M.S. program. This combined degree program is intended for academically talented students and high achievers. After application and admittance to the M.S. graduate program at the beginning of the senior year, up to 12 credits of approved graduate-level courses may be taken and counted toward both the B.S.G.E. and the M.S. with Major in Civil Engineering degrees as long as the following criteria are met:

1. The student has met the minimum of 120 credits for the B.S.G.E. degree, and
2. The student has taken a minimum of 30 credits (5000 level or higher) for the M.S. with Major in Civil Engineering.

The combined degree program is 150 credits, 120 for the undergraduate degree and 30 for the master's degree. Students complete the undergraduate degree first, taking no more than 12 credits of graduate coursework in their senior year, which will then be used to satisfy both degrees.

To be eligible for the joint B.S.G.E./M.S. program, students must:

1. Have a cumulative GPA of 3.25 or higher (FAU and transfer courses);
2. Have a total institution GPA of 3.25 or higher (FAU courses); and
3. Formally apply to the joint program, completing the admissions process at least one semester prior to beginning the M.S. portion of the program.

BIOLOGICAL AND PHYSICAL SCIENCES TO CIVIL, ENVIRONMENTAL OR GEOMATICS ENGINEERING TO CIVIL ENGINEERING
BACHELOR OF ARTS (B.A.) OR BACHELOR OF SCIENCE (B.S.) TO SECOND BACHELOR OF SCIENCE (B.S.) TO MASTER OF SCIENCE (M.S.)
COMBINED PROGRAM

Details for this combined degree program are listed in the Wilkes Honors College section.

Electrical Engineering and Computer Science

Faculty:
Zhuang, H., Chair; Kalva, H., Associate Chair; Aalo, V.; Agarwal, A.; Alhalabi, B. A.; Asghar, W.; Assis, R.; Azarderakhsh, R.; Bagby, J.; Batalama, S.; Bullard, L. A.; Cardei, I. E.; Cardei, M.; Cooper, R. B,; Emeritus; DeGiorgio, M.; Erdol, N.; Fernandez, E. B.; Furht, B.; Gazourian, M. G., Emeritus.; Ghoraani, B.; Groff, D.; Hallstrom, J.; Hsu, S. C., Emeritus; Huang, S.; Ilyas, M.; Khoshgoftaar, T. M.; Larrondo-Petrie, M.; Liu, F. H.; Mahgoub, I.; Marcovitz, A., Emeritus; Marques, O.; Messenger, R. A., Emeritus; Neelakanta, P.; Ni, Z.; Nojoumian, M.; Pados, D.; Pandya, A. S.; Pavlovic, M.; Peterson, V.; Raviv, D.; Rhodes, W., Emeritus; Roth, Z.; Shankar, R.; Sklivanitis, G.; Solomon, M. K., Emeritus; Sorgente, T.; Taebi, S.; Tang, Y.; Ungvichian, V., Emeritus; Wang, D.; Yang, K.; Zhong, X.; Zhu, X.; Zilouchian, A.

The Department of Electrical Engineering and Computer Science offers programs in Biomedical Engineering, Computer Engineering, Computer Science, Data Science and Analytics, and Electrical Engineering. Specifically, the department offers undergraduate programs of study leading to the degrees of Bachelor of Arts in Computer Science (B.A.C.S.), Bachelor of Science with major in Data Science and Analytics, Bachelor of Science in Computer Science (B.S.C.S.), Bachelor of Science in Computer Engineering (B.S.C.E.), and Bachelor of Science in Electrical Engineering (B.S.E.E.). Minors in Artificial Intelligence and Computer Science are also available, as well as a certificate in Artificial Intelligence. A Data Science certificate program, designed jointly by the departments of Electrical Engineering and Computer Science and Mathematics and Statistics, provides an in-depth study of the methods to manage, analyze and extract knowledge from data. A minor and certificate in Cybersecurity, designed jointly by the departments of Electrical Engineering and Computer Science, Information Technology and Operations Management in the College of Business and Mathematics and Statistics in the College of Science, offer three unique tracks, each focused on a particular area of cybersecurity.

In the graduate area, the department offers a Master of Science (M.S.) with major in Biomedical Engineering, Master of Science (M.S.) with major in Artificial Intelligence with thesis, Master of Science (M.S.) with major in Artificial Intelligence without thesis, Master of Science with major in Computer Engineering with thesis, Master of Science with major in Computer Engineering without thesis, Master of Science with major in Computer Science with thesis, Master of Science with major in Computer Science without thesis,  Master of Science with Major in Data Science and Analytics,  and Master of Science with major in Electrical Engineering. A certificate in Biomedical Engineering is also available, as well as a minor and certificate in Artificial Intelligence.

Prospective doctoral students may choose from a Doctor of Philosophy (Ph.D.) with major in Computer Engineering, Doctor of Philosophy (Ph.D.) with major in Computer Science and Doctor of Philosophy with major in Electrical Engineering (Ph.D.).

To encourage undergraduates to pursue a graduate education, the department offers a number of combined programs, including a B.S.C.E. to M.S. degree program in Computer Engineering, a B.S.C.S. to M.S. degree program in Computer Science, a B.S.E.E. to M.S. degree program, and a combined program leading to an M.S. in Biomedical Engineering that is offered to B.S. candidates in any College of Engineering and Computer Science major. These programs permit students to complete both a bachelor's and a master's degree within five years.

For students interested in combining the broad systems orientation provided in the Bachelor of Science in Electrical Engineering (B.S.E.E.) with focus in Computer Engineering, the department offers the five-year B.S.E.E./M.S.Cp.E. (Master of Science in Computer Engineering). Program details are listed in the Electrical Engineering section under Combined Programs.

Below, the Computer Science and Computer Engineering programs are described first, followed by the Electrical Engineering program and the Biomedical Engineering program.

Link to Biomedical Engineering Programs

Link to Electrical Engineering Programs

Link to Information Technology and Management Program

Cooperative Education Program
Cooperative Education is a unique educational program in which students integrate classroom study with a period of paid, supervised work experience related to their academic major. At FAU, the Co-Op program is a structured learning situation in which students apply concepts learned in the classroom to "real world" work environments. The program is available on an optional basis to all students in accordance with the description shown in the Student Services and Activities section of this catalog. Students in the College of Engineering and Computer Science must meet the following requirements:

1.  Students who wish to participate in the Co-Op program in the College of Engineering and Computer Science should contact the Division of Engineering Student Services and Advising (DESSA).
2. The College of Engineering and Computer Science Co-Op program operates on a part-time basis, 20 hours per week, no more, no less. In this program, the work is specifically tied to the student's field/major and must be secured through the FAU Career Center.
3.  The College of Engineering and Computer Science Co-Op program is geared primarily toward students who enter as freshmen, as opposed to transfer students. As a result, incoming freshmen cohorts receive primacy with respect to assignments. Specific major requirements are found in the College of Engineering and Computer Science Co-Op Program Manual.  
4.  The grade will be reported on the transcript as pass or fail.

To learn more about the Co-Op program students in the College of Engineering and Computer Science should contact the Career Development Center.

Computer Science and Computer Engineering

Mission Statement
The common mission of the Computer Science and Computer Engineering Programs is:

1. To produce graduates with a strong grasp of fundamentals of computer science and computer engineering, knowledge in technical specialty areas and an appreciation of the power of collaborative effort applied to problem solving.
   
2. To offer courses and programs that stimulate innovation and enhance the ability of graduates to achieve high levels of professional development and to succeed in a competitive marketplace.
   
3. To conduct research in selected areas and to integrate research results with teaching activities.
   
4. To provide service to the profession and community and forge strategic alliances with other professions.
   

Link to Artificial Intelligence Minor

Link to Computer Science Minor

Link to Artificial Intelligence Certificate

Link to Artificial Intelligence (AI) for Cybersecurity Certificate

Link to Cybersecurity Minor and Certificate

Link to Data Science Certificate

Link to Combined Programs

Link to Master's Programs

Link to Artificial Intelligence Graduate Certificate

Link to Big Data Analytics Graduate Certificate

Link to Cyber Security Graduate Certificate

Link to Doctoral Programs

Bachelor's Programs

Educational Objectives and Outcomes for the Bachelor's Programs
Computer Science
Graduates of the baccalaureate program in Computer Science are prepared for careers with software companies, developing applications or systems software, or with companies developing software in a scientific or engineering environment.

The degree focuses on the software aspects of computing by building on a set of core courses in areas such as algorithms, machine organization, programming language concepts, theory, computer systems and software engineering.

Based on the Educational Objectives of the College of Engineering and Computer Science, the department has established the following student learning outcomes for the baccalaureate program in Computer Science. Graduates of the program will have an ability to:

1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program's discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member of leader of a team engaged in activities appropriate to the program's discipline.
6. Apply computer science theory and software development fundamentals to produce computing-based solutions.

The Bachelor of Science degree program in Computer Science is accredited by the Computing Accreditation Commission of ABET.

Computer Engineering
Graduates of the baccalaureate program in Computer Engineering are prepared for careers in the computer industry as well as with companies that integrate computers into more complex products.

The degree focuses on the system and hardware aspects and the interaction of hardware with software by building on courses in microprocessors, computer design and design automation on the one hand, and on data structures and algorithms, operating systems and software engineering on the other.

Based on the Educational Objectives of the College of Engineering and Computer Science, the department has established the following student learning outcomes for the baccalaureate program in Computer Engineering. Graduates will have:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors.
3. An ability to communicate effectively with a range of audiences.
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts.
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

While undergraduate students make some use of University computing facilities, the department has its own facilities that are available for undergraduates and are used for assignments in many courses. A PC-based lab provides students with hands-on experience in logic design, peripheral interfacing and software design for microprocessors. Undergraduates use the department's network of UNIX and PC workstations for coursework in areas such as programming, software development using advanced tools, artificial intelligence, simulation and graphics.

The Bachelor of Science in Computer Engineering program is accredited by the Engineering Accreditation Commission of ABET.

Link to Bachelor of Science in Computer Engineering

Link to Bachelor of Science in Computer Science

Link to Bachelor of Science with Major in Data Science and Analytics

Computer Science
Bachelor of Arts in Computer Science (B.A.C.S.) 

(Minimum of 120 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

The Bachelor of Arts in Computer Science (B.A.C.S.) with Major in Computer Science is intended for students interested in software development. The program prepares students for a career in the field of Computer Science with focus on software development. The B.A. in Computer Science is accredited by the Southern Association of Colleges and Schools Commission on Colleges, but unlike FAU's B.S. in Computer Science, it is not accredited by the Engineering Accreditation Commission of ABET.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through an Associate in Arts (A.A.) degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not listed with the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The minimum number of credits required for the Bachelor of Arts in Computer Science (B.A.C.S.) degree is 120 credits. This degree will be awarded to students who satisfy all admission and degree requirements for the department.

Students entering FAU with fewer than 30 credits must satisfy the course requirements specified in the catalog section, Degree Requirements. Students entering FAU with more than 30 credits (transfer students) must see the undergraduate advisor for an evaluation of courses taken at another school. The general education requirements are satisfied normally if a student has an Associate in Arts (A.A.) degree from a Florida community or state college.

Students must complete 36 credits of  B.A.C.S.  courses and 21 credits of  Computer Science Electives  with a grade of "C" or better.

Pass/Fail Grades: Courses taken as pass/fail are not accepted for Computer Science students.

Specific Degree Requirements
General Education
Foundations of Written Communication	6
Foundations of Society and Human Behavior	6
Foundations of Global Citizenship	6
Foundations of Humanities	6
Foundations of Science and the Natural World	6
Subtotal	30

 

Mathematics
Methods of Calculus	MAC 2233	3
Introductory Statistics	STA 2023	3
Subtotal		6

 

B.A.C.S. Courses
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Science and Analytics	CAP 4773	3
Computer Logic Design	CDA 3203	3
Introduction to Software Design	CEN 3062C	3
Principles of Software Engineering	CEN 4010	3
Foundations of Cybersecurity	CNT 4403	3
Introduction to Programming in Python	COP 3035C	3
Data Structures and Algorithm Analysis with Python	COP 3410C	3
Introduction to Database Structures	COP 3540	3
Introduction to Web Programming	COP 3834	3
Foundations of Computing	COT 2000C	3
Design and Analysis of Algorithms	COT 4400	3
Subtotal		36

 

Computer Science Electives	21
Free Electives	27
Total	120

Computer Science Electives
All students must take 21 credits of approved elective courses. Certain 3000- and 4000-level courses offered by the Electrical Engineering and Computer Science Department may be used as Computer Science electives. Certain 5000- or 6000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as Computer Science electives. Students must see an advisor for a current list of elective courses. Students seeking a specialty may consider taking electives in areas of study such as internet technology, software engineering, artificial intelligence and machine learning, and cybersecurity.

Topics in Computer Science and Engineering	COT 4930	1-3
Topics in Computer Science	COT 5930	1-3

Students are permitted to take no more than the equivalent of one course (3 credits) of the following three courses as a Computer Science elective.

Professional Internship	IDS 3949	0-4
Directed Independent Study	COT 4900	1-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3

Professional Internship
Students must have completed COP 3410C, Data Structures and Algorithm Analysis with Python, with a minimum grade of "C"before becoming eligible to register for a professional internship. Approval through the Career Center is required prior to enrollment.

Directed Independent Study and Directed Independent Research 
Students must have completed COP 3410C, Data Structures and Algorithm Analysis with Python, with a minimum grade of "C" before becoming eligible to register for directed independent study or directed independent research. 

Second Bachelor's B.A.C.S. Degree

This program is for those individuals with a degree in another discipline who are seeking a Bachelor of Arts in Computer Science degree at FAU.

Admission Requirements
Students seeking a bachelor's degree or graduate degree in another discipline must satisfy all admission requirements of the first B.A.C.S. at FAU.

Degree Requirements
The minimum number of FAU credits needed to earn a second bachelor's degree (B.A.C.S.) is 30 credits at the 3000 level or higher.

1. Students must have completed 36 credits of core courses in the B.A.C.S. program. Each course must be completed with a minimum grade of "C."
   
2.  Students must have completed 6 credits of Computer Science electives. Each course must be completed with a minimum grade of "C."
   
3. Students must have completed the math prerequisites necessary to take the core and elective courses in the program.
   
   

Computer Science
Bachelor of Science in Computer Science (B.S.C.S.)

(Minimum of 120 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above in order to be accepted into the Computer Science program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not listed with the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements  
The minimum number of credits required for the Bachelor of Science in Computer Science (B.S.C.S.) degree is 120 credits. All courses that count toward the degree must be completed with a grade of "C" or better. This degree will be awarded to students who satisfy all admission and degree requirements for the department. Items below are referenced in the table following the list. This degree program is available in person and fully online.

1. Students entering FAU with fewer than 30 credits must satisfy the course requirements specified in the catalog section, Degree Requirements. Students entering FAU with more than 30 credits (transfer students) must see the undergraduate advisor for an evaluation of courses taken at another school. The general education requirements are satisfied normally if a student has an Associate in Arts (A.A.) degree from a Florida community or state college.
2. At least one course must have a laboratory component.

Pass/Fail Grades:  Courses taken as pass/fail are not accepted for Computer Science students.

Program Summary
General Education	24
Mathematics	11
Science	7
Common Core	27
Computer Science - Computer Engineering Core	15
Computer Science Core	12
Semi-Core Group 1	3
Semi-Core Group 2	3
Electives	18
Total	120

 

General Education
Foundations of Written Communication	6
Foundations of Society and Human Behavior	6
Foundations of Global Citizenship	6
Foundations of Humanities	6
Subtotal	24

 

Mathematics
Calculus with Analytic Geometry 1	MAC 2311	4
Calculus with Analytic Geometry 2	MAC 2312	4
Matrix Theory	MAS 2103	3
Subtotal		11

 

Science (Select two 3-credit courses and a lab or a 3-credit course and a 4-credit course)
Biological Principles	BSC 1010	3
Biological Principles Lab	BSC 1010L	1
General Chemistry 1	CHM 2045	3
General Chemistry 1 Lab	CHM 2045L	1
General Physics for Engineers 1	PHY 2048	3
General Physics Lab 1	PHY 2048L	1
Physics for Engineers 2	PHY 2044	3
General Physics Lab 2	PHY 2049L	1
Physical Geology/Evolution of the Earth	GLY 2010C	4
Subtotal		7

 

Core Courses  
All students must take the following core courses, which total 51 credits.

Common Core
Introduction to Data Science and Analytics	CAP 4773	3
Computer Logic Design	CDA 3203	3
Computer Architecture	CDA 4102	3
Introduction to Programming in Python	COP 3035C	3
Systems Programming with C++	COP 3275C	3
Foundations of Computing*	COT 2000C	3
RI: Engineering Design 1	EGN 4950C	3
RI: Engineering Design 2	EGN 4952C	3
Stochastic Models for Computer Science**	STA 4821	3
Subtotal		27

* MAD 2104 may be substituted for COT 2000C.
** EEE 4541 may be substituted for STA 4821. 

Computer Science - Computer Engineering Core
Introduction to Software Design	CEN 3062C	3
Principles of Software Engineering	CEN 4010	3
Communication Networks	CNT 4007	3
Data Structures and Algorithm Analysis	COP 3530C	3
Computer Operating Systems	COP 4610	3
Subtotal		15

 

Computer Science Core
Introduction to Database Structures	COP 3540	3
Principles of Programming Languages	COP 4020	3
Design and Analysis of Algorithms	COT 4400	3
Theory of Computation	COT 4420	3
Subtotal		12

Semi-Core Courses
All students must take 3 credits from each of the two Semi-Core groups for a total of 6 Semi-Core credits.

Computer Science Semi-Core Group 1 (Select one course)
Introduction to Deep Learning	CAP 4613	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Subtotal		3

 

Computer Science Semi-Core Group 2 (Select one course)
Applied Cryptography and Security	CIS 4634	3
Foundations of Cybersecurity	CNT 4403	3
Network and Data Security	CNT 4411	3
Subtotal		3

Electives  
All students must take 18 credits of approved elective courses. Certain 3000- and 4000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as Computer Science electives. Certain 5000- or 6000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as Computer Science electives. Students must see an advisor for a current list of approved elective courses.

Computer Science Electives

18

Students seeking a specialty may consider taking electives in areas of study, such as internet technology, software engineering, artificial intelligence and machine learning and cybersecurity. 

Students are permitted to take no more than the equivalent of one course (3 credits) of the following three courses as a Computer Science elective.

Directed Independent Study	COT 4900	1-3
Professional Internship	IDS 3949	0-4
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3

Professional Internship
Students must have completed COP 3530C, Data Structures and Algorithm Analysis, with a minimum grade of "C"before becoming eligible to register for a professional internship. Approval through the Career Center is required prior to enrollment.

Directed Independent Study and Directed Independent Research in Engineering and Computer Science
Students must have completed COP 3530C, Data Structures and Algorithm Analysis, with a minimum grade of "C" before becoming eligible to register for directed independent study or directed independent research. 

Students must make sure that they have the necessary minimum of 120 credits for graduation.

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science with Major in Computer Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Second Bachelor's B.S.C.S. Degree

This program is for those individuals with a degree in another discipline who are seeking a Bachelor of Science in Computer Science degree at FAU.

Admission Requirements
Students seeking a bachelor's degree or graduate degree in another discipline must satisfy all admission requirements of the first bachelor's degree in Computer Science at FAU.

Degree Requirements 

1. Earn a minimum of 30 credits in residence at FAU, at the 3000 level or higher, beyond those required for the first degree. Students earning two degrees simultaneously (a dual degree) must earn at least 150 credits.
2. Earn at least 75 percent of all upper-division credits required for the major from FAU.
   
3. Students must have completed at least 15 credits in mathematics including discrete mathematics with mathematical rigor at least equivalent to introductory calculus. Each course must be completed with a minimum grade of "C."
4. Students must have completed at least 6 credits (or equivalent) in natural science coursework intended for science and engineering majors. At least one course must have a laboratory component. Each course must be completed with a minimum grade of "C."
5. Students must complete 54 credits of core courses listed in the Computer Science degree program. Each course must be completed with a minimum grade of "C."
   
   

Computer Science
Undergraduate Minor

(Minimum of 15 credits required)

The minor in Computer Science is available to all FAU undergraduates who are not majoring in Computer Science or Computer Engineering. This minor requires completion of five courses (15 credits) with a minimum grade of "C." Students must ensure that they have completed the prerequisites for the selected courses.

Introduction to Software Design*	CEN 3062C	3
Data Structures and Algorithm Analysis with Python	COP 3410C	3
Select three upper-division courses from the Electives table.		9
Total**		15

 

Elective Courses***
Applied Machine Learning and Data Mining	CAP 4612	3
Introduction to Deep Learning	CAP 4613	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Introduction to Data Science and Analytics	CAP 4773	3
Principles of Software Engineering	CEN 4010	3
Introduction to Database Structures	COP 3540	3
Introduction to Web Programming	COP 3834	3
Systems Programming with C++	COP 3275C	3
Python Programming	COP 4045	3
Object-Oriented Design and Programming	COP 4331	3
Computer Operating Systems	COP 4610	3
Advanced Database Systems	COP 4703	3
Design and Analysis of Algorithms	COT 4400	3

* Requires prerequisite: COP 3035C with minimum grade of "C"
** At least 75 percent of credits earned must be from FAU.
*** See program advisor for a complete list of elective courses.

Acknowledgment of a minor in Computer Science is official upon successful completion of an FAU degree program.

Computer Engineering
Bachelor of Science in Computer Engineering (B.S.C.E.)

(Minimum of 123 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above in order to be accepted into the Computer Engineering program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides  and below.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

General Degree Requirements
The minimum number of credits required for the Bachelor of Science in Computer Engineering (B.S.C.E.) degree is 123 credits. All courses that count toward the degree must be completed with a grade of "C" or better. This degree will be awarded to students who meet all admission and degree requirements of the department and the University. Notes below are referred to in the tables following the list.

Notes: 
Students entering FAU with fewer than 30 credits must satisfy the course requirements specified in the catalog section, Degree Requirements. Students entering FAU with more than 30 credits (transfer students) must see the undergraduate advisor for an evaluation of courses taken at another school. The general education requirements are normally satisfied if a student has an Associate in Arts (A.A.) degree from a Florida community or state college.  Once students earn beyond 30 credits, they must substitute EGN 1002, Fundamentals of Engineering, with a computer engineering elective.

Program Summary
General Education	24
Mathematics	15
Science	9
Common Core	27
Computer Science - Computer Engineering Core	15
Computer Engineering - Electrical Engineering Core	18
Computer Engineering Core	3
Semi-Core Group	3
Electives	9
Total	123

 

General Education
Foundations of Written Communication	6
Foundations of Society and Human Behavior	6
Foundations of Global Citizenship	6
Foundations of Humanities	6
Subtotal	24

 

Mathematics
Calculus with Analytic Geometry 1	MAC 2311	4
Calculus with Analytic Geometry 2	MAC 2312	4
Calculus with Analytic Geometry 3	MAC 2313	4
Engineering Math 1	MAP 3305	3
Subtotal		15

 

Science
General Physics for Engineers 1	PHY 2048	4
General Physics Lab 1	PHY 2048L	1
Physics for Engineers 2	PHY 2044	3
General Physics Lab 2	PHY 2049L	1
Subtotal		9

Core Courses
All students must take the following core courses, which total 60 credits.

Common Core
Introduction to Data Science and Analytics	CAP 4773	3
Computer Logic Design	CDA 3203	3
Computer Architecture	CDA 4102	3
Introduction to Programming in Python	COP 3035C	3
Systems Programming with C++	COP 3275C	3
Foundations of Computing*	COT 2000C	3
Stochastic Processes and Random Signals**	EEE 4541	3
RI: Engineering Design 1	EGN 4950C	3
RI: Engineering Design 2	EGN 4952C	3
Subtotal		27

* MAD 2104 may be substituted for COT 2000C.
** STA 4821 may be substituted for EEE 4541.

Computer Science - Computer Engineering Core
Introduction to Software Design	CEN 3062C	3
Principles of Software Engineering	CEN 4010	3
Communication Networks	CNT 4007	3
Data Structures and Algorithm Analysis	COP 3530C	3
Computer Operating Systems	COP 4610	3
Subtotal		15

 

Computer Engineering - Electrical Engineering Core
Design of Digital Systems and Lab	CDA 4240C	3
Electronics 1	EEE 3300	3
Circuits 1	EEL 3111	3
Electronics Laboratory 1	EEL 3118L	3
Signals and Digital Filter Design	EEL 3502	3
Fundamentals of Engineering	EGN 1002	3
Subtotal		18

 

Computer Engineering Core
Introduction to Embedded System Design	CDA 4630	3
Subtotal		3

Semi-Core Courses
All students must take 3 credits from the Semi-Core Group.

Computer Engineering Semi-Core Group (Select one course)
Introduction to VLSI Design	CDA 4210	3
Hardware Security	CDA 4323	3
Electronics 2 and Lab	EEE 4361C	3
Subtotal		3

Electives  
All students must take 9 credits of approved elective courses. Certain 3000- and 4000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as Computer Engineering electives. Certain 5000- or 6000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as Computer Engineering electives. Students must see an advisor for a current list of approved elective courses.

Computer Engineering Electives

9

Students are permitted to take no more than the equivalent of one course (3 credits) of the following three courses as a Computer Engineering elective. 

Professional Internship	IDS 3949	0-4
Directed Independent Study	COT 4900	1-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3

Professional Internship
Students must have completed COP 3530C, Data Structures and Algorithm Analysis, with a minimum grade of "C" before becoming eligible to register for a professional internship. Approval through the Career Center is required prior to enrollment.

Directed Independent Study and Directed Independent Research
Students must have completed COP 3530C, Data Structures and Algorithm Analysis, with a minimum grade of "C" before becoming eligible to register for directed independent study or directed independent research. 

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science in Computer Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Second Bachelor's B.S.C.E. Degree

This program is for those individuals with a degree in another discipline who are seeking a Bachelor of Science in Computer Engineering degree at FAU.

Admission Requirements
Students seeking a bachelor's degree or graduate degree in another discipline must satisfy all admission requirements of the first bachelor's degree in Computer Engineering at FAU.

Degree Requirements

1.  Earn a minimum of 30 credits in residence at FAU, at the 3000 level or higher, beyond those required for the first degree. Students earning two degrees simultaneously (a dual degree) must earn at least 150 credits.
   
2. Earn at least 75 percent of all upper-division credits required for the major from FAU.
   
3.  Students must have completed at least 15 credits in mathematics, 9 credits in science and 63 credits in core courses listed in the Computer Engineering degree program. Each course must be completed with a minimum grade of "C."

Undergraduate Transfer Students
Prior to the academic advising session, course syllabi need to be submitted to the Undergraduate Academic Advisor for evaluation of possible transfer credits. Course descriptions can be provided by submitting an undergraduate catalog from the post-secondary institution attended, submitting course descriptions from an online catalog (requires that the post-secondary institution web address be at the bottom of each page), or providing course syllabi. The Academic Advisor evaluation needs to be performed even if a student has an evaluation by an approved agency.

Data Science and Analytics
Bachelor of Science (B.S.)

Data Science in Business Concentration
Data Science and Engineering Concentration
Data Science in the Natural Sciences Concentration

The Bachelor of Science with Major in Data Science and Analytics (BSDSA) program is a multi-college, interdisciplinary program administered jointly by the Department of Mathematics and Statistics in the Charles E. Schmidt College of Science, the Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science, the Department of Information Technology and Operations Management (ITOM) in the College of Business, the Department of Political Science in the Dorothy F. Schmidt College of Arts and Letters and the School of Criminology and Criminal Justice in the College of Social Work and Criminal Justice. For details about this this program, see the Interdisciplinary Programs section of this catalog.

Artificial Intelligence
Undergraduate Minor

(Minimum of 15 credits required)

The minor in Artificial Intelligence (AI) is open to all undergraduate students at Florida Atlantic University. The minor is awarded upon graduation from an undergraduate program at FAU; it is not awarded independently of any degree program. Requirements for the minor include completion of five courses (15 credits) with a minimum grade of “C.” This minor requires five courses that have not been counted in any other minor or certificate program within the College of Engineering and Computer Science.

The minor has two tracks: an Applications track and a Development track. The Applications track is open to students with no prior programming experience, but who are interested in learning programming and how to use the tools and algorithms of AI. The Development track is intended for students proficient in programming who will develop new algorithms and mechanisms in AI. Students in both tracks are expected to have completed a statistics course.

Students must ensure that they have the prerequisites for the selected courses. Students cannot apply for both the Minor in AI and the Certificate in AI.

Applications Track - 15 credits (Not open to undergraduate students in the Department of Electrical Engineering and Computer Science.)
Core Courses - 9 credits
Computer Programming and Data Literacy for Everyone	COP 1031C	3  or
Introduction to Programming in Python	COP 3035	3
Applications of Artificial Intelligence	CAP 2603	3
Applied Machine Learning and Data Mining	CAP 4612	3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Development Track - 15 credits
Core Courses - 9 credits
Data Structures and Algorithm Analysis with Python	COP 3410	3  or
Data Structures and Algorithm Analysis	COP 3530	3
Introduction to Artificial Intelligence	CAP 4630	3
One of the following three courses
Introduction to Deep Learning	CAP 4613	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Introduction to Data Science and Analytics	CAP 4773	3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Electives Table - Additional courses may be used as electives with prior approval from advisor
Tools for Data Science	CAP 2751	3
Introduction to Deep Learning	CAP 4613	3
Trustworthy Artificial Intelligence	CAP 4623	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Introduction to Data Science and Analytics	CAP 4773	3
Artificial Intelligence for Social Good	CCJ 3071	3
Special Topics (i.e., Robotic Applications)	EEL 4930	3

Artificial Intelligence
Undergraduate Certificate

(Minimum of 15 credits required)

Over the past years, there has been dramatic progress in the rise of Artificial Intelligence (AI) and its use in the development of systems that can reason and respond to increasingly complex situations. AI is everywhere, and the changes enabled by this technology have just begun. AI is transforming every segment of American industry. It is making agriculture more precise and efficient, revealing new medical technologies, and bringing the prospect of autonomous transportation and advanced manufacturing closer to reality. To become competitive, companies and corporations will have to embrace AI to some extent. These technological innovations are made possible by engineers and scientists with knowledge and expertise in the latest advancements in the field of AI. This 15-credit certificate provides students with knowledge and skills in the concepts, technologies and applications of artificial intelligence.

Admissions
The program is open to students with any background. Students are expected to satisfy the prerequisite courses required for each course in the certificate curriculum. All five courses must be completed with a minimum grade of "C.” This certificate requires five course that have not been counted in any other minor or certificate within the College of Engineering and Computer Science.

Curriculum
The certificate has two tracks: an Applications track and a Development track. The Applications track is open to students with no prior programming experience, but who are interested in learning programming and how to use the tools and algorithms of AI. The Development track is intended for students proficient in programming who will develop new algorithms and mechanisms in AI. Students in both tracks are expected to have completed a statistics course.

Applications Track - 15 credits (Not open to undergraduate students in the Department of Electrical Engineering and Computer Science.)
Core Courses - 9 credits
Computer Programming and Data Literacy for Everyone	COP 1031C	3  or
Introduction to Programming in Python	COP 3035	3
Applications of Artificial Intelligence	CAP 2603	3
Tools for Data Science	CAP 2751	3  or
Applied Machine Learning and Data Mining	CAP 4612	3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Development Track - 15 credits
Core Courses - 9 credits
Data Structures and Algorithm Analysis with Python	COP 3410	3  or
Data Structures and Algorithm Analysis	COP 3530	3
Introduction to Artificial Intelligence	CAP 4630	3
One of the following three courses
Introduction to Deep Learning	CAP 4613	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Introduction to Data Science and Analytics	CAP 4773	3
Elective Courses - 6 credits - Select two courses from the Electives Table

 

Electives Table - Additional courses may be used as electives with prior approval from advisor
Tools for Data Science	CAP 2751	3
Introduction to Deep Learning	CAP 4613	3
Trustworthy Artificial Intelligence	CAP 4623	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Introduction to Data Science and Analytics	CAP 4773	3
Artificial Intelligence for Social Good	CCJ 3071	3
Special Topics (i.e., Robotic Applications)	EEL 4930	3

 

Artificial Intelligence (AI) for Cybersecurity
Undergraduate Certificate

(Minimum of 12 credits required)

Introduction
Cybersecurity involves studying methods, tools, mathematical principles and operational practices to safeguard the integrity of information, systems, and networks. Artificial Intelligence, leveraging its capacity to process extensive datasets, detect patterns, and dynamically respond to emerging threats in real-time, emerges as an indispensable tool for enhancing the security of information infrastructures, system functionalities, network architectures and cryptographic protocols.

This program aims to equip students with knowledge and tools that leverage AI technologies to develop more robust and efficient cybersecurity solutions, allowing for proactive identification and response to cyber threats.

The program has two tracks, one offered by the Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science. The other one is offered by the Department of Mathematics and Statistics in the College of Science.

Computer Science Track
The Department of Electrical Engineering and Computer Science offers the AI for Cybersecurity Certificate with a track in Computer Science (CS). This 12-credit certificate program allows students to expand their knowledge and skills to meet the needs of the cybersecurity field in the AI era. The certificate is available to degree- seeking students, non-degree students and working professionals.

The CS track certificate will be granted to a student who completes four 3-credit courses as follows: two core courses, one 3-credit course from the cybersecurity elective list and one 3-credit course from the AI elective course list.

Admission
Open to students who satisfy the prerequisites required for each course in the program with the grade C or better. All four courses in the certificate must be completed with the grade C or better. All course materials are in English.

Required Core Courses
Artificial Intelligence for Cybersecurity	CAI 4802	3
Foundations of Cybersecurity	CNT 4403	3
Cybersecurity Elective Courses. Select one from the approved course list. Additional courses may be used as substitutions with prior approval of the department.
Trustworthy Artificial Intelligence	CAP 4623	3
Introduction to Cryptographic Engineering	CDA 4321	3
Applied Cryptography and Security	CIS 4634	3
Network and Data Security	CNT 4411	3
Artificial Intelligence Elective Courses. Select one from the approved course list. Additional courses may be used as substitutions with prior approval of the department.
Introduction to Deep Learning	CAP 4613	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3

Mathematics Track
The Department of Mathematics and Statistics offers the AI for Cybersecurity Certificate with a track in Mathematics (Math). This 12-credit certificate program allows students to expand their knowledge and skills to meet the needs of the cybersecurity field in the AI era. The certificate is available to degree-seeking students, non-degree students and working professionals.

The Math track certificate will be granted to a student who completes four 3-credit courses as follows: one core course in AI, one core course in cryptography, and two 3-credit courses from the elective list.

Admission
Open to students who satisfy the prerequisites required for each course in the program with the grade C or better. All four courses in the certificate must be completed with the grade C or better. All course materials are in English.

Required Cryptography Course
Cryptography and Information Security	CIS 4362	3
Required Artificial Intelligence Course
Artificial Intelligence for Cybersecurity	CAI 4802	3
Choose two Elective Courses
Introduction to Data Science and Analytics	CAP 4773	3
Introducton to Data Science	CAP 5768	3
Post-Quantum Cryptography	MAD 4475	3
Cryptography of Blockchain	MAD 4776	3
Introduction to Coding Theory	MAD 4605	3
Mathematics for Cybersecurity	MAP 4190	3
Mathematics for Cryptography	MAS 4206	3
Computational Statistics	STA 3100	3
Probability and Statistics for Engineers	STA 4032	3 or
Probability and Statistics 1	STA 4442	3

Cybersecurity
Undergraduate Minor
Undergraduate Certificate

(Minimum of 12 credits required)

Cybersecurity is the study of methods to ensure information and system security. Industry and government need an educated workforce to serve as information and systems security analysts, security and network administrators and more. Due their extensive expertise and facilities, the departments of Information Technology and Operations Management (in the College of Business), Electrical Engineering and Computer Science (In the College of Engineering and Computer Science) and Mathematics and Statistics (in the College of Science) have jointly designed the Cybersecurity Minor and Certificate. Three tracks, each requiring 12 credits, constitute the minor and certificate: Information Technology (IT), Computer Science (CS) and Mathematical Sciences (MS). Details for this certificate program can be found in the Interdisciplinary Programs section of this catalog.

Data Science
Undergraduate Certificate

(Minimum of 15 credits required)

Data Science is the study of methods to manage, analyze and extract knowledge from data. Industry and government need an educated workforce with the necessary expertise to make use of the enormous volumes of data available to them. Due to their extensive expertise and facilities, the departments of Mathematics and Statistics and Electrical Engineering and Computer Science have jointly designed the Data Science certificate. This 15-credit certificate program has two tracks: Mathematical Sciences (MathSci) and Computer Science and Analytics (CS). The Data Science certificate draws the 15 credits from Computer Science, Mathematics and Statistics. Details for this certificate program can be found in the Interdisciplinary Programs section of this catalog.

Combined Programs

Computer Engineering
Bachelor of Science in Computer Engineering (B.S.C.E.) to Master of Science (M.S.)
Combined Program

Computer Science
Bachelor of Science in Computer Science (B.S.C.S.) to Master of Science (M.S.)
Combined Program

The department offers a combined Bachelor of Science in Computer Engineering (B.S.C.E.) to Master of Science (M.S.) program. In the computer science area, it offers a combined Bachelor of Science in Computer Science (B.S.C.S.) to Master of Science (M.S.) degree program. The bachelor's degrees and the master's degrees must be in the same area. Students in either combined program may count up to 12 credits of approved graduate coursework (5000 level or higher) toward both their bachelor's and master's degrees as long as the combined program totals a minimum of 150 credits:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

With an approximate duration of five years, these combined programs provide attractive ways for students to continue their graduate work. Students complete the undergraduate program first.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Admission Requirements
To be eligible for the joint programs, computer science and computer engineering students should:

1.  Have a cumulative GPA of 3.25 or better at the end of their junior year; and
2. Formally apply to one of the joint programs, completing the admissions process at least one semester prior to the beginning of the M.S. portion of their program.

Once admitted to the program of their choice, students begin taking graduate courses (5000 level or higher) in their senior year that would apply to both the bachelor's and master's degree programs. Students in the joint programs must maintain continuous enrollment to remain in good standing. Students must also meet all the degree requirements of the graduate program they have chosen, including core courses and prerequisites. Those students who complete the M.S. degree program within one year after completing their B.S.C.E. or B.S.C.S. degree program will be presented with a certificate of recognition.

Computer Engineering to Artificial Intelligence
Bachelor of Science in Computer Engineering (B.S.C.E.) to Master of Science (M.S.)
Combined Program

Computer Science to Artificial Intelligence
Bachelor of Science in Computer Science (B.S.C.S.) to Master of Science (M.S.)
Combined Program

The department offers a combined Bachelor of Science in Computer Engineering (B.S.C.E.) or Bachelor of Science in Computer Science (B.S.C.S.) to Master of Science in Artificial Intelligence (M.S.A.I.) program. Students in either combined program may count up to 12 credits of approved graduate coursework (5000 level or higher) toward both their bachelor's and master's degrees as long as the combined program totals a minimum of 150 credits:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2.  The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

With an approximate duration of five years, these combined programs provide attractive ways for students to continue their graduate work. Students complete the undergraduate program first.

Prerequisite coursework for transfer students and admission requirements for these combined programs are the same as for the B.S.C.E or B.S.C.S. to M.S. degree programs noted above. 

Electrical Engineering to Artificial Intelligence
Bachelor of Science in Electrical Engineering (B.S.E.E.) to Master of Science (M.S.) 
Combined Program

Electrical Engineering to Computer Engineering
Bachelor of Science in Electrical Engineering (B.S.E.E.) to Master of Science (M.S.) 
Combined Program

The department offers a Bachelor of Science in Electrical Engineering/Master of Science in Artificial Intelligence degree program and a Bachelor of Science in Electrical Engineering/Master of Science in Computer Engineering degree program. Program details are listed in the Electrical Engineering section under Combined Programs.

Biological and Physical Sciences to any of the master's programs in Electrical Engineering and Computer Science 
Bachelor of Arts (B.A.) or Bachelor of Science (B.S.) to Master of Science (M.S.)
Combined Programs

The B.A. or B.S. degree is completed at the Wilkes Honors College (WHC), and students then receive their bachelor's degree from WHC. Students complete their master's degree work in one of seven majors in the Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science (COECS) and receive their master's degree from COECS.

These combined programs are offered in partnership with the Wilkes Honors College:

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Artificial Intelligence

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Biomedical Engineering

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Computer Engineering

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Computer Science

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Electrical Engineering

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Information Technology and Management with Advanced Information Technology Concentration

B.A. or B.S. with Major in Biological and Physical Sciences to M.S. with Major in Information Technology and Management with Computer Science Data Analytics Concentration

Details for each combined program are listed in the Wilkes Honors College section.

Computer Engineering to Information Technology and Management 
Bachelor of Science in Computer Engineering (B.S.C.E.) to Master of Science (M.S.)
Combined Program

Advanced Information Technology Concentration (M.S.)
Computer Science Data Analytics Concentration (M.S.)

Computer Science to Information Technology and Management
Bachelor of Arts in Computer Science (B.A.C.S.) or Bachelor of Science
in Computer Science (B.S.C.S.) to Master of Science (M.S.)
Combined Program

Advanced Information Technology Concentration (M.S.)
Computer Science Data Analytics Concentration (M.S.)

Electrical Engineering to Information Technology and Management
Bachelor of Science in Electrical Engineering (B.S.E.E.) to Master of Science (M.S.)
Combined Program

Advanced Information Technology Concentration (M.S.)
Computer Science Data Analytics Concentration (M.S.)

The department of Electrical Engineering and Computer Science offers a combined B.A.C.S. or B.S.C.S. in Computer Science or B.S.C.E. in Computer Engineering or B.S.E.E. in Electrical Engineering to M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations degree program.

Students may count up to 12 credits of approved graduate coursework (5000 level or higher) toward both their bachelor's and master's degrees, see Table below. These graduate courses replace the technical elective courses in the bachelor's program. The proposed combined program does not increase the number of credits in the undergraduate degree.

All combined programs total a minimum of 150 credits as detailed:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

Graduate courses to be counted toward both the bachelor's and master's degree programs. Alternative courses may be used with prior approval of the graduate advisor.
M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations
Introduction to Data Science	CAP 5768	3
Information Retrieval	CAP 6776	3
Software Engineering	CEN 5035	3
Theory and Implementation of Database Systems	COP 6731	3

These combined programs provides an attractive way for students to continue their graduate work. Students complete the undergraduate program first. The combined program can be completed in approximately five years.

Admission Requirements
The GRE is not required for this combined program. To be eligible for the combined program, baccalaureate students should:

1. Have a cumulative FAU GPA of 3.25 or better at the end of their junior year. Note that the cumulative FAU GPA of at least 3.25 must be maintained  until the completion of the bachelor's degree.
2. Formally apply to the combined program, completing the admissions process at least one semester prior to the beginning of the master's portion of their program.

Students in the combined program must maintain continuous enrollment to remain in good standing.

Degree Requirements
To be eligible for the combined bachelor to master program, students must fulfill the following requirements:

1. Complete all of the requirements for the B.A.C.S. or B.S.C.S. in Computer Science or the B.S.C.E. in Computer Engineering or the B.S.E.E. in Electrical Engineering and other requirements stipulated by the University and College
2. Complete all of the requirements for the M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations, with either the thesis or non-thesis option.

Data Science and Analytics
Bachelor of Science (B.S.) to Master of Science (M.S.)
Combined Program

Data Science and Engineering Concentration (B.S.)

Data Science and Analytics to Artificial Intelligence
Bachelor of Science (B.S.) to Master of Science (M.S.)
Combined Program

Data Science and Engineering Concentration (B.S.)

Data Science and Analytics to
Information Technology and Management
Bachelor of Science (B.S.) to Master of Science (M.S.)
Combined Program

Data Science and Engineering Concentration (B.S.)
Advanced Information Technology Concentration (M.S.)
Computer Science Data Analytics Concentration (M.S.)

The department of Electrical Engineering and Computer  Science offers a combined B.S. in Data Science and Analytics: Data Science and Engineering concentration to M.S. in Artificial Intelligence or M.S. in  Data Science and Analytics: Data Science and Engineering concentration or M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations degree program.

Students may count up to 12 credits of approved graduate coursework (5000 level or higher) toward both their bachelor's and master's degrees, see Table below. These graduate courses replace the general elective courses in the bachelor's program. The proposed combined program does not increase the number of credits in the undergraduate degree.

All combined programs total a minimum of 150 credits as detailed:

1.  The student has met the minimum 120 credits for the bachelor's degree; and
2.  The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

Graduate courses to be counted toward both the bachelor's and master's degree programs. Alternative courses may be used with prior approval of the graduate advisor.
M.S. in Artificial Intelligence
Computational Foundations of Artificial Intelligence	CAP 5625	3
Introduction to Data Science	CAP 5768	3
Data Mining and Machine Learning	CAP 6673	3
Information Retrieval	CAP 6776	3
M.S. in Data Science and Analytics: Data Science and Engineering concentration
Introduction to Neural Networks	CAP 5615	3
Introduction to Data Science	CAP 5768	3
Data Mining and Machine Learning	CAP 6673	3
Information Retrieval	CAP 6776	3
M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations
Introduction to Data Science	CAP 5768	3
Information Retrieval	CAP 6776	3
Software Engineering	CEN 5035	3
Theory and Implementation of Database Systems	COP 6731	3

These combined programs provide an attractive way for students to continue their graduate work. Students complete the undergraduate program first. The combined program can be completed in approximately five years.

Admission Requirements
The GRE is not required for this combined program. To be eligible for the combined program, baccalaureate students should:

1. Have a cumulative FAU GPA of 3.25 or better at the end of their junior year. Note that the cumulative FAU GPA of at least 3.25 must be maintained  until the completion of the bachelor's degree.
2. Formally apply to the combined program, completing the admissions process at least one semester prior to the beginning of the master's portion of their program.

Students in the combined program must maintain continuous enrollment to remain in good standing.

Degree Requirements
To be eligible for the combined bachelor to master program, students must fulfill the following requirements:

1. Complete all of the requirements for the B.S. in Data Science and Analytics: Data Science and Engineering concentration program and other requirements stipulated by the University and College
2. Complete all of the requirements for the M.S. in Artificial Intelligence  program, on either the thesis or non-thesis option, or complete requirements for the M.S. in Data Science and Analytics: Data Science and Engineering concentration  or complete requirements for the M.S. in Information Technology and Management: Advanced Information Technology or Computer Science Data Analytics concentrations.
   
   

Nursing to Artificial Intelligence
Bachelor of Science in Nursing (B.S.N.) to Master of Science (M.S.)
Combined Program

Nursing to Biomedical Engineering
Bachelor of Science in Nursing (B.S.N.) to Master of Science (M.S.)
Combined Program

The Christine E. Lynn College of Nursing and the College of Engineering and Computer Science (COECS) offer a combined Bachelor of Science in Nursing (B.S.N.) and Master of Science (M.S.) with Major in Artificial Intelligence or Biomedical Engineering degree program.

The B.S.N. degree program is completed and received from the Christine E. Lynn College of Nursing. Students then complete the M.S. in Artificial Intelligence or Biomedical Engineering in the Department of Electrical Engineering and Computer Science and receive the M.S. degree from the COECS. Details can be found in the Christine E. Lynn College of Nursing section of this catalog.

Computer Engineering
Bachelor of Science in Computer Engineering (B.S.C.E.) to Doctor of Philosophy (PH.D.)
Combined Program 

The Department of Electrical Engineering and Computer Science offers a combined Bachelor of Science in Computer Engineering (B.S.C.E.) to Ph.D. with major in Computer Engineering degree program.

Students may count up to 12 credits of graduate coursework (5000 level or higher) offered by the EECS Department toward both their B.S.C.E. and Ph.D. degrees. These graduate courses will replace elective and semi-core courses in the bachelor’s program. The program does not increase the number of credits in the undergraduate degree.

The combined program totals a minimum of 195 credits, provided that :

1. The student has met the minimum 123 credits for the bachelor's degree; and
2. The student has taken a minimum of 72 credits in 5000 level or higher courses for the Ph.D. program.

This combined program provides an attractive way for students to continue their graduate work. Students complete the undergraduate program first.

Admission Requirements
The GRE requirement is waived for this combined program.

1. To be eligible to apply for the combined program, students must have a cumulative FAU GPA of 3.5 or better at the end of their junior year. Note that the cumulative FAU GPA of at least 3.5 must be maintained until the completion of the bachelor's degree. 
2. Formally apply to the combined program after the junior year (90 credits or more of coursework completed). The application must include one reference letter. 
3. Must be admitted into the combined program at least one semester prior to the beginning of the Ph.D. portion of the program.

Students in the combined program must maintain continuous enrollment to remain in good standing.

Degree Requirements
To be eligible for the combined bachelor to Ph.D. program, students must fulfill the following requirements:

1. Completion of the requirements for the B.S.C.E. program and other requirements stipulated by the University and College.
2. Completion of all requirements for the Ph.D. in with major in Computer Engineering degree program.

Computer Science
Bachelor of Science in Computer Science (B.S.C.S.) to Doctor of Philosophy (Ph.D.)
Combined Program

The Department of Electrical Engineering and Computer Science offers a combined Bachelor of Science in Computer Science (B.S.C.S.) to Ph.D. with major in Computer Science degree program.

Students may count up to 12 credits of graduate coursework (5000 level or higher) offered by the EECS Department toward both their B.S.C.S. and Ph.D. degrees. These graduate courses will replace elective courses in the bachelor’s program. The program does not increase the number of credits in the undergraduate degree.

The combined program totals a minimum of 192 credits, provided that:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 72 credits in 5000 level or higher courses for the Ph.D. program.

This combined program provides an attractive way for students to continue their graduate work. Students complete the undergraduate program first.

Admission Requirements
The GRE requirement is waived for this combined program.

1. To be eligible to apply for the combined program, students must have a cumulative FAU GPA of 3.5 or better at the end of their junior year. Note that the cumulative FAU GPA of at least 3.5 must be maintained until the completion of the bachelor's degree. 
2.  Formally apply to the combined program after the junior year (90 credits or more of coursework completed). The application must include one reference letter. 
3.  Must be admitted into the combined program at least one semester prior to the beginning of the Ph.D. portion of the program.

Students in the combined program must maintain continuous enrollment to remain in good standing.

Degree Requirements
To be eligible for the combined bachelor to Ph.D. program, students must fulfill the following requirements:

1.  Completion of the requirements for the B.S.C.S. program and other requirements stipulated by the University and College.
2. Completion of all requirements for the Ph.D. with major in Computer Science degree program.

Master's Programs

Link to Master of Science with Major in Artificial Intelligence

Link to Professional Master of Science with Major in Artificial Intelligence

Link to Artificial Intelligence Minor

Link to Master of Science with Major in Computer Engineering

Link to Master of Science with Major in Computer Science

Link to Professional Master of Science with Major in Computer Science

Link to Internet Engineering Graduate Specialty

Link to Software Engineering Graduate Specialty

Link to Master of Science with Major in Computer Science with Focus in Internet and Web Technologies

Link to Master of Science with Major in Computer Science or Computer Engineering with a Business Minor

Link to Master of Science with Major in Data Science and Analytics

Link to Master of Science with Major in Information Technology and Management

Link to Professional Master of Science with Major in Information Technology and Management

Link to Graduate Certificates

Artificial Intelligence
Master of Science (M.S.)

The Master of Science (M.S.) with Major in Artificial Intelligence provides a comprehensive curriculum, consisting of foundation and theory of artificial intelligence and elements of computer vision, data analytics and algorithms, knowledge management and reasoning, machine learning and applications. Both thesis and non-thesis options of the M.S. in Artificial Intelligence require a minimum of 30 credits. The thesis option consists of a minimum of 24 coursework credits and 6 thesis credits.

With approval of the advisor, substitution can sometimes be made among similar courses. See the Department of Electrical and Computer Science website for updates.

Admission Requirements
Applicants for admission to the master's program are approved by the University upon the recommendation of the department. All applicants must submit with their applications the official transcripts from previous institutions attended. Applications for admission are evaluated on an individual basis. At a minimum, applicants are expected to meet the following requirements.

1. Have obtained a bachelor's degree from an accredited institution. Students are expected to have taken Calculus 1 or Methods of Calculus and a statistics course, to be proficient in programming, and to be knowledgeable in data structures and algorithm analysis. Students can gain this knowledge through undergraduate classes or learn it through work experience. The admissions committee will evaluate the application holistically to determine applicant suitability using several factors, such as academic performance, GPA, background and experience. The admission committee may assign remedial courses on a case-by-case basis. In some cases, prerequisite courses may be taken after admission to the graduate program.
2. At least a 3.0 (of a 4.0 maximum) GPA in the last 60 credits attempted prior to graduation; and
3. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).

Submission of Plan of Study
Students are required to submit a Plan of Study when they have completed between 9 and 15 credits of coursework with a minimum cumulative GPA of 3.0. All courses must be approved by the student's advisor. A student may not
register for thesis credits prior to submitting a Plan of Study.

Degree Requirements
The M.S. in Artificial Intelligence program offers both thesis and non-thesis options. Both options require a minimum of 30 credits, as specified in the table.

Students must satisfy all of the University graduate requirements. In addition, the following requirements must be met. The coursework credits must satisfy the following constraints:

1. No more than 3 credits of directed independent study may be taken.
2. No course can be counted toward the degree that is more than 10 years old at the time the degree is awarded.
3. At least one-half of the credits must be at the 6000 level or above.
4. The student must have a GPA of 3.0 (out of 4.0) or better.
5. All courses in the degree program must be completed with a grade of "C" or better.

Transfer Credits
Any transfer credits toward the requirements for an M.S. in Artificial Intelligence must be approved by the department, the College and the University. The transfer credits must correspond to equivalent requirements and performance levels expected for the degree. Normally no more than 6 credits of coursework (that have not been applied to a degree) can be transferred from another institution.

Core Courses (6 credits) Students in both thesis and non-thesis options complete the Core Courses.  Select two courses from the following three courses.
Computational Foundations of Artificial Intelligence	CAP 5625
Artificial Intelligence	CAP 6635
Data Mining and Machine Learning	CAP 6673
Thesis Option (30 credits)
Master's Thesis - Artificial Intelligence (may be taken over multiple terms)	CAP 6974	6
In addition to the Core Courses and the Thesis credits, students complete six elective courses (18 credits) with the following constraints: Two AI electives. Minimum of 3 credits of 6000-level courses and maximum of 3 credits of Directed Independent Study, COT 6900 or COT 6905.
Non-Thesis Option (30 credits)
In addition to the Core Courses, students complete eight elective courses (24 credits) with the following constraints: Four AI electives. Minimum of 9 credits of 6000-level courses and maximum of 3 credits of Directed Independent Study, COT 6900 or COT 6905.
AI Electives Select 12 credits for Non-Thesis option and 6 credits for Thesis option.
Computer Vision
Foundations of Vision	CAP 6411
Computer Vision	CAP 6415
Machine Learning for Computer Vision	CAP 6618
Visual Information Retrieval	COP 6728
Data Analytics and Algorithms
Computational Foundations of Artificial Intelligence	CAP 5625
Introduction to Data Science	CAP 5768
Social Networks and Big Data Analytics	CAP 6315
Data Mining for Bioinformatics	CAP 6546
Artificial Intelligence	CAP 6635
Computer Performance Modeling	CEN 6405
Analysis of Algorithms	COT 6405
Randomized Algorithms	COT 6446
Knowledge Management and Reasoning
Natural Language Processing	CAP 6640
Information Retrieval	CAP 6776
Web Mining	CAP 6777
Semantic Web Programming	COP 5859
Machine Learning
Introduction to Neural Networks	CAP 5615
Evolutionary Computing	CAP 6512
Sparse Learning	CAP 6617
Deep Learning	CAP 6619
Reinforcement Learning	CAP 6629
Data Mining and Machine Learning	CAP 6673
Advanced Data Mining and Machine Learning	CAP 6778
Applications
Artificial Intelligence in Medicine and Healthcare	CAP 6683
Computational Advertising and Real-Time Data Analytics	CAP 6807
Robotic Applications	EEL 5661
EECS Electives:  Select four courses from the graduate courses offered by the EECS department. Course substitution is allowed with the prior approval of the advisor.

 

Artificial Intelligence
Master of Science (M.S.)
Professional Program

(For this degree program, the GRE admission requirement is waived through and including fall 2023.)

The Professional Master of Science with major in Artificial Intelligence is a new self-supporting program designed for working professionals. It allows professionals to advance their careers with an accelerated graduate program and obtain an advanced degree while continuing to work. The course offering format includes evenings, weekends and online material. The program requires 30 credits. Admissions requirements are the same as specified above for the M.S. in Artificial Intelligence, and degree requirements are the same as noted above for the non-thesis option. To apply or for more information, visit the Electrical Engineering and Computer Science website or call 561-297-3855.

Artificial Intelligence
Graduate Minor

(Minimum of 12 credits required)

The minor in Artificial Intelligence (AI) is open to all graduate students at Florida Atlantic University (FAU) who are not majoring in AI. The minor is awarded upon graduation from a graduate program at FAU; it is awarded in conjunction with graduate degrees.

Requirements for the minor include completion of four graduate-level courses with a minimum grade of "B." These four courses cannot be counted toward any other minor or certificate.

The minor has two tracks: Development and Applications. The Development track is intended for students proficient in programming and who will develop new algorithms and mechanisms in AI. The Applications track is open to students who have introductory programming skills and are interested in learning how to use the tools and algorithms of AI. Students in both tracks should have completed a statistics course.

Students must ensure that they have the necessary prerequisites for the selected courses. Students cannot apply for both the minor in AI and the certificate in AI.

Development Track (12 credits)
Required courses (6 credits); select two courses from the following
Computational Foundations of Artificial Intelligence	CAP 5625	3
Artificial Intelligence	CAP 6635	3
Data Mining and Machine Learning	CAP 6673	3
Elective courses (6 credits); select two courses from the Elective Table
Applications Track (12 credits) (Not open to graduate students in the  Department of  Electrical Engineering and Computer Science , except for students in the M.S. with Major in Information Technology and Management (MSITM))
Required courses (6 credits); select two courses from the following
Computational Foundations of Artificial Intelligence	CAP 5625	3
Applied Machine Learning	CAP 6610	3
Data Mining and Machine Learning	CAP 6673	3
Elective courses (6 credits); select two courses from the Elective Table

 

Elective Table Select two courses from this list. Additional courses may be used as electives with prior approval from the advisor.
Applications
Artificial Intelligence in Medicine and Healthcare	CAP 6683	3
Computational Advertising and Real-Time Data Analytics	CAP 6807	3
Robotic Applications	EEL 5661	3
Industrial Automation	EIN 5603C	3
Intelligent Underwater Vehicles	EOC 6663	3
Intelligent Transportation Systems	TTE 6272	3
Data Analytics and Algorithms
Introduction to Data Science	CAP 5768	3
Social Networks and Big Data Analytics	CAP 6315	3
Data Mining for Bioinformatics	CAP 6546	3
Computer Performance Modeling	CEN 6405	3
Design and Analysis for Engineering Data	CGN 5716	3
Knowledge Management and Reasoning
Natural Language Processing	CAP 6640	3
Information Retrieval	CAP 6776	3
Web Mining	CAP 6777	3
Semantic Web Programming	COP 5859	3
Machine/Deep Learning
Introduction to Neural Networks	CAP 5615	3
Evolutionary Computing	CAP 6512	3
Sparse Learning	CAP 6617	3
Deep Learning	CAP 6619	3
Reinforcement Learning	CAP 6629	3
Advanced Data Mining and Machine Learning	CAP 6778	3
Vision
Foundation of Vision	CAP 6411	3
Computer Vision	CAP 6415	3
Machine Learning for Computer Vision	CAP 6618	3
Vision Information Retrieval	COP 6728	3

 

Computer Engineering
Master of Science (M.S.)

The non-thesis option for this degree requires a minimum of 30 credits. The thesis option requires a minimum of 30 credits, including 6 credits of thesis.

Admission Requirements
Applications for admission to the master's program are approved by the University upon the recommendation of the department. All applicants must submit with their applications the official transcripts from previous institutions attended. Applications for admission are evaluated on an individual basis. As a minimum, applicants are expected to meet the following requirements.

1. Students are expected to have a bachelor's degree in engineering or a related field. Applicants with different backgrounds are expected to have taken Calculus 2 and a statistics course, to be proficient in programming, and to be knowledgeable in the topics of microprocessor systems, computer architecture or CAD-based computer design, electronics or VLSI, data structures and algorithm analysis. The admission committee will evaluate the application holistically to determine the applicant's suitability using several factors, such as academic performance, GPA, background and experience. The admission committee may assign remedial courses on a case-by-case basis. In some cases, prerequisite courses may be taken after admission to the graduate program;
2. At least a 3.0 (of a 4.0 maximum) GPA in the last 60 credits attempted prior to graduation; and
3. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).

Submission of Plan of Study
Students are required to submit a Plan of Study when they have completed between 9 and 15 credits of coursework with a minimum cumulative GPA of 3.0. All courses must be approved by the student's advisor. A student may not register for thesis credits prior to submitting a Plan of Study.

Degree Requirements
Students must satisfy all of the University graduate requirements. In addition, the following specific degree requirements apply, depending on the choice of degree programs.

Thesis Option (30 credits)

1. Requires 6 credits of orally defended written thesis. The M.S. committee is chaired by the student's thesis advisor. The chair of the committee must be a graduate faculty member from the Department of Electrical Engineering and Computer Science.
2. Requires 24 credits of approved coursework with the following constraints:
   1. A minimum of 3 credits from computer architecture and design (graduate course prefix CDA), a minimum of 3 credits from software and programming (graduate course prefix COP or CEN) and a minimum of 3 credits from systems and applications (graduate course prefix CAP, CIS, CNT or EEL).
   2. A minimum of 12 credits in Computer Engineering, Computer Science and Electrical Engineering courses.
   3. No more than 3 credits of directed independent study may be taken
   4. No course can be counted toward the degree that is more than 10 years old at the time the degree is awarded.
   5. No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree.
3. At least one-half of the credits must be at the 6000 level or above.
4. Must have a GPA of 3.0 (out of 4.0) or better.
5. All courses in the degree program must be completed with a grade of "C" or better.
6. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Non-Thesis Option (30 credits)

1.  Requires 30 credits of approved coursework with the following constraints:
   1. A minimum of 3 credits from computer architecture and design (graduate course prefix CDA), a minimum of 3 credits from software and programming (graduate course prefix COP or CEN) and a minimum of 3 credits from systems and applications (graduate course prefix CAP, CIS, CNT or EEL).
   2. A minimum of 18 credits in Computer Engineering, Computer Science and Electrical Engineering courses.
   3. No more than 3 credits of directed independent study may be taken.
   4. No course can be counted toward the degree that is more than 10 years old at the time the degree is awarded.
   5. No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree.
2. At least one-half of the credits must be at the 6000 level or above.
3. Must have a GPA of 3.0 (out of 4.0) or better.
4. All courses in the degree program must be completed with a grade of "C" or better.
5. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Transfer Credits
Any transfer credits toward the requirements for a master's degree in Computer Engineering must be approved by the department, the College and the University. The transfer credits must correspond to equivalent requirements and performance levels expected for the degree. Normally, no more than 6 credits of coursework (that have not been applied to a degree) can be transferred from another institution.

Computer Science
Master of Science (M.S.)

The non-thesis option for this degree requires a minimum of 30 credits. The thesis option requires a minimum of 30 credits, including 6 credits of thesis.

Admission Requirements
Applicants for admission to the master's program are approved by the University upon the recommendation of the department. All applicants must submit with their applications the official transcripts from previous institutions attended. Applications for admission are evaluated on an individual basis. As a minimum, applicants are expected to meet the following requirements. Students with non-engineering bachelor's degrees, click here for additional requirements.

1. Students are expected to have a bachelor's degree in computer science or a related field. Applicants with different backgrounds are encouraged to apply. Students are expected to have taken Calculus 2 and a statistics course, to be proficient in programming, and to be knowledgeable in the topics of data structures and algorithm design and analysis, operating systems and computer architecture. The admission committee will evaluate the application holistically to determine the applicant's suitability using several factors, such as academic performance, GPA, background and experience. The admission committee may assign remedial courses on a case-by-case basis. In some cases, prerequisite courses may be taken after admission to the graduate program; 
2. At least a 3.0 (of a 4.0 minimum) GPA in the last 60 credits attempted prior to graduation; and
3. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).

Submission of Plan of Study
Students are required to submit a Plan of Study when they have completed between 9 and 15 credits of coursework with a minimum cumulative GPA of 3.0. All courses must be approved by the student's advisor. A student may not register for thesis credits prior to submitting a Plan of Study.

Degree Requirements
Students must satisfy all of the University graduate requirements. In addition, the following specific degree requirements apply, depending on the choice of degree programs.

Thesis Option (30 credits)

1. Requires 6 credits of orally defended written thesis. The M.S. committee is chaired by the student's thesis advisor. The chair of the committee must be a graduate faculty member from the Department of Electrical Engineering and Computer Science.
2. Requires 24 credits of approved coursework with the following constraints:
   1. A minimum of 3 credits from theory and algorithm (graduate course prefix COT), a minimum of 3 credits from software and programming (graduate course prefix COP or CEN) and a minimum of 3 credits from systems and applications (graduate course prefix CAP, CIS, CNT or CDA). Special Topics courses (COT 5930, COT 6930, CEN 5931, CEN 6930) and directed independent study courses (COT 6900, COT 6905) may be counted only with prior approval of the advisor.
   2. A minimum of 12 credits in Computer Science and Engineering courses.
   3. No more than 3 credits of directed independent study may be taken.
   4. No course can be counted toward the degree that is more than 10 years old at the time the degree is awarded.
   5. No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree.
3. At least one-half of the credits must be at the 6000 level or above.
4. Must have a GPA of 3.0 (out of 4.0) or better.
5. All courses in the degree program must be completed with a grade of "C" or better.
6. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Non-Thesis Option (30 credits)

1. Requires 30 credits of approved coursework with the following constraints:
   1. A minimum of 3 credits from theory and algorithm (graduate course prefix COT), a minimum of 3 credits from software and programming (graduate course prefix COP or CEN) and a minimum of 3 credits from systems and applications (graduate course prefix CAP, CIS, CNT or CDA). Special Topics courses (COT 5930, COT 6930, CEN 5931, CEN 6930) and directed independent study courses (COT 6900, COT 6905) may be counted only with prior approval of the advisor.
   2.  A minimum of 18 credits in Computer Science and Engineering courses.
   3. No more than 3 credits of directed independent study may be taken.
   4. No course can be counted toward the degree that is more than 10 years old at the time the degree is awarded.
   5. No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree.
2.  At least one-half of the credits must be at the 6000 level or above.
3. Must have a GPA of 3.0 (out of 4.0) or better.
4. All courses in the degree program must be completed with a grade of "C" or better.
5. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Transfer Credits
Any transfer credits toward the requirements for a master's degree in Computer Science must be approved by the department, the College and the University. The transfer credits must correspond to equivalent requirements and performance levels expected for the degree. Normally no more than 6 credits of coursework (that have not been applied to a degree) can be transferred from another institution.

Computer Science
Master of Science (M.S.)
Professional Program

The M.S. in Computer Science Professional Program is designed specifically for working professionals. Professionals will be able to advance their careers with an accelerated graduate program and obtain an advanced degree while continuing to work in their professional careers. The course offering format includes evenings, weekends and online material using Canvas. This degree requires 30 graduate credits. The duration of each course is four weeks. Students will be able to complete the program in one year. Only the non-thesis option is available.

Admission Requirements
To qualify for unconditional or full acceptance into the M.S. in Computer Science Professional Program, applicants are required to meet all the admission requirements for the M.S. with major in Computer Science program.

Conditional admission may be available under extraordinary circumstances for applicants who show high promise to successfully complete the program and who have received a master's degree from a regionally accredited institution, but who fall short of the GPA and/or the GRE requirement. In these cases, the admissions committee for the Professional M.S. in Computer Science will review the application carefully and consider all aspects including, but not limited to, grade trends, mature work experience, work accomplishment and promotion, type and rigor of undergraduate and master's degree programs, references and letters of recommendation.

Degree Requirements
Degree requirements are the same as specified for the non-thesis option for the M.S. degree in Computer Science noted above. Students in the Professional M.S. degree in Computer Science program are exempt from the requirement to complete one semester of CGS 5937, Graduate Seminar (0 credits). 

Program Fees
The M.S. in Computer Science Professional Program is a full-service, all-inclusive program. The fees cover all program costs including tuition, course materials and graduation activities. To view our full cost of attendance information page, visit https://www.fau.edu/finaid/other/cost-of-attendance/. 

Application Process and More Information
To apply or receive more information about this program, visit the Electrical Engineering and Computer Science website or call 561-297-3855.

Internet Engineering Graduate Specialty
An Option in Computer Science or Computer Engineering

Prerequisites
Same as for master's degree in Computer Science or master's degree in Computer Engineering.

Degree Requirements for Non-Thesis Option
Requires a minimum of 30 credits as follows:

1. Same requirements as specified in degree requirements for non-thesis option for master's degree with major in Computer Engineering or master's degree with major in Computer Science;
2. At least four elective courses (12 credits) selected from a group of Internet-based courses that include (a) Internet software, (b) Internet networking and (c) Internet technologies, as specified by academic advisor.

Degree Requirements for Thesis Option
Requires a minimum of 30 credits as follows:

1. Same requirements as specified in degree requirements for non-thesis option for master's degree with major in Computer Engineering or master's degree with major in Computer Science;
2. At least three elective courses (9 credits) selected from a group of Internet-based courses that include (a) Internet software, (b) Internet networking and (c) Internet technologies, as specified by academic advisor;
3. A minimum of 6 credits of thesis work.

Software Engineering Graduate Specialty
An Option in Computer Science

Prerequisites
Same as non-thesis programs plus:

Principles of Software Engineering (CEN 4010)
Introduction to Object-Oriented Design and Programming (COP 4331)

Students who have not had COP 4331 may take COP 5339 to satisfy this requirement.

Group 1 Fundamentals
Courses in this group emphasize general fundamentals of software engineering. Included in this group are courses in object-oriented methods, software testing and requirements engineering.

Group 2 Development
Courses in this group address specific issues and techniques more closely related to actual software development. Included in this group are courses in user-interface design, CASE, formal methods and advanced object-oriented topics.

Group 3 Quantitative and Experimental
Courses in this group deal with quantitative and experimental approaches. Included in this group are courses in the areas of reliability, metrics and modeling.

For specific course numbers that belong to the above three groups, consult an advisor in the department.

Thesis option students must take at least six of the above software engineering courses, two from each group.

Non-thesis-option students must take at least eight of the above software engineering courses, at least two from each group. Appropriate special topics courses may also be used to meet these requirements with approval of the student's advisor.

Other Electives
Thesis option students: Two other 5000-level or 6000-level Computer Science and Computer Engineering courses and 6 credits of COT 6970 (Thesis). No 4000-level course is counted toward the degree.

Non-thesis-option students: Three other 5000-level or 6000-level Computer Science and Computer Engineering courses.

All students must complete at least one-half of their credits at the 6000 level.

Internet and Web Technologies Focus
An Option in Computer Science 

This M.S. program is designed specifically for working professionals. Students attend formal classes for two Saturdays per month for 11 months. The remaining instruction is delivered through the latest distance-learning technologies, including FAU's Canvas system.

The program requires the 11 FAU courses below, totaling 33 credits categorized as software, networking and applications. Special review modules can be arranged for students who lack the required prerequisites. Admission requirements and prerequisites are the same as for the master's degree with major in Computer Science.

Multimedia Systems	CAP 6010
Data Mining and Machine Learning	CAP 6673
Computer Networks	CNT 5008
Mobile Computing	CNT 6517
Computer Data Security	CIS 6370
Theory and Implementation of Database Systems	COP 6731
Wireless Networks	EEL 6591
Social Networks and Big Data Analytics	CAP 6315
Queueing Theory	MAP 6264
Topics in Computer Science (Topics include Web Services, Web Project Development, Network Programming)	COT 5930
Topics in Computer Science (Topics include Advanced Internet Engineering, Ad Hoc Networks, Video Communications)	COT 6930

For fees and other details, contact the department at 561-297-3855 or visit the Electrical Engineering and Computer Science website.

Computer Science or Computer Engineering
Master of Science (M.S.) with a Business Minor

Those students electing to receive a minor in Business must complete 36 credits, of which 21 are to be from the Computer Science and Engineering courses described in this section of the catalog and 15 are to be from the courses approved by the College of Business for the Business minor. Such students will have to satisfy the prerequisite and core requirements of the appropriate degree program of the department. In addition, students should also satisfy the University requirements for graduate programs. For more information, students should consult their faculty advisor.

Artificial Intelligence
Master of Science (M.S.) with a Business Minor

Those students electing to receive a minor in Business must complete 36 credits, of which 21 are to be from the Artificial Intelligence courses described in this section of the catalog and 15 are to be from the courses approved by the College of Business for the Business minor. Such students will have to satisfy the prerequisite and core requirements of the appropriate degree program of the department. In addition, students should also satisfy the University requirements for graduate programs. For more information, students should consult their faculty advisor.

Biomedical Engineering
Master of Science (M.S.) with a Business Minor

Those students electing to receive a minor in Business must complete 36 credits, of which 21 are to be from the Biomedical Engineering courses described in this section of the catalog and 15 are to be from the courses approved by the College of Business for the Business minor. Such students will have to satisfy the prerequisite and core requirements of the appropriate degree program of the department. In addition, students should also satisfy the University requirements for graduate programs. For more information, students should consult their faculty advisor.

Data Science and Analytics
Master of Science (M.S.)

Data Science via Scientific Inquiry Concentration
Data Science and Engineering Concentration
Data Science in Business Concentration
Data Science in Society Concentration

(For this degree program, the GRE admission requirement is waived through and including fall 2023.)

The Master of Science with Major in Data Science and Analytics (MSDSA) is a multi-college interdisciplinary program jointly administered by the Department of Mathematics and Statistics in the Charles E. Schmidt College of Science, the Department of Electrical Engineering and Computer Science in the College of Engineering and Computer Science, the Department of Information Technology and Operations Management (ITOM) in the College of Business and the Department of Political Science in the Dorothy F. Schmidt College of Arts and Letters. The program aims to prepare students with essential skill sets needed to analyze small, fast, big, massive and complex data. To allow for maximum flexibility in career aspirations, students may select from four concentrations:

• Data Science via Scientific Inquiry Concentration, Department of Mathematics and Statistics.
• Data Science and Engineering Concentration, Department of Electrical Engineering and Computer Science.
• Data Science in Business Concentration, Department of Information Technology and Operations Management.
• Data Science in Society Concentration, Department of Political Science.

For more information about the Master of Science with Major in Data Science and Analytics degree program, see the Interdisciplinary Programs section of this catalog.

Information Technology and Management
Master of Science (M.S.)

The Master of Science with Major in Information Technology and Management (MSITM) is jointly offered by the Department of  Electrical Engineering and Computer Science  in the College of Engineering and Computer Science and the Department of Information Technology and Operations Management (ITOM) in the College of Business. Designed for highly motivated individuals with computing and/or managerial backgrounds, the program aims to prepare students for a management career in the area of information technology in organizations. To allow for maximum flexibility in career aspirations, students can select from five concentrations: Advanced Information Technology, Business Analytics, Computer Science Data Analytics, Cybersecurity, and Information Technology Management . Details of this program can be found in the Interdisciplinary Programs section of this catalog.

Information Technology and Management
Master of Science (M.S.)
Professional Program

Details for the Professional Master of Science with Major in Information Technology and Management are also described in the Interdisciplinary Programs section of the catalog.

The Electrical Engineering and Computer Science department offers several certificate programs. Each certificate requires at least four courses (12 credits), which cannot be counted in any other certificate program in the College of Engineering and Computer Science.

Artificial Intelligence
Graduate Certificate

(Minimum of 12 credits required)

Over the past years, there has been dramatic progress in the rise of artificial intelligence (AI) and its use in the development of systems that can reason and respond to increasingly complex situations. AI is everywhere and the changes enabled by this technology have just begun. AI is transforming every segment of American industry. It is making agriculture more precise and efficient, revealing new medical technologies and bringing the prospect of autonomous transportation and advanced manufacturing closer to reality. To become competitive, companies and corporations will have to embrace AI to some extent. These technological innovations are made possible by engineers and scientists with knowledge and expertise in the latest advancements in the field of AI. This 12-credit certificate provides graduate students with knowledge and skills in the concepts, technologies and applications of artificial intelligence.

Admissions
This certificate program is open to students with a bachelor's degree in any academic area and who are not majoring in Artificial Intelligence. Students must satisfy the prerequisites for each course in the program. The average GPA of all four courses counted in the program must be 3.0 or better.This certificate requires four courses that have not been counted in any other minor or certificate program within the College of Engineering and Computer Science.

Curriculum
The certificate has two tracks: a Development track and an Applications track. The Development track is intended for students proficient in programming who will develop new algorithms and mechanisms in artificial intelligence. The Applications track is open to students who have introductory programming skills and are interested in learning how to use the tools and algorithms of artificial intelligence. Students in both tracks are expected to have completed a statistics course.

Development Track (12 credits)
Required courses (6 credits); select two courses from the following
Computational Foundations of Artificial Intelligence	CAP 5625	3
Artificial Intelligence	CAP 6635	3
Data Mining and Machine Learning	CAP 6673	3
Elective courses (6 credits); select two courses from the Elective Table
Applications Track (12 credits) (Not open to graduate students in the  Department of Electrical Engineering and Computer Science, except for students in the M.S. with Major in Information Technology and Management (MSITM))
Required courses (6 credits); select two courses from the following
Computational Foundations of Artificial Intelligence	CAP 5625	3
Applied Machine Learning	CAP 6610	3
Data Mining and Machine Learning	CAP 6673	3
Elective courses (6 credits); select two courses from the Elective Table

Elective Table
Select two courses from the list below. Additional courses may be used as electives with prior approval of the advisor.

Introduction to Neural Networks	CAP 5615	3
Introduction to Data Science	CAP 5768	3
Data Mining for Bioinformatics	CAP 6546	3
Sparse Learning	CAP 6617	3
Machine Learning for Computer Vision	CAP 6618	3
Deep Learning	CAP 6619	3
Natural Language Processing	CAP 6640
Reinforcement Learning	CAP 6629	3
Artificial Intelligence in Medicine and Healthcare	CAP 6683	3
Advanced Data Mining and Machine Learning	CAP 6778	3
Computer Performance Modeling	CEN 6405	3
Robotic Applications	EEL 5661	3
Industrial Automation	EIN 5603C	3
Intelligent Underwater Vehicles	EOC 6663	3
Design and Analysis for Engineering Data	CGN 5716	3
Intelligent Transportation Systems	TTE 6272	3

Artificial Intelligence
Graduate Certificate
Professional Program

(Minimum of 12 credits required)

The Professional Artificial Intelligence certificate is designed for working professionals to advance their careers with an accelerated graduate program. This is a stand-alone certificate tailored for working professionals and alumni with graduate degrees who are looking for specialized knowledge in Artificial Intelligence. The course offering format includes evenings, weekends and online material. The 12-credit certificate has two tracks: a Development track and an Applications track. Admission details and details for the two tracks are shown above. To apply or for more information, visit the Electrical Engineering and Computer Science website or call 561-297-3855.

Big Data Analytics 
Graduate Certificate

(Minimum of 12 credits required)

The digital age is here to stay. Organizations now own and have access to unfathomable amounts of data. New technologies and efforts are needed to move on to the next phase of the digital revolution - the data revolution. To provide students with the knowledge necessary in this age of Big Data, the Department of Electrical Engineering and Computer Science and the Department of Information Technology and Operations Management (ITOM) have jointly designed the Big Data Analytics graduate certificate. This 12-credit certificate allows graduate students to expand their knowledge and skills in the concepts, technologies, and tools of business intelligence, data analytics and business analytics and be recognized for their achievement. The certificate program has two tracks: Computer Science (CS) and Business (BU). Details for both tracks can be found in the Interdisciplinary Programs section of this catalog.

Big Data Analytics 
Graduate Certificate
Professional Program

(Minimum of 12 credits required)

Details for the Professional Big Data Analytics Graduate Certificate are also described in the Interdisciplinary Programs section of the catalog.

Cyber Security
Graduate Certificate

(Minimum of 12 credits required)

Cybercrime-related issues especially impact the State of Florida because a significant part of the state's economic development comes from tourism, international banking and high-tech industries. The number of scientists, engineers and experts needed with special skills in cyber security exceeds the number available. The Cyber Security certificate provides opportunities for graduate students to expand their knowledge and skills to meet the needs of the cyber security field. Due to their extensive expertise and facilities, the departments of Electrical Engineering and Computer Science and Mathematics and Statistics have jointly designed the certificate. This 12-credit certificate program has two tracks: Computer Science (CS) and Mathematics (Math). Details for both tracks can be found in the Interdisciplinary Programs section of this catalog.

Doctoral Programs

Computer Engineering or Computer Science
Doctor of Philosophy (Ph.D.)

The department offers a program of advanced graduate study leading to a Doctor of Philosophy degree in Computer Engineering and a Doctor of Philosophy degree in Computer Science. Graduates of these programs will be able to meet the highest standards of preparation for leadership in the computer science or engineering profession, including research, teaching and leadership in high-technology industry and governmental agencies. A Ph.D. Applicant's Guide is available from the department. These degree programs are available in person and fully online.

The Ph.D. in Computer Science program also offers concentrations in Data Science and Analytics and in Cybersecurity. Admission and Degree Requirements are detailed below. Both concentrations are available in person and fully online.

For working professionals seeking to advance their careers, the department offers a Professional Doctor of Philosophy with Major in Computer Science.

Admission Requirements
Application for admission to doctoral study will be evaluated on an individual basis by the department's graduate programs committee. Usually, the following four criteria must be met:

1. The applicant must submit the Graduate Record Examination (GRE) score and must have a GPA of at least 3.3 (out of 4.0 maximum) in previous graduate work. GRE scores more than five years old are normally not acceptable. The GRE requirement is waived for any student who has an M.S. degree from FAU's Department of Electrical Engineering and Computer Science.
2. The applicant must have a master's degree in Engineering, Computer Science or a related discipline awarded by a recognized institution. Thesis option is preferred. This requirement may be waived under exceptional circumstances (see B.S. to Ph.D. programs earlier in the College of Engineering and Computer Science section of the catalog).
   1. Applicants to the Ph.D. with Major in Computer Science program are expected to have taken Calculus 2 and a statistics course, to be proficient in programming, and to be knowledgeable in the topics of data structures, algorithm design and analysis, operating systems and computer architecture. The admission committee will evaluate the application holistically to determine applicant suitability using several factors such as academic performance, GPA, GRE scores, background and experience. The admission committee may assign remedial courses on a case-by-case basis. In some cases, prerequisite requirements may be satisfied after admission to the Ph.D. program. In such a case, proficiency in the prerequisite courses must be shown before the student takes dissertation credits.
   2. Applicants to the Ph.D. with Major in Computer Engineering program are expected to have taken Calculus 2 and a statistics course, to be proficient in programming, and to be knowledgeable in the topics of microprocessor systems, computer architecture or CAD-based computer design, electronics or VLSI, data structures and algorithm analysis. The admission committee will evaluate the application holistically to determine applicant suitability using several factors such as academic performance, GPA, GRE scores, background and experience. The admission committee may assign remedial courses on a case-by-case basis. In some cases, prerequisite requirements may be satisfied after admission to the Ph.D. program. In such a case, proficiency in the prerequisite courses must be shown before the student takes dissertation credits.
3. The applicant must provide two reference letters that address the student's research potential, motivation, relative academic achievement and personality.
4. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).

Candidacy 
The candidacy exam is an exam intended to assess whether or not a student is ready to conduct research at the doctoral level and is able to publish in international conferences and journals. The exam must be passed for formal admission into the doctoral program. Students seeking the Ph.D. degree are expected to take the exam after completing 9 credits of their doctoral studies. A student failing the candidacy exam may, upon re-application, take it a second time. Two failures will normally result in the student's dismissal from the Ph.D. program. Specific instructions for applying and taking the Candidacy Examination are detailed on the EECS website.

Admission to Candidacy

Students should apply for candidacy as soon as they become eligible. To be eligible, a student must:

1. Have passed the Candidacy Exam, and
2. Have maintained a minimum of 3.0 GPA in all courses attempted as a doctoral student.

Students may not register for dissertation credits until their admission to candidacy.

Degree Requirements
A minimum of 72 graduate credits is required beyond a bachelor's degree. A master's degree in a related field is considered equivalent to 30 credits. A minimum of 18 credits of coursework is required beyond a master's degree. All courses must be approved by the student's advisor. Students lacking proper background may have to take additional courses to make up for the deficiencies. In addition to meeting the course requirement, a doctoral student must pass the Candidacy Examination, complete the dissertation under the supervision of the student's advisor and dissertation committee and pass the oral dissertation examination. Also a written dissertation proposal must be accepted by the dissertation committee at least six months prior to the oral dissertation examination. A doctoral candidate is expected to have at least one research paper published or accepted for publication in a fully refereed conference or journal prior to graduation. The following rules apply to the courses taken (beyond the master's degree):

1. Of the 18 credit minimum of coursework, a minimum of 12 credits must be in Computer Science and Engineering courses (excluding directed independent study credits) and a minimum of 9 credits of 6000-level courses must be completed.
2. No more than 3 credits of directed independent study or advanced research may be used to satisfy the minimum of 18 credits. In that case, the subject matter may not overlap the student's dissertation. 
3. A course that is more than 10 years old at the time the degree is awarded cannot be counted toward the degree. This rule does not apply to the courses transferred from the master's degree.
4. No 4000-level course may be counted toward the degree. Courses taken to make up for deficiencies will not be counted toward the degree.
5. Students must register for a minimum of 24 credits of dissertation.
6. Students must have a GPA of 3.0 (out of 4.0 maximum) or better.
7. All courses in the degree programs must be completed with a grade of "C" or better.
8. Must complete two semesters of CGS 5937, Graduate Seminar (0 credits) with grades of Satisfactory ("S").
   
   

Graduate Coursework -  18  credits  (for students entering with a master's degree)
Minimum of 12 credits from Computer Science and Computer Engineering courses at the 5000, 6000 or 7000 levels (excluding DIS). Minimum of 9 credits at the 6000 level. Maximum of 3 credits of Directed Independent Study or Advanced Research.
Directed Independent Study-Computer Science	COT 6900 or
Directed Independent Study-Computer Engineering	COT 6905 or
Advanced Research	EGN 69 18
Dissertation - 24 credits
Dissertation - Computer Science (taken over multiple terms)	COT 7980  or
Dissertation - Computer Engineering (taken over multiple terms)	ECM 7980
For students entering with a bachelor's degree, see B.S. to Ph.D. programs earlier in this College of Engineering and Computer Science section.

Computer Science
Doctor of Philosophy (Ph.D.)

Cybersecurity Concentration
Data Science and Analytics Concentration

Cybersecurity Concentration
Students in the Ph.D. with Major in Computer Science have the option of pursuing a concentration in Cybersecurity. See below for details. This major and concentration are available in person and fully online.

Admission Requirements
Applicants should meet all the admission requirements for the Ph.D. with Major in Computer Science program.

Degree Requirements
Applicants should meet all the degree requirements for the Ph.D. with Major in Computer Science program. In addition, the following requirements should be met.

1. Graduate coursework counted for the Ph.D. program must contain at least three graduate courses from the table below. These courses focus on theoretical and/or applied cybersecurity. Additional courses may be approved by the dissertation advisor. Graduate courses completed during the master's degree program may also be used to meet this requirement.
2. The student's Ph.D. dissertation research and scholarship must have a strong emphasis on one or more areas of cybersecurity, including but not limited to, applied and/or theoretical areas.
   

Cryptographic Engineering	CDA 5326	3
Practical Aspects of Modern Cryptography	CIS 5371	3
Computer Data Security	CIS 6370	3
Distributed Systems Security	CIS 6375	3
Cryptocurrencies and Blockchain Technologies	CIS 6730	3
Secret Sharing Protocols	COT 6427	3
Data Analysis and Modeling for Cybersecurity	CAI 6803	3
Introduction to Cryptology and Information Security	MAD 5474

Data Science and Analytics Concentration
Students in the Ph.D. with Major in Computer Science have the option of pursuing a concentration in Data Science and Analytics. See below for details. This major and concentration are available in person and fully online.

Admission Requirements
Applicants should meet all the admission requirements for the Ph.D. with Major in Computer Science program.

Degree Requirements
Applicants should meet all the degree requirements for the Ph.D. with Major in Computer Science program. In addition, the following requirements should be met.

1. Graduate coursework counted for the Ph.D. program must contain at least four graduate courses from the table below. These courses focus on theoretical and/or applied data science and analytics. Additional courses may be approved by the dissertation advisor. Graduate courses completed during the master's degree program may also be used to meet this requirement.
2. The student's Ph.D. dissertation research and scholarship must have a strong emphasis on one or more areas of data science and analytics or, including but not limited to, applied and/or theoretical areas.

Introduction to Neural Networks	CAP 5615	3
Introduction to Data Science	CAP 5768	3
Social Networks and Big Data Analytics	CAP 6315	3
Data Mining for Bioinformatics	CAP 6546	3
Sparse Learning	CAP 6617	3
Machine Learning for Computer Vision	CAP 6618	3
Deep Learning	CAP 6619	3
Artificial Intelligence	CAP 6635	3
Natural Language Processing	CAP 6640	3
Data Mining and Machine Learning	CAP 6673	3
Information Retrieval	CAP 6776	3
Web Mining	CAP 6777	3
Advanced Data Mining and Machine Learning	CAP 6778	3
Computer Performance Modeling	CEN 6405	3

Transfer Credits
Any transfer credits (from other institutions) toward the requirements for the Ph.D. degree must be approved by the department, the College and the University. The transfer credits must correspond to equivalent requirements and performance levels expected for the degree. A maximum of 30 credits can be transferred from a master's degree. In addition to the credits for a master's degree, no more than 6 credits of coursework can be transferred from another institution.

Time Limitation
A Ph.D. student who enters the program with a master's degree has no more than 10 years to complete all requirements for the Ph.D. degree.

Dissertation Committee
Students are encouraged to interact with faculty members of the department to select a dissertation advisor and research area/topic for their dissertation. After a student has passed the Candidacy Examination, a dissertation committee shall be formed to supervise the student's research work. The committee will consist of at least four faculty members who are familiar with the research area, at least three of whom are regular faculty members of the department. At least one member of the committee is recommended to be from outside the department (could also be from another institution or industry), and this member should have an academic or professional level compatible with the rest of the committee. The committee is chaired by the student's dissertation advisor. The chair of the committee must be a faculty member from the Department of Electrical Engineering and Computer Science. Students are expected to work in close cooperation with their dissertation committee and to keep the committee members informed about their progress on a regular basis. The dissertation committee should meet with the student at least once a semester to review the progress of the research work.

Dissertation and Oral Defense
The dissertation must be written in the format specified by the Graduate College. A copy of the dissertation must be submitted to the Graduate College for approval of the dissertation format. Dissertations must be defended orally. A dissertation should be submitted to the members of the dissertation committee for their review at least two weeks before the oral defense. After an oral defense, the members of the dissertation committee vote on acceptance or rejection of the dissertation. The committee may also suggest that the student do some additional work so as to make the dissertation acceptable. The decision of the dissertation committee will be reported in the form of a satisfactory/unsatisfactory grade for dissertation credits.

Computer Science
Doctor of Philosophy (Ph.D.)
Professional Program

The Ph.D. in Computer Science Professional Program is designed specifically for working professionals. Professionals will be able to advance their careers with an accelerated graduate program and obtain an advanced degree while continuing to work. The Professional program is available only for students who have a master’s degree in Engineering, Computer Science or a related discipline awarded by a regionally accredited institution. A minimum of 72 graduate credits is required beyond a bachelor’s degree. Since a master’s degree in a related field is considered equivalent to 30 credits, students in this program must complete at least 42 credits distributed as follows: 18 credits of graduate coursework and 24 credits of dissertation work.

Students must select one of the following options:

1.  Professional Ph.D. in Computer Science, or
2.  Professional Ph.D. in Computer Science, Data Science and Analytics Concentration

The course offering format includes evenings, weekends and online material using Canvas. Each course duration is four weeks or one of the FAU mini semesters. Students are expected to complete the program in three years.

Admission Requirements
To qualify for unconditional or full acceptance into the Ph.D. in Computer Science Professional Program, applicants are required to meet all the admission requirements for the Ph.D. with major in Computer Science program.

Conditional admission may be available under extraordinary circumstances for applicants who show high promise to successfully complete the program and who have received a master's degree from a regionally accredited institution, but who fall short of the GPA and/or the GRE requirement. In these cases, the admissions committee for the Professional Ph.D. in Computer Science will review the application carefully and consider all aspects including, but not limited to, grade trends, mature work experience, work accomplishment and promotion, type and rigor of undergraduate and master's degree programs, references and letters of recommendation.

Degree Requirements
Degree requirements are the same as those specified in the degree requirements for the Doctor of Philosophy in Computer Science, the option where students have already completed the master’s degree.

Students pursuing the Data Science and Analytics concentration must complete the same concentration requirements as in the traditional program.

Students in the Professional Ph.D. degree in Computer Science program are exempt from the requirement to complete two semesters of CGS 5937, Graduate Seminar (0 credits). 

Program Fees
The Ph.D. in Computer Science Professional Program is a full-service, all-inclusive program. The fees cover all program costs including tuition, text books, course materials and graduation activities. To view our full cost of attendance information page, visit https://www.fau.edu/finaid/other/cost-of-attendance/. 

Application Process and More Information
To apply or receive more information about this program, visit the Computer & Electrical Engineering and Computer Science website or call 561-297-3855.

Neuroscience
Doctor of Philosophy (PH.D.)

This doctoral program in Neuroscience is a multi-college, multi-institute interdisciplinary degree program organized in partnership with the FAU Brain Institute. Graduate-level instruction is provided by faculty in multiple departments located in the Charles E. Schmidt College of Science, the Charles Schmidt College of Medicine, the College of Engineering and Computer Science, the College of Education and the Harriet L. Wilkes Honors College. Affiliated faculty from the Max Planck Florida Institute for Neuroscience and Scripps Research Florida also participate in the program. The program aims to equip students with the advanced conceptual and technical skills needed to forge productive, neuroscience-oriented careers in industry, academia and government. Specific details for this doctoral program appear in the Interdisciplinary Programs section of this catalog.

Electrical Engineering

Link to Combined Programs

Link to Master's Programs

Link to Doctoral Program

Bachelor's Program

Mission Statement
The mission of the undergraduate program in Electrical Engineering is to offer an E.E. program of study that augments the liberal education expected of all FAU undergraduates and imparts a basic understanding of electrical engineering built on a foundation of physical science, mathematics, computing and technology.

Educational Objectives and Outcomes
The educational objectives of the Electrical Engineering undergraduate program are to enable graduates who, within a few years after graduation, will:

1. Be successful in understanding, formulating, analyzing and solving a variety of electrical engineering problems;
   
2. Be successful in designing a variety of engineering systems, products or experiments;
   
3. Be successful in careers and/or graduate study in engineering or other areas such as business, medicine and law;
   
4. Have the ability to assume leadership and entrepreneurial positions;
   
5. Successfully function and communicate effectively, both individually and in multidisciplinary teams;
   
6. Understand the importance of lifelong learning, ethics and professional accountability.

The Bachelor of Science degree program in Electrical Engineering is accredited by the Engineering Accreditation Commission of ABET.

The educational objectives of the Electrical Engineering program are achieved by ensuring that graduates have the following characteristics or student outcomes:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics.
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors.
3. An ability to communicate effectively with a range of audiences.
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts.
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives.
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions.
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Electrical Engineering
Bachelor of Science IN Electrical Engineering (B.S.E.E.)

(Minimum of 123 credits required)

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above in order to be accepted into the Electrical Engineering program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

General Degree Requirements
The minimum number of credits required for the Bachelor of Science in Electrical Engineering (B.S.E.E.) degree is 123 credits. All courses that count toward the degree must be completed with grades of "C" or better. The Bachelor of Science in Electrical Engineering degree will be awarded to students who meet all admission and degree requirements of the department and the University. Notes below are referenced in the tables following the list.

Notes:  
Students entering FAU with less than 30 credits must satisfy the course requirements specified in the catalog section, Degree Requirements. Students entering FAU with more than 30 credits (transfer students) must see the undergraduate advisor for an evaluation of courses taken at another school. The general education requirements are normally satisfied if a student has an Associate in Arts (A.A.) degree from a Florida community or state college. Once students earn beyond 30 credits, they  must substitute EGN 1002, Fundamentals of Engineering, with an electrical engineering elective.

Program Summary
General Education	24
Mathematics	15
Science	9
Common Core	27
Computer Engineering - Electrical Engineering Core	18
Electrical Engineering Core	9
Semi-Core Group 1	3
Semi-Core Group 2	6
Electives	12
Total	123

 

General Education
Foundations of Written Communication	6
Foundations of Society and Human Behavior	6
Foundations of Global Citizenship	6
Foundations of Humanities	6
Subtotal	24

 

Mathematics
Calculus with Analytic Geometry 1	MAC 2311	4
Calculus with Analytic Geometry 2	MAC 2312	4
Calculus with Analytic Geometry 3	MAC 2313	4
Engineering Mathematics 1	MAP 3305	3
Subtotal		15

 

Science
Physics for Engineers 2	PHY 2044	3
General Physics for Engineers 1	PHY 2048	4
General Physics Lab 1	PHY 2048L	1
General Physics Lab 2	PHY 2049L	1
Subtotal		9

Core Courses 
All students must take the following core courses, which total 51 credits.

Common Core
Introduction to Data Science and Analytics	CAP 4773	3
Computer Logic Design	CDA 3203	3
Computer Architecture	CDA 4102	3
Systems Programming with C++***	COP 3275C	3
Introduction to Programming in Python	COP 3035C	3
Foundations of Computing*	COT 2000C	3
Stochastic Processes and Random Signals**	EEE 4541	3
RI: Engineering Design 1	EGN 4950C	3
RI: Engineering Design 2	EGN 4952C	3
Subtotal		27

* MAD 2104 may be substituted for COT 2000C.
** STA 4821 may be substituted for EEE 4541.
***May be used as an elective for a minor in Computer Science.

Computer Engineering - Electrical Engineering Core
Design of Digital Systems and Lab	CDA 4240C	3
Electronics 1	EEE 3300	3
Circuits 1	EEL 3111	3
Electronics Laboratory 1	EEL 3118L	3
Signals and Digital Filter Design	EEL 3502	3
Fundamentals of Engineering	EGN 1002	3
Subtotal		18

 

Electrical Engineering Core
Electronics 2 and Lab	EEE 4361C	3
Principles of Communication Systems	EEL 4512C	3
Control Systems 1	EEL 4652C	3
Subtotal		9

Semi-Core Courses
All students must take 3 credits from Semi-Core Group 1 and 9 credits from Semi-Core Group 2.

Electrical Engineering Semi-Core Group 1 (Select one course)
Electric Power Systems	EEL 4216	3
Electrical Machines	EEL 4220	3
Subtotal		3

 

Electrical Engineering Semi-Core Group 2 (Select two courses)
Electronics 3 and Lab	EEE 4362C	3
Introduction to Digital Signal Processing	EEE 4510	3
Electromagnetic Fields and Waves	EEL 3470	3
Photovoltaic Power Systems	EEL 4281	3
Digital Communication Systems	EEL 4522	3
Introduction to Wireless Communication Systems	EEL 4580	3
Subtotal		6

Electives
All students must take 6 credits of technical electives and 6 credits of Electrical Engineering electives. Certain 3000- and 4000-level courses offered by the Electrical Engineering and Computer Science Department may be used as a technical or Electrical Engineering elective. In addition, any two Computer Science courses listed in the Computer Science minor program may be used as technical electives. Certain 5000- or 6000-level courses offered by the Electrical Engineering and Computer Science Department may be taken as technical electives or Electrical Engineering electives. Students must see an advisor for a current list of approved elective courses.

Electrical Engineering Electives	6
Technical Electives	6

Students are permitted to take no more than the equivalent of one course (3 credits) of the following three courses as an Electrical Engineering elective. 

Professional Internship	IDS 3949	0-4
Directed Independent Study	EEL 4905	1-3
Directed Independent Research in Engineering and Computer Science	EGN 4915	1-3

Professional Internship
Students must have completed EEE 3300, Electronics 1 and EEL 3118L, Electronics 1 Lab with a minimum grade of "C" before becoming eligible to register for a professional internship. Approval through the Career Center is required prior to enrollment.

Directed Independent Study
Students must have completed EEE 4361C, Electronics 2 and Lab, with a minimum grade of "C" before being eligible to register for directed independent study or directed independent research. 

Sample Four-Year Program of Study
For the sample four-year program of study for the Bachelor of Science in Electrical Engineering, refer to the Curriculum Sheets and Flight Plans by major.

Second Bachelor's Degree
This program is for those individuals with a degree in another discipline who are seeking a Bachelor of Science in Electrical Engineering degree at FAU.

Admission Requirements
Students seeking a bachelor's degree or graduate degree in another discipline must satisfy all admission requirements of the first bachelor's degree in Electrical Engineering at FAU.

Degree Requirements

1. Earn a minimum of 30 credits in residence at FAU, at the 3000 level or higher, beyond those required for the first degree. Students earning two degrees simultaneously (a dual degree) must earn at least 150 credits.
2. Earn at least 75 percent of all upper-division credits required for the major from FAU.
3. Students must have completed 15 credits in mathematics, 9 credits in science and 54 credits in core courses listed in the Electrical Engineering degree program. Each course must be completed with a minimum grade of "C."

Undergraduate Transfer Students
Prior to the academic advising session, course syllabi need to be submitted to the Undergraduate Academic Advisor for evaluation of possible transfer credits. Course descriptions can be provided by submitting an undergraduate catalog from the post-secondary institution attended, submitting course descriptions from an online catalog (requires that the post-secondary institution web address be at the bottom of each page) or by providing course syllabi. The Academic Advisor evaluation needs to be performed even if a student has an evaluation by an approved agency.    

Combined Programs

Electrical Engineering
Bachelor of Science IN Electrical Engineering (B.S.E.E.) to Master of Science (M.S.)
Combined Program

This program enables qualified FAU undergraduate EE students to obtain both their B.S.E.E. and M.S. degrees in approximately five years by allowing up to 12 credits of approved graduate coursework (5000 level or higher) to apply toward both degrees as long as the combined program totals a minimum of 150 credits:

1.  The student has met the minimum 120 credits for the bachelor's degree; and
2.  The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

This essentially takes away approximately one semester of coursework and offers an attractive option for enthusiastic students planning for their graduate education. Students who have a cumulative GPA of 3.25 or better after completing 96 credits toward the B.S.E.E. are eligible for admission to the program. Students complete the undergraduate degree first.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Program Process

1. Eligible students apply to the department for acceptance into the program during the term in which they will complete 96 credits toward their B.S.E.E. degree.
2. Eligible students take courses in their senior year that will apply to both their B.S.E.E. and M.S. degrees.
3. Students participating in this program may opt for the thesis or non-thesis option in their M.S. degree.
4. Students planning for the thesis option need a letter of recommendation from their potential thesis advisor.
5. Students must be admitted to the joint B.S.E.E./M.S. program at least one semester prior to the start of their M.S. degree program.
6. Students who are successful in completing their M.S. degree within one year will be presented a certificate of recognition.

Degree Requirements
Students participating in this program must satisfy the degree requirements for a B.S.E.E. and M.S. as outlined in this catalog.

Electrical Engineering TO Artificial Intelligence
Bachelor of Science IN Electrical Engineering (B.S.E.E.) to Master of Science (M.S.)
Combined Program

The department offers a combined Bachelor of Science in Electrical Engineering (B.S.E.E.) to Master of Science in Artificial Intelligence (M.S.) program. Students in this combined program may count up to 12 credits of approved graduate coursework (5000 level or higher) toward both their bachelor's and master's degrees as long as the combined program totals a minimum of 150 credits:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

With an approximate duration of five years, these combined programs provide attractive ways for students to continue their graduate work. Students complete the undergraduate program first.

Prerequisite coursework for transfer students and admission requirements for this combined programs are the same as for the B.S.C.E or B.S.C.S. to M.S. degree programs noted above. 

Degree Requirements
The following specific technical elective courses must be taken as part of the requirements for the B.S.E.E. degree.

Technical Electives (6 credits required)
Programming 2	COP 3014	3
Data Structures and Algorithm Analysis	COP 3530	3

 

Electrical Engineering to Computer Engineering
Bachelor of Science IN Electrical Engineering (B.S.E.E.) to Master of Science (M.S.)
Combined Program

The B.S.E.E./M.S.Cp.E. program is intended for students who wish to take advantage of the broader systems orientation of the B.S.E.E. degree and then specialize in Computer Engineering. Selection of specific technical elective courses in the B.S.E.E. program qualifies the graduate to enter the M.S.Cp.E. program with no deficiencies, provided that the GPA and other computer engineering admission requirements are met. Up to 12 credits of approved graduate coursework (5000 level or higher) can apply toward both degrees as long as the combined program totals a minimum of 150 credits:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000-level of higher courses for the master's program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college university, or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The following specific technical elective and semi-core courses must be taken as part of the requirements for the B.S.E.E. degree in order to enter the B.S.E.E. to M.S. with Major in Computer Engineering Degree Program.

Technical Electives (6 credits required)
Programming 2	COP 3014	3
Data Structures and Algorithm Analysis	COP 3530	3
Electrical Engineering Semi-Core (6 credits required)
Introduction to Embedded System Design	CDA 4630	3
Communication Networks	CNT 4007	3

 

Electrical Engineering to Information Technology and Management
Bachelor of Science IN Electrical Engineering (B.S.E.E.) to Master of Science (M.S.)
Combined Program

Advanced Information Technology Concentration (M.S.)
Computer Science Data Analytics Concentration (M.S.)

For details about this combined program, click here.

Electrical Engineering
Bachelor of Science in Electrical Engineering (B.S.E.E.) to Doctor of Philosophy (Ph.D.)
Combined Program 

The Department of Electrical Engineering and Computer Science offers a combined Bachelor of Science in Electrical Engineering (B.S.E.E.) to Ph.D. with major in Electrical Engineering degree program.

Students may count up to 12 credits of graduate coursework (5000 level or higher) offered by the EECS Department toward both their B.S.E.E. and Ph.D. degrees. These graduate courses will replace elective courses in the bachelor’s program. The program does not increase the number of credits in the undergraduate degree.

The combined program totals a minimum of 195 credits, provided that:

1. The student has met the minimum 123 credits for the bachelor's degree; and
2. The student has taken a minimum of 72 credits in 5000 level or higher courses for the Ph.D. program.

This combined program provides an attractive way for students to continue their graduate work. Students complete the undergraduate program first.

Admission Requirements
The GRE requirement is waived for this combined program.

1. 1. To be eligible to apply for the combined program, students must have a cumulative FAU GPA of 3.5 or better at the end of their junior year. Note that the cumulative FAU GPA of at least 3.5 must be maintained until the completion of the bachelor's degree. 
2. Formally apply to the combined program after the junior year (90 credits or more of coursework completed). The application must include one reference letter. 
3. Must be admitted into the combined program at least one semester prior to the beginning of the Ph.D. portion of the program.

Students in the combined program must maintain continuous enrollment to remain in good standing.

Degree Requirements
To be eligible for the combined bachelor to Ph.D. program, students must fulfill the following requirements:

1. Completion of the requirements for the B.S.E.E. program and other requirements stipulated by the University and College.
2. Completion of all requirements for the Ph.D. with major in Electrical Engineering degree program.
   
   

Master's Programs

Electrical Engineering
Master of Science (M.S.)

The department offers thesis and non-thesis options at the master's level. Students may specialize in several areas: telecommunications; digital signal processing; systems and robotics, including control systems and machine vision; electromagnetics and RF, antennas, microwave systems, EMC/EMI and HF RF circuit design; alternative energy systems, including photovoltaic and fuel cell systems; bioengineering; neural networks; and optics and photonics. The Master of Science with major in Electrical Engineering is available in person and fully online.

Admission Requirements
All applicants must submit official transcripts from all previous postsecondary institutions attended. Applicants for admission will be evaluated on an individual basis and must satisfy the following requirements. Students with non-engineering bachelor's degrees, click here for additional requirements.

1. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).
2.  A baccalaureate degree in Engineering, Natural Science or Mathematics;*
3. A minimum GPA of 3.0 (of a possible 4.0 maximum) in the last 60 credits of undergraduate work.

* Students whose backgrounds are not in electrical or computer engineering should expect to take additional coursework to satisfy deficiencies.

Admission to Candidacy
Graduate students are required to submit a Plan of Study when they have completed between 9 and 15 credits of coursework with a minimum cumulative GPA of 3.0. A student may not register for thesis credits prior to approval of a submitted Plan of Study.

Degree Requirements
Students must satisfy all of the University graduate requirements. In addition, the following specific degree requirements apply, depending on the choice of degree program:

Thesis Option (30 credits)

1. Requires 6 credits of orally defended written thesis. The M.S. committee is chaired by the student's thesis advisor. The chair of the committee must be a graduate faculty member from the Department of Electrical Engineering and Computer Science.
2. Requires 24 credits of approved coursework with the following constraints:
   1. Minimum of 12 credits in EE courses;
   2. No 4000-level course may be counted toward the degree;
   3. A 3-credit course with math prefix or one of the following courses: EEL 5613, Modern Control; EEE 5502, Digital Processing of Signals; EEL 6482, Electromagnetic Theory 1; EOC 5172, Mathematical Methods in Ocean Engineering 1.
3. At least one-half of the credits must be at the 6000 level or above.
4. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Note:  No more than 3 credits of directed independent study may be applied toward the master's degree.

Non-Thesis Option (30 credits)

1. Requires 30 credits of approved coursework with the following constraints:
   1. No 4000-level course is allowed toward the degree. Courses taken to make up for the deficiencies will not be counted toward the degree;
   2. A 3-credit course with math prefix or one of the following courses: EEL 5613, Modern Control; EEE 5502, Digital Processing of Signals; EEL 6482, Electromagnetic Theory 1; EOC 5172, Mathematical Methods in Ocean Engineering 1;
   3. A minimum of 18 credits must be completed in EE.
2. At least one-half of the credits must be at the 6000 level or above.
3. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").
   

Note: No more than 3 credits of directed independent study may be applied toward the master's degree.

Deficiency Requirements
From the following list of deficiency EE courses, students must take two mandatory courses and at least two courses from the list following the mandatory courses. 

Mandatory courses
Electronics Laboratory 1	EEL 3118L
Signals and Digital Filter Design	EEL 3502
Choose at least two courses from the list
Introduction to Embedded Systems Design	CDA 4630
Electronics 2 and Lab	EEE 4361C
Stochastic Processes and Random Signals	EEE 4541
Electromagnetic Fields and Waves	EEL 3470
Electric Power Systems	EEL 4216
Electrical Machines	EEL 4220
Principles of Communication Systems	EEL 4512C
Control Systems 1	EEL 4652C

An insufficient number of the above courses will be considered a deficiency. Students are expected to take the necessary deficient courses during their course program as an extra load beyond the regular graduate coursework.

Students with engineering technology degrees are expected to first satisfy the FAU EE undergraduate graduation requirements before being admitted to the graduate program.

Electrical Engineering
Master of Science (M.S.) with a Business Minor

Those students electing to receive a minor in Business must complete 36 credits, of which 21 are to be from the Electrical Engineering courses described in this section of the catalog and 15 are to be from the courses approved by the College of Business for the Business minor. Such students will have to satisfy the prerequisite and core requirements of the appropriate degree program of the department. In addition, students should also satisfy the University requirements for graduate programs. For more information, students should consult their faculty advisor.

Doctoral ProgramS

Electrical Engineering
Doctor of Philosophy (Ph.D.)

The department offers a program of advanced graduate study leading to a Doctor of Philosophy degree in Electrical Engineering. This degree program is available in person and fully online. Students in the Ph.D. with Major in Electrial Engineering program have the option of pursuing a concentration in Neuroengineering.

Admission Requirements
Applicants for admission to doctoral study will be evaluated on an individual basis by the departmental graduate admissions committee. As a rule, the applicant must have:

1. At least a 3.3 (of a possible 4.0 maximum) grade point average in the last 60 credits attempted in the relevant field;
2.  Submission of the Graduate Record Examination (GRE) score is required. GRE scores more than five years old are normally not acceptable. The GRE requirement is waived for any student who has an M.S. degree without thesis from FAU's Department of Electrical Engineering and Computer Science;
   
3.  A master's degree in Engineering or a related discipline awarded by a recognized institution (thesis options are preferred);
4. Two reference forms that document the applicant's research potential, motivation, relative academic achievement and personality;
   
5. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS).
   
   

Applicants are expected to have taken the following prerequisite courses (or equivalents) before pursuing the Ph.D. degree. In some cases, prerequisite requirements may be satisfied after admission to the Ph.D. program. In such a case, proficiency in the prerequisite courses must be shown before the student takes dissertation credits.

From the following list of deficiency EE courses, students must take two mandatory courses and at least two courses from the list following the mandatory courses. 

Mandatory courses
Electronics Laboratory 1	EEL 3118L
Signals and Digital Filter Design	EEL 3502
Choose at least two courses from the list
Inroduction to Embedded Systems Design	CDA 4630
Electronics 2 and Lab	EEE 4361C
Stochastic Processes and Random Signals	EEE 4541
Electromagnetic Fields and Waves	EEL 3470
Electric Power Systems	EEL 4216
Electrical Machines	EEL 4220
Principles of Communication Systems	EEL 4512C
Controls Systems 1	EEL 4652C

Candidacy Exam 
The candidacy exam is an exam intended to assess whether or not a student is ready to conduct research at the doctoral level and is able to publish in international conferences and journals. The exam must be passed for formal admission into the doctoral program. Students seeking the Ph.D. degree are expected to take the exam after completing 9 credits of their doctoral studies. A student failing the candidacy exam may, upon re-application, take it a second time. Two failures will normally result in the student's dismissal from the Ph.D. program. Specific instructions for applying and taking the Candidacy Examination are detailed on the EECS website.

Admission to Candidacy
To be considered for the doctoral candidacy:

1. The student must pass the Candidacy Examination (CE) administered by the department. 
2. Following successful completion of the CE QE, the student must find a qualified faculty member in the department willing to chair the doctoral (dissertation) committee. The dissertation committee chair will then consult with the student to form the complete committee. Working with this dissertation committee chair, the student must complete the official Admission to Candidacy application along with the approved Plan of Study.
   
   

Candidacy approval will be based on:

1. The academic record of the student;
2. An approved (tentative) dissertation topic.

A student may not register for dissertation credit until the application for candidacy has been approved.

Degree Requirements

1. A minimum total of 72 credits is required beyond the bachelor's degree level. A master's degree in a related field is considered equivalent to 30 credits. Students must take a minimum of 18 credits of graduate coursework beyond the master's degree and a minimum of 24 dissertation credits.
   
2. Of the 18-credit minimum of coursework, a minimum of 12 credits must be Electrical Engineering courses (excluding directed independent study credits) and a minimum of 9 credits of 6000-level must be completed.
3. No more than 3 credits of directed independent study or advnaced research may be used to satisfy the minimum of 18 credits. In that case, the subject matter may not overlap the student's dissertation. 
4. No 4000-level course may be counted toward the degree. Courses taken to make up for deficiencies will not be counted toward the degree.
5. Specific Focus Area coursework will be required.
6. At least 6 credits in courses with math prefix are required as part of coursework beyond the bachelor's degree. These may include EEL 5613, Modern Control; EEE 5502, Digital Processing of Signals; EEL 6482, Electromagnetic Theory 1; EOC 5172, Mathematical Methods in Ocean Engineering 1.
7. Must complete two semesters of CGS 5937, Graduate Seminar (0 credits) with grades of Satisfactory ("S").
8. A written dissertation proposal must be accepted by the dissertation committee, at least six months prior to defending the dissertation.
9. When the candidate submits the Application for Graduation, he/she must indicate the following as a check list: (a) Date of QE taken and candidacy filed; (b) Date of dissertation proposal presented and approved by the Ph.D. Committee and (c) Status of the Plan of Study.
10. Draft copy of the dissertation must be submitted for review by the Ph.D. Committee at least 15 days prior to the date of defending the dissertation. And the dissertation must be completed and orally defended.
    
    

It is expected that all doctoral candidates have at least one research paper published or accepted for publication in a fully refereed conference or journal prior to graduation. A patent relevant to the Ph.D. research topic/dissertation as approved by the U.S. Patent Office with an assigned number can substitute for the journal or conference publication requirement.

Transfer Credits
Any transfer credit toward requirements for the Ph.D. program must be approved by the department and the University. A maximum of 30 credits (which may include credits taken toward the master's degree with no more than 6 credits for the M.S. thesis) can be transferred into the student's program of study.

Time Limitation
A Ph.D. student who enters the program with a master's degree has no more than 10 years to complete all requirements for the Ph.D. degree.

Dissertation Committee
Students are encouraged to interact with faculty members of the department to select a dissertation advisor and research area/topic for their dissertation. After a student has passed the candidacy exam, a dissertation committee shall be formed to supervise the student’s research work. The committee should consist of at least four faculty members who are familiar with the research area, three of whom are regular faculty members of the department. At least one member of the committee is recommended to be from outside the department (could be from another institution or industry), and this member should have an academic or professional level compatible with the rest of the committee. The committee is chaired by the student’s dissertation advisor. The chair of the committee must be a faculty member from the Department of Electrical Engineering and Computer Science. Students are expected to work in close cooperation with their dissertation committee and keep the committee members informed about their progress on a regular basis. The dissertation committee should meet with the student at least once a semester to review the progress of the research work.

Dissertation and Oral Defense
The dissertation must be written in the format specified by the Graduate College. A copy of the dissertation must be submitted to the Graduate College for approval of the dissertation format. Dissertations must be defended orally. A dissertation should be submitted to the members of the dissertation committee for their review at least two weeks before the oral defense. After an oral defense, the members of the committee vote on acceptance or rejection of the dissertation. The committee may also suggest that the student do additional work to make the dissertation acceptable. The decision of the dissertation committee is reported in the form of a satisfactory/unsatisfactory grade for dissertation credits.

Graduate Coursework -  18 credits  (for students entering with a master's degree)
Select 18 credits at the 5000, 6000 or 7000 levels. Minimum of 12 credits in Electrical Engineering (excluding DIS). Maximum of 3 credits of Directed Independent Study or Advanced Research.
Directed Independent Study	EEL 6905 or
Advanced Research	EGN 6918
Dissertation - 24 credits
Dissertation (taken over multiple terms)	EEL 7980
For students entering with a bachelor's degree, see B.S. to Ph.D. programs earlier in this College of Engineering and Computer Science section.
Math Requirement - 6 credits
Select one course from the following
Digital Processing of Signals	EEE 5502	3
Modern Control	EEL 5613	3
Control Systems 2	EEL 5654	3
Electromagnetic Theory 1	EEL 6482	3
Detection Theory	EEL 6537	3
Special Topics in Electrical Engineering	EEL 6935	1-4
Mathematical Methods in Ocean Engineering 1	EOC 5172	3
Queueing Theory	MAP 6264	3

 

Electrical Engineering
Doctor of Philosophy (Ph.D.)

Neuroengineering Concentration

Admission Requirements
Applicants should meet al the admission requirements for the Ph.D. with Major in Electrical Engineering program.

Degree Requirements
Applicants should meet all the degree requirements for the Ph.D. with Major in Electrical Engineering program. In addition, the following requirements should be met.

1. Graduate coursework counted for the Ph.D. program must contain at least three graduate courses from the table below. These courses focus on theoretical and/or applied neuroengineering. Additional courses may be approved by the dissertation advisor. Graduate courses completed during the master's degree program may also be used to meet this requirement.
2. The student's Ph.D. dissertation research and scholarship must have a strong emphasis on one or more areas of neuroengineering, including but not limited to applied and/or theoretical areas.
   
   

Engineering and Computer Science Courses
Introduction to Biomedical Engineering	BME 5000	3
Biosystems Modeling and Control	BME 5742	3
Biomaterials	BME 6105	3
Stem Cell Engineering	BME 6324	3
Tissue Engineering	BME 6334	3
Neural Engineering	BME 6390	3
Advanced Topics in Microfluidics and BioMEMS	BME 6585	3
Computational Modeling of Biological Neural Networks	BME 6718	3
Bioinformatics: Biomedical Perspectives	BME 6762	3
Introduction to Neural Networks	CAP 5615	3
Artificial Intelligence	CAP 6635	3
Data Mining and Machine Learning	CAP 6673	3
Biosignal Processing	EEE 5286	3
Nanobiotechnology	EEE 5425	3
Robotic Applications	EEL 5661	3
Information Theory	EEL 6532	3
Neural Complex and Artificial Neural Networks	EEL 6819	3
Science Courses
Cognitive Neuroscience	ISC 5665	3
Computational Neuroscience	ISC 6460	3
Neurophysiology	PCB 6835C	3
Cellular and Molecular Neuroscience	PSB 6345	3
Systems and Integrative Neuroscience	PSB 6346	3

 

Biomedical Engineering

Faculty:
Agaarwal, A.; Asghar, W.; Assis, R.; DeGiorgio, M.; Du, S.; Engeberg, E.; Ghoraani, B.; Hashemi, J.; Kang, Y.; Pavlovic, M.Ranji, M; Pashaie, R.; Shankar, R.; Yi., P.; Zhi, H.

Biomedical Engineering stands at the intersection of the revolution taking place in advanced medical treatments as a result of applying the principles and practice of the engineering and computer science disciplines to the biological, biomedical and medical sciences. Biomedical Engineering is a broad and emerging field that impacts drug delivery, surgery, diagnosis, prevention and treatment. Students successfully completing the Master of Science with major in Biomedical engineering program will be prepared for professional careers in businesses related to medical diagnostics, prosthetic devices and neural and other implants; the pharmaceutical and biotechnology industries; and consulting in health-related fields, as well as other positions in industry, commerce, education and government. Students will also be prepared to continue their formal education at the Ph.D. level in a variety of science and engineering disciplines and at the M.D. level in certain cases. The Master of Science with major in Biomedical Engineering is available in person and fully online.

Link to Combined Bachelor of Science in Biomedical Engineering (B.S.B.M.E.)

Link to Master of Science in Biomedical Engineering

biomedical engineering
Bachelor of Science

(Minimum of 120 credits required)

The program of study leading to the Bachelor of Science in Biomedical Engineering (B.S.B.M.E.) reflects the breadth of the profession. Students complete coursework in basic science and mathematics, engineering sciences and engineering systems and materials. The major includes five areas of focus: 1. Biomaterials and Tissue Engineering; 2. Smart Health Systems; 3. Biorobotics; 4. Bioinformatics; and 5. Nursing Technologist. The Biomedical Engineering program is the first to offer the Nursing Technologist track and an interface with the artificial intelligence center that will add benefits to the Biorobotics and Smart Health Systems focus areas.

Biomedical Engineering Educational Objectives and Student Outcomes
The Biomedical Engineering program strongly supports the educational objectives and learning outcomes of the College of Engineering and Computer Science (see the Educational Objectives and Expected Student Learning Outcomes subsections previously listed in this section).

Program Educational Objectives are broad statements that describe the expected accomplishments and professional status of Biomedical Engineering graduates a few years beyond the baccalaureate degree.

The Biomedical Engineering program at Florida Atlantic University is dedicated to graduating engineers who, within a few years after graduation will:

1. Practice biomedical engineering within the general areas of biomaterials and tissue engineering, bio-robotics, bioinformatics, nursing technology and smart health systems in the organizations that employ them;
2. Advance their knowledge of biomedical engineering, both formally and informally, by engaging in lifelong learning experiences including attainment of professional licensure and/or graduate studies;
3. Serve as effective professionals based on strong interpersonal and teamwork skills, an understanding of professional and ethical responsibility and a willingness to take the initiative and seek progressive responsibilities; and
4. Participate as leaders in activities that support service to, and/or economic development of, the community, the region, the state and the nation.

The educational objectives of the Bachelor of Science in Biomedical Engineering program are achieved by ensuring that graduates have the following characteristics or student outcomes:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics;
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors;
3. An ability to communicate effectively with a range of audiences;
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts;
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives;
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions; and
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Admission Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions
section of this catalog. All students must meet the preprofessional requirements listed above to be accepted in the B.S.B.M.E. program.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides and below.

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy
requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Degree Requirements
The Bachelor of Science in Biomedical Engineering degree will be awarded to students who:

1. Meet all general degree requirements of the University.
2. Complete the curriculum for the B.S. in Biomedical Engineering degree (see below).

Curriculum
The Bachelor of Science in Biomedical Engineering degree requires 120 credits. For credit toward the degree, a grade of "C" or better must be received in each course listed. In addition, all prerequisites for each mathematics, science or engineering course must be completed with a grade of "C" or better before enrollment is permitted. The degree components are listed below.

General Education Program
College Writing 1 (2,3)	ENC 1101	3
College Writing 2 (2,3)	ENC 1102	3
General Education Program: Society and Human Behavior Courses		6
General Education Program: Global Citizenship Courses		6
General Education Program: Humanities Courses		6
Foundations of Math and Quantitative Reasoning
Calculus with Analytic Geometry 1 (1,4)	MAC 2311	4
Calculus with Analytic Geometry 2 (1,4)	MAC 2312	4
Foundations of Science and the Natural World
General Chemistry 1 (1,5)	CHM 2045	3 and
General Chemistry 1 Lab	CHM 2045L	1
General Physics for Engineers 1 (1,5,7)	PHY 2048	3 and
General Physics 1 Laboratory	PHY 2048L	1
Total		40
Basic Mathematics and Science
Statistics Restricted Elective		3
Engineering Mathematics 1	MAP 3305	3 or
Differential Equations 1	MAP 2302	3
Bioprinciples 1 (5)	BSC 1010	3 and
Bioprinciples Lab	BSC 1010L	1
General Chemistry 2 (5)	CHM 2046	3 and
General Chemistry 2 Lab	CHM 2046L	1
Organic Chemistry 1	CHM 2210	3
Organic Chemistry 2	CHM  2211	3
Biochemistry 1	BCH 3033	3 and
Anatomy and Physiology 1	BSC 2085	3 and
Anatomy and Physiology 1 Lab	BSC 2085L	1
Genetics	PCB 3063	4
Total		33

Statistics Restricted Elective: Probability and Statistics for Engineers (STA 4032), Stochastic Models for Computer Science (STA 4821), Probability and Statistics 1 (STA 4442), Introduction to Biostatistics (STA 3173) or equivalent.

Total above is 74, leaving 46 credits of Engineering courses to comply with ABET criteria.

Engineering Fundamentals
Fundamentals of Engineering	EGN 1002	3
Engineering Graphics Elective
Computer Aided Design	CGN 2327	3 or
Engineering Graphics	EGN 1111C	3
Total		6
Basic Engineering
Introduction to Programming in Python	COP 3035	3
Statics	EGN 3311	3
Dynamics	EGN 3321	3
Circuits 1	EEL 3111	3
Introduction to Biomedical Engineering	BME 5000	3
Total		15
For the Bioimaging, Bioinformatics or Smart Health Track, as a prerequisite:
Data Structures and Algorithms Analysis	COP 3410	3 or
For the Biorobotics or Biomaterials and Tissue Engineering Tracks, as a prerequisite:
Engineering Thermodynamics	EGN 3343	3
Total		3
Capstone Design Core
RI: Engineering Design 1 (5)	EGN 4950C	3
RI: Engineering Design 2 (5)	EGN 4952C	3
Total		6
Choose two Focus Areas for a total of 12 credits, 6 from each area
Biomaterials and Tissue Engineering Focus Area - Choose two courses from the list
Neural Engineering	BME 4361	3
Nantechnology	BME 4571	3 or
Introduction to Nanotechnology	BME 4574	3
Total		6
Biorobotics Focus Area - Choose two courses from the list
Introduction to Microfluidics d BioMEMS	BME 4561	3
Electro-Mechanical Devices	EGM 4045	3
Introduction to Robotics	EML 4800	3
Total		6
Bioimaging / Nursing Technologies Focus Area - Choose two courses from the list
Introduction to Biosignal Processing	BME 4509	3
Introduction to Bioimaging	BME 4536	3
Signal and Digital Filter Design	EEL 3502	3
Total		6
Bioinformatics Focus Area - Take the following two courses
Computational Genomics	CAP 4511	3
Algorithms for Bioinformatics	CAP 4543	3
Total		6
Smart Health Systems Focus Area - Choose two courses from the list
Introduction to Deep Learning	CAP 4613	3
Introduction to Artificial Intelligence	CAP 4630	3
Introduction to Data Mining and Machine Learning	CAP 4770	3
Total		6
Technical Electives - Choose 3credits from the list
Professional Internship	IDS 3949	0-4 or
Engineering Professional Internship	EGN 3941	0-4
Directed Independent Research in Engineering and Computer Science (6)	EGN 4915	1-3
For pre-med students, choose biology lab  and organic chemistry lab for 3 credits
Total		3
Total Program		120

Notes:

1. Contributes to University Core Curriculum.
2. Contributes to Writing Across Curriculum (Gordon Rule) writing.
3. General Education Program courses, totaling 6 credits, must be selected to satisfy Writing Across Curriculum (Gordon Rule) writing requirements.
4. Contributes to Gordon Rule mathematics.
5. Includes a 1-credit laboratory.
6. Grading: S/U.
7. PHY 2048, General Physics for Engineers 1 (4 credits) is an acceptable substitute, but only 3 credits will apply toward the degree.

Internships
Biomedical Engineering students are strongly encouraged to gain practical experience through participation in internship opportunities. However, internships require prior approval from the department and coordinated with the Career Center (EGN 3941, Engineering Professional Internship). For more information, contact the FAU Career Center at 561-297-3533 or visit www.fau.edu/cdc.

Any major in the College (B.S.) to Biomedical Engineering
Bachelor of Science (B.S.) to Master of Science (M.S.) Combined Program

Bachelor of Science candidates in any College of Engineering and Computer Science program with a cumulative GPA of at least 3.25 at the end of their junior year are eligible to apply to the combined program, which allows students to complete their bachelor’s, as well as a master’s in Biomedical Engineering, within approximately five years. After application and admittance to the graduate program at the beginning of their senior year, up to 12 credits of approved graduate-level courses (5000 level or higher) may be taken and  counted toward both the B.S. and M.S. degrees as long as the combined program totals a minimum of 150 credits:

1. The student has met the minimum 120 credits for the bachelor's degree; and
2. The student has taken a minimum of 30 credits in 5000 level or higher courses for the master's program.

Students must retain a cumulative  GPA of 3.25 by the time of graduation. Thesis and Non-Thesis options are available. See below for master's program admission and degree requirements.

Biomedical Engineering
Master of Science (M.S.)

Admission Requirements
All applicants must submit official transcripts from all previous postsecondary institutions attended. Applicants for admission will be evaluated on an individual basis and must satisfy the following requirements. Students with non-engineering bachelor's degrees, click here for additional requirements.

1. International students from non-English-speaking countries must be proficient in written and spoken English as evidenced by a score of at least 500 (paper-based test) or 213 (computer-based test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL) or a score of at least 6.0 on the International English Language Testing System (IELTS);
2. A baccalaureate degree in Biology, Chemistry, Physics, Computer Science or Engineering with a mathematics background through Calculus 2 or calculus with basic differential equations.*
3. A minimum GPA of 3.0 (of a possible 4.0 maximum) in Science, Mathematics and Engineering courses;

* Students whose backgrounds are not in the disciplines noted should expect to take additional coursework.

Submission of Plan of Study
Graduate students are required to submit a Plan of Study when they have completed between 9 and 15 credits of coursework with a minimum cumulative GPA of 3.0. A student may not register for thesis credits prior to submitting a Plan of Study.

Degree Requirements
Students must satisfy all of the University graduate requirements. In addition, the following specific degree requirements apply, depending on the choice of degree program:

Thesis Option (30 credits)

1. Requires 6 credits of orally defended thesis. The M.S. committee is chaired by the student's thesis advisor. The chair of the committee must be a graduate faculty member from any department within the College of Engineering and Computer Science.
   
2. Requires 24 credits of approved graduate coursework (5000 level or higher) of which 12 credits are program core courses and the remaining 12 credits are approved elective courses offered by the College of Engineering and Computer Science and the Charles E. Schmidt College of Science.
3. No 4000-level course is allowed toward the degree. Courses taken to make up for deficiencies will not be counted toward the degree.
4. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Note: No more than 3 credits of directed independent study may be applied toward the master's degree with thesis option.

Non-Thesis Option (30 credits )

1. Requires 30 credits of approved coursework of which 12 credits are program core courses and the remaining 18 credits are approved elective courses offered by the College of Engineering and Computer Science and the Charles E. Schmidt College of Science.
2. No 4000-level course is allowed toward the degree. Courses taken to make up for deficiencies will not be counted toward the degree.
3. Must complete one semester of CGS 5937, Graduate Seminar (0 credits) with grade of Satisfactory ("S").

Note: No more than 3 credits of directed independent study may be applied toward the master's degree non-thesis option.

Deficiency Requirements in the M.S. in Biomedical Engineering Program
It is expected that students successfully complete a course in Genetics or Molecular Genetics (PCB 4522 or PCB 3063 at FAU or equivalent) at any time during their MSBE studies. The lack of this course will be considered a deficiency. Students are expected to take the necessary course during their course program as an extra load beyond the regular graduate coursework. A genetics course must be completed prior to enrollment into the Special Topics (Advanced Biotechnology Lab) core course.

Students who have had no computer programming coursework during their B.S. studies are required to take any undergraduate programming course (such as COP 2220, Programming 1, to satisfy this deficiency. The requirement must be satisfied prior to taking any of the following core courses: BME 5742, Biosystems Modeling and Control or BME 6762, Bioinformatics: Biomedical Engineering Perspectives.

Furthermore, an advisor's approval is required for students not having the required mathematics background.

Program Core Courses (12 credits)

Introduction to Biomedical Engineering	BME 5000
Biosystems Modeling and Control	BME 5742
Bioinformatics: Biomedical Perspectives	BME 6762 or
Data Mining and Machine Learning	CAP 6673
Laboratory Methods in Biotechnology	BSC 6408L

Deficiency Requirements  (not counted in the total program credits)

Genetics	PCB 3063
Introduction to Programming in Python	COP 3035

Bioinformatics Concentration
As part of the Biomedical Engineering master's program, students may pursue the Bioinformatics concentration option. To accomplish this, the following two courses must be taken to count as Biomedical Engineering, Computer Science and Engineering electives.

Bioinformatics Concentration Core Courses - 6 credits
Data Structures and Algorithms for Bioinformatics	CAP 5548
Introduction to Data Science	CAP 5768

Students in the Bioinformatics concentration must also take at least three courses from the following table to count as Biomedical Engineering, Computer Science and Engineering electives. Additional courses may be used as replacements to the listed courses with prior approval of the department.

Bioinformatics Concentration Semi-Core Courses - 9 credits
Algorithms in Bioinformatics	BME 6765
Computational Genomics	CAP 6517
Databases for Bioinformatics	CAP 6547
Artificial Intelligence in Medicine and Healthcare	CAP 6683
Data-Driven Engineering	CAP 6805

Bioinformatics concentration students take either an additional Biomedical Engineering, Computer Science or Engineering course or a free elective to fulfill the requirements of the Biomedical Engineering master's program.

Electives

Thesis Option (12 credits of elective courses as follows):

At least 9 credits from the Advising Sheet list of Engineering and Computer Science or Science Biomedical Engineering courses (such as Tissue Engineering, Stem Cell Engineering, Biomaterials, Introduction to Microfluidics and BioMEMS, Introduction to Robotics, NanoBiotechnology, Robotic Applications and Orthopedic Biomechanics, Medical Imaging, Bio-Signal Processing and Bioinformatics).

Up to 3 elective credits of approved Engineering and Computer Science or Science coursework may be added (courses such as Digital Signal Processing, Digital Image Processing, Machine Learning and Artificial Intelligence, Modern Control, Advanced Database Systems, Nanotechnology, Cellular and Molecular Neuroscience, Systems and Integrative Neuroscience or a directed independent study course).

Non-Thesis Option (18 credits of elective courses as follows):

At least 9 credits from the Advising Sheet of Engineering and Computer Science or Science Biomedical Engineering courses (such as Tissue Engineering, Stem Cell Engineering, Biomaterials, Introduction to Microfluidics and BioMEMS, Introduction to Robotics, NanoBiotechnology, Robotic Applications and Orthopedic Biomechanics, Medical Imaging, Bio-Signal Processing and Bioinformatics).

Up to 9 elective credits of approved Engineering and Computer Science or Science coursework may be added (courses such as Digital Signal Processing, Digital Image Processing, Machine Learning and Artificial Intelligence, Modern Control, Advanced Database Systems, Nanotechnology, Cellular and Molecular Neuroscience, Systems and Integrative Neuroscience, Immunology, Biology of Cancer, or an additional directed independent study course).

Up to 6 elective credits may be free elective courses (not included on the Biomedical Engineering Advising Sheet) subject to approval of the Biomedical Engineering Program Advisor.

Biomedical Engineering
Graduate Certificate

(Minimum of 15 credits required)

The College offers a graduate non-degree-seeking certificate in Biomedical Engineering. This certificate program is a practice-oriented, part-time graduate program designed to assist engineers, scientists, technical professionals and qualified senior undergraduates in the launch and/or development of their careers and to provide the technical expertise needed in the rapidly changing business, government and industrial environments.

Program Highlights
This is a 15-credit graduate non-degree-seeking certificate program focused on the application of engineering and computer science principles to biotechnology, bioinformatics and biosystems. It is designed for engineers and scientists working in the biotechnology, pharmaceutical, health care, drug discovery, biomedical, medical instrumentation and allied sectors.

Admission Requirements
The applicant must satisfy the following criteria:

1. A bachelor's degree in biology, chemistry, physics or engineering with a mathematics background through Calculus 2 or calculus with basic differential equations. Qualified senior undergraduates may be accepted into the graduate certificate program with appropriate committee recommendation;
2. GPA of 3.0 in science, mathematics and engineering courses;
3. No GRE scores are necessary. Student transcripts should demonstrate competency in science, mathematics and engineering coursework.

Certificate Requirements

1. PCB 3063, Genetics, (or an equivalent course) as a deficiency requirement with a minimum grade of “C”;
   
2. Biomedical Engineering courses (9 credits) such as Introduction to Biomedical Engineering, Biosystems Modeling and Control, Bioinformatics: Biomedical Engineering Perspectives, Tissue Engineering, Stem Cell Engineering, Biomaterials, Introduction to Microfluidics and BioMEMS, Introduction to Robotics, NanoBiotechnology, Robotic Applications and Orthopedic Biomechanics, Medical Imaging and Bio-Signal Processing;
   
3. Science courses (6 credits) relevant to Biomedical Engineering such as Special Topics (Advanced Biotechnology Lab), Bioinformatics, Cellular and Molecular Neuroscience, and Systems and Integrative Neuroscience;
   
4. The grade point average of the above 15 credits must be 3.0 or better;
5. All courses must be at the 5000 and 6000 levels.

Ocean and Mechanical Engineering

Faculty:
Beaujean, P. P. J.; Chair; Abtahi, H.; An, P.;  Cai, G. Q.; Carlsson, L. A.; Curet, O.; Davidson, J. B., Emeritus; Dhanak, M.; Du, S. E.; Elishakoff, I.; Engeberg, E. D.; Hartley, C. S., Emeritus; Hartt, W. H., Emeritus; Hashemi, J.; Jurewicz, J. T., Emeritus; Kang, Y.; Kim, M.; LeBlanc, L. L., Emeritus; Lin, Y. K., Emeritus; Mahfuz, H.; Masory, O.; Merk. V.; Moslemian, D.; Nayak, A.; Presuel-Moreno, F.;  Salivar, G. C.; Schock, S.; Stevens, K. K., Emeritus; Su, T. C.; Tennant, J. S., Emeritus; Tsai, C. T.; VanZwieten, J.; Verma, S.

The Department of Ocean and Mechanical Engineering offers programs of study leading to the following degrees:

Ocean Engineering: Bachelor of Science in Ocean Engineering (B.S.O.E.), Master of Science (M.S.) with major in Ocean Engineering (thesis and non-thesis options), Master of Science (M.S.) with major in Ocean Engineering and minor in Business, and Doctor of Philosophy (Ph.D.) with major in Ocean Engineering.

Mechanical Engineering: Bachelor of Science in Mechanical Engineering (B.S.M.E.), Master of Science (M.S.) with major in Mechanical Engineering (thesis and non-thesis options), Master of Science (M.S.) with major in Mechanical Engineering and minor in Business, Master of Science (M.S.) with major in Mechanical Engineering and minor in Engineering Management, and Doctor of Philosophy (Ph.D.) with major in Mechanical Engineering.

To encourage undergraduates to pursue a graduate education, the department also offers joint B.S.O.E. to M.S. and joint B.S.M.E. to M.S. degree programs that permit students to complete both a bachelor’s and a master’s degree within five years. A B.S.M.E. to M.S. in Artificial Intelligence combined program is also available. Two additional combined degree programs, B.A. or B.S. in Biological and Physical Sciences to M.S. in Ocean or Mechanical Engineering, are offered in partnership with the Wilkes Honors College.

Link to Mechanical Engineering Programs

Ocean Engineering

Link to Certificate Programs, Undergraduate

Link to Combined Programs

Link to Master's Program

Link to Aerospace Engineering Graduate Certificate

Link to Corrosion Graduate Certificate

Link to Offshore Engineering Graduate Certificate

Link to Doctoral Program

Bachelor's Program

Ocean Engineering
Bachelor of Science (B.S.)

(Minimum of 127  credits required)

The Ocean Engineering program provides a comprehensive, practical curriculum in science and engineering that prepares the student to perform engineering tasks in the ocean environment. Graduates of this program are prepared for professional positions in industry and government or for graduate studies in engineering. At the lower-division level, the program requires a firm foundation in English composition and grammar, mathematics and chemistry, plus courses in the social sciences and arts and humanities to give the student a balanced educational background for the engineering profession. This coursework is provided in the pre-engineering or pre-ocean engineering (university parallel) programs of community or state colleges and the lower-division pre-engineering programs of most universities.

The Ocean Engineering program includes integrated courses encompassing the basic engineering sciences and mathematics, study of the ocean environment and its relationship to other sciences and engineering, processing of ocean engineering data, the engineering design of components and systems for use in the ocean and the application of these elements to the solution of engineering problems connected with work in or on the ocean and in developing the resources of the oceans.

Emphasis is placed on the solution of engineering problems related to the ocean in such areas as underwater acoustics, marine vehicles, environmental engineering, fluid mechanics, structures and materials. An optional Cooperative Work Study program that provides practical experience in industry or government laboratories is available to students who qualify.

Engineering design is an important part of the program, including a significant design experience. Seniors complete the final year of their program in an oceanside environment at SeaTech, the department's Institute for Ocean and Systems Engineering on the Dania Beach campus.

The Ocean Engineering program at FAU was designated a "State University System Program of Distinction" by the Board of Regents in October 1974. The designation was one of the five originally made throughout the entire state system. Founded in 1965 as the first such undergraduate program in the nation, the Ocean Engineering program at FAU is still one of the largest in the country.

Mission Statement and Program Goal
The Ocean Engineering program's mission is to provide an outstanding ocean engineering program for learning and research and to prepare individuals to meet national and international engineering challenges in the ocean environment.

The goal of the program is to develop and offer a comprehensive and broad curriculum in science and engineering that prepares a student to, upon graduation, effectively perform engineering tasks in the ocean environment or to successfully pursue higher studies and research in engineering.

Ocean Engineering Program Educational Objectives
Graduates of the Ocean Engineering baccalaureate program at the Florida Atlantic University, within a few years after graduation, will:

1. Demonstrate the ability to carry out engineering tasks in the multidisciplinary field of ocean engineering;
2. Make meaningful contributions in terms of design, development and integration of engineering systems, particularly for applications in the ocean environment;
3. Pursue further study for the graduate degree and/or participate in professional societies;
4. Develop and exhibit leadership qualities in their engineering work;
5. Understand various complexities and issues of the contemporary society and make professional contributions in the larger and long‐term interest of the society.

Educational Outcomes for Student Performance
The program will meet the above objectives by establishing the following educational outcomes for
student performance. At the time of graduation, the students will attain the following:

1. An ability to identify, formulate and solve complex engineering problems by applying principles of engineering, science and mathematics;
2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety and welfare, as well as global, cultural, social, environmental and economic factors;
3. An ability to communicate effectively with a range of audiences;
4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental and societal contexts;
5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks and meet objectives;
6. An ability to develop and conduct appropriate experimentation, analyze and interpret data and use engineering judgment to draw conclusions;
7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Academic Advising
It is an Ocean Engineering program requirement that all students, including incoming freshmen, meet with their Ocean Engineering academic advisor every semester prior to registering for classes.

Admission and Degree Requirements
All students must meet the minimum admission requirements of the University. Please refer to the Admissions section of this catalog.

All students must meet the preprofessional requirements listed above in order to be accepted into the Ocean Engineering program.

Transfer students who have an A.A. degree are expected to have completed the following course requirements (deficiencies may be taken at FAU); see the Degree Requirements section of this catalog for the required minimum grades.

Prerequisite Coursework for Transfer Students
Students transferring to Florida Atlantic University must complete both lower-division requirements (including the requirements of the General Education Program) and requirements for the college and major. Lower-division requirements may be completed through the A.A. degree from any Florida public college, university or community college or through equivalent coursework at another regionally accredited institution. Before transferring and to ensure timely progress toward the baccalaureate degree, students must also complete the prerequisite courses for their major as outlined in the Transition Guides .

All courses not approved by the Florida Statewide Course Numbering System that will be used to satisfy requirements will be evaluated individually on the basis of content and will require a catalog course description and a copy of the syllabus for assessment.

Graduation Requirements

1. Students who enter Florida Atlantic University as freshmen must meet all baccalaureate degree requirements of the University, including the General Education Program requirements. Students who transfer to FAU with 30 or more accepted credits must meet all baccalaureate degree requirements of the University, including the General Education and Gordon Rule requirements.
2.  Students must maintain an overall 2.0 grade point average in all courses. A grade of "C" or better must be received in all engineering, mathematics, chemistry and physics courses required for the degree. A grade of "C" or better means a grade of "C" or "C+" and excludes a grade of "C-." Courses taken as pass/fail will not be accepted for any required Ocean Engineering courses.
   
   A subsequent course may not be taken if a required grade of "C" or better is not earned in the prerequisite course. With appropriate justification, a prerequisite waiver may be granted by the Ocean Engineering petitions committee. Prerequisite and corequisite courses must be taken in the proper sequence.
   
   
3. Students must satisfy the following curriculum requirements; however, since the curriculum is subject to revision, students should check with the Ocean Engineering program for the latest requirements.
   
   

Ocean Engineering Core
C for Engineers	EEL 2161	3
Electro-Mechanical Devices	EGM 4045	3
Fundamentals of Engineering	EGN 1002	3
Statics	EGN 3311	3
Dynamics	EGN 3321	3
Strength of Materials	EGN 3331	3
Engineering Thermodynamics	EGN 3343	3
Engineering Materials 1	EGN 3365	3
Vibration Synthesis and Analysis	EGN 4323	3
Dynamic Systems	EGN 4432	3
Fabrication of OE Systems	EOC 2801	1
Ocean Engineering Fluid Mechanics	EOC 3123	4
Ocean Engineering Lab	EOC 3130L	3
Materials 1 – Marine Topics	EOC 3213	1
Acoustics for Ocean Engineers	EOC 3306	3
Structural Analysis	EOC 3410C	3
Ocean Thermal Systems	EOC 4193	3
Ocean Wave Mechanics	EOC 4422	3
Ocean and Environmental Data Analysis	EOC 4631C	3
RI: Ocean Engineering Systems Control and Design	EOC 4804	3
RI: Ocean Engineering Systems Control and Design Laboratory	EOC 4804L	4
Choose one of the following four junior elective courses:
Innovative Sensing and Actuation Technology	EGN 4670C	3
Directed Independent Research in Engineering and Computer Science	EGN 4915	3
Finite Element Analysis for Engineering Design	EGM 4350	3
Professional Internship	IDS 3949	3
Choose two of the following four courses:
Ocean Structures	EOC 4412	3
Ship Hydrodynamics	EOC 4124	3
Underwater Acoustics	EOC 4307C	3
Marine Materials and Corrosion	EOC 4201C	3

 

Non-Engineering Core (grade of "C" or higher required)
Engineering Graphics	EGN 1111C	3
Oceanography	OCE 3008	3

The courses during the last year of study are taught at the SeaTech campus in Dania Beach. Students
may not deviate from either the courses defined or the sequence of courses defined for the Ocean Engineering curriculum. In exceptional cases, deviations may be approved in advance by petition to the Ocean Engineering petitions committee. Courses taken in violation of this policy cannot be counted toward the Bachelor of Science in Ocean Engineering degree.

Internship Programs
Internships are available at marine industries and naval research laboratories. Although an internship is not a requirement of the Bachelor of Science in Ocean Engineering degree program, students are strongly encouraged to make use of this opportunity and complete an internship prior to their senior year. For information, students should contact their Ocean Engineering academic advisor.

Sample Four-Year Program of Study for Bachelor of Science in Ocean Engineering

First Year, Fall (14 credits)
College Writing 1*	ENC 1101	3
General Chemistry 1	CHM 2045	3
General Chemistry 1 Lab	CHM 2045L	1
Calculus with Analytic Geometry 1	MAC 2311	4
Fundamentals of Engineering	EGN 1002	3

 

First Year, Spring (14 credits)
College Writing 2*	ENC 1102	3
Oceanography	OCE 3008	3
General Physics for Engineers 1	PHY 2048	3
General Physics 1 Lab	PHY 2048L	1
Calculus with Analytic Geometry 2	MAC 2312	4

 

First Year, Summer (7 credits)
Calculus with Analytic Geometry 3	MAC 2313	4
Foundations of Humanities course		3

 

Second Year, Fall (13 credits)
Engineering Math 1	MAP 3305	3
Physics for Engineers 2	PHY 2044	3
General Physics 2 Lab	PHY 2049L	1
Statics	EGN 3311	3
C for Engineers	EEL 2161	3

 

Second Year, Spring ( 15 credits)
Engineering Graphics***	EGN 1111C	3
Dynamics	EGN 3321	3
Strength of Materials	EGN 3331	3
Engineering Thermodynamics	EGN 3343	3
Ocean Engineering Lab	EOC 3130L	3

 

Second Year, Summer (6 credits)
Electro-Mechanical Devices	EGM 4045	3
Foundations of Humanities course*		3

 

Third Year, Fall (13 credits)
Engineering Materials 1	EGN 3365	3
Vibrations Synthesis and Analysis	EGN 4323	3
Ocean Engineering Fluid Mechanics	EOC 3123	4
Foundations of Global Citizenship course*		3

 

Third Year, Spring (13 credits)
Dynamic Systems	EGN 4322	3
Fabrication of Ocean Engineering Systems	EOC 2801	1
Acoustics for Ocean Engineers	EOC 3306	3
Structural Analysis	EOC 3410C	3
Ship Hydrodynamics	EOC 4124	3  or
Marine Materials and Corrosion	EOC 4201C	3

 

Third Year, Summer (6 credits)
Foundations of Global Citizenship course	3
Foundations of Society and Human Behavior course	3

 

Fourth Year, Fall (13 credits)
Materials 1 - Marine Topics	EOC 3213	1
Ocean Thermal Systems	EOC 4193	3
Ocean Wave Mechanics	EOC 4422	3
Ocean and Environmental Data Analysis	EOC 4631C	3
RI: Ocean Engineering Systems Control and Design	EOC 4804	3

 

Fourth Year, Spring (13 credits)
Finite Element Analysis for Engineering Design	EGM 4350	3  or
Innovative Sensing and Actuation Technologies	EGN 4670C	3 or
Professional Internship	IDS 3949	3 or
Directed Independent Research in Engineering and Computer Science	EGN 4915	3
Underwater Acoustics****	EOC 4307C	3  or
Ocean Structures****	EOC 4412	3
RI: Ocean Engineering Systems Control and Design Laboratory	EOC 4804L	4
Foundations of Society and Human Behavior course		3
Total		127

* WAC (Gordon Rule) course.
** Engineering Graphics should typically be taken at FAU.
*** Choose one courses from these two courses.
**** Choose two courses from these four senior elective courses.

Certificate Programs

Aerospace Engineering
undergraduate certificate

(Minimum of 15 credits required)

The undergraduate certificate in Aerospace Engineering, offered by the Ocean and Mechanical Engineering Department, is designed to combine broad engineering disciplines with knowledge of engineering principles specific to aerospace engineering. This 15-credit program supports students wishing to work in aerospace companies and government agencies, such as the National Aeronautics and Space Administration.

Curriculum
To earn this certificate, a student must successfully complete the following 15 credits:

1. Three courses (9 credits) in the field of aerospace engineering:
   

   Aerodynamics	EAS 4101	3
   Flight Dynamics	EAS 4105	3
   Principles of Turbomachinery	EML 4401	3  or
   Turbomachinery	EML 6402	3

2. A faculty-mentored design/research project with elements of aerospace engineering (3 credits), carried out either as part of:
   

   RI: Design Project	EML 4551	3  or
   Directed Independent Research in Engineering and Computer Science	EGN 4915	3

3. One course (3 credits) from the following:
   

   Finite Element Analysis for Engineering Design	EGM 4350	3
   Engineering Materials 1	EGN 3365	3
   Dynamic Systems	EGN 4432	3
   Fluid Mechanics	EML 3701	3
   Applied Thermal-Fluid Systems	EML 4127	3
   Machine Design	EML 4500	3

Biomedical Engineering
undergraduate certificate

(Minimum of 15 credits required)

The undergraduate certificate in Biomedical Engineering, offered by the Ocean and Mechanical Engineering Department, is designed to integrate broad engineering disciplines with interdisciplinary knowledge of science and healthcare specific to biomedical engineering. The main mission of this 15-credit program is to educate and prepare students in the fields of biomedical engineering, science and healthcare such that they can be placed in the best medical, graduate and industry positions across the globe.

Curriculum
To earn this certificate, a student must successfully complete the following 15 credits:

1.  Three courses (9 credits) in the field of biomedical engineering:
   

   Biomaterials	BME 4100	3 or
   Biomaterials	BME 6105	3
   Introduction to Microfluidics and BioMEMS	BME 4581	3  or
   Advanced Topics in Microfluidics and BioMEMS	BME 6585	3
   Neural Engineering	BME 4361	3

2. A faculty-mentored design/research project with elements of biomedical engineering (3 credits), carried out either as part of:
   

   RI: Design Project	EML 4551	3  or
   Directed Independent Research in Engineering and Computer Science	EGN 4915	3

3. One course (3 credits) from the following:
   

   Intermediate Strength of Materials	EGM 4523C	3
   Engineering Materials 1	EGN 3365	3
   Fluid Mechanics	EML 3701	3

Marine Materials and Offshore Engineering
undergraduate certificate

(Minimum of 15 credits required)

The undergraduate certificate in Marine Materials and Offshore Engineering, offered by the Ocean and Mechanical Engineering Department, is designed to combine broad engineering disciplines with knowledge of engineering principles specific to materials and structures. This 15-credit program supports the preparation of students to work at ocean engineering/maritime companies and governmental agencies that specialize in marine materials and offshore structures.

To earn this certificate, a student must successfully complete the following:

Strength of Materials	EGN 3331	3
Two courses (6 credits) in the field of engineering materials and structures
Marine Materials and Corrosion	EOC 4201C	3
Ocean Structures	EOC 4412	3
One course (3 credits) from the following list