GENAI FOR LEARNING AND STUDENT SUCCESS Bootcamp
This bootcamp teaches students how to make the best use of Generative AI in their daily academic work. We’ll focus on real situations students face in their courses, like solving problems, writing reports, studying tough concepts, analyzing data, and doing research. Along the way, we’ll look closely at the common mistakes students make when using GenAI. By the end of this course, students will know how to work with GenAI in smart, responsible ways. They’ll understand where it can save time, where it can support thinking, and where it can lead them off track if they’re not careful. This is a hands-on, practical bootcamp designed to help students think clearly, work efficiently, and avoid common GenAI pitfalls in learning and education.
Session Length: Monday, August 11th - Friday, August 15th
NON-FAU PARTICIPANT REGISTRATION
Please note that each class will be recorded. The recordings will be available online for 30 days to ensure that participants can access them if they miss a class or want to review any of the sessions.
Course Outline
Length: One week (Monday-Friday, 2 hours/day)
Cost: FREE! For FAU Students, Faculty, & Staff | Available for Non-FAU Students, Faculty, or Staff | NON- FAU participants will receive zoom session information via registered email.
Time: 12:00 P.M. - 2:00 P.M.
Location: Engineering East (EE96) Room 207
Instructor: Dr. Fernando Koch
Email: kochf@fau.edu
Instructor Bio: Dr. Fernando Koch is a Research Professor at Florida Atlantic University, where he leads The Generative Intelligence Lab. He has dedicated his career to advancing Artificial Intelligence, Multi-Agent Systems, and Edge AI, holding a Ph.D. in Computer Sciences from Utrecht University. His professional journey spans academia, industry, and startups, where he serves as Technical Advisor to multiple entrepreneurs. He has held positions with IBM Research, Samsung Research, Melbourne University, Korea University, and others. His scholarly contributions include six books, 80+ scientific papers, and 100+ patent applications. He is teaching COT 6930 - Generative AI in Software Development Lifecycles and heads The Generative Intelligence Lab (https://generativeintelligencelab.ai/)
Outline and tentative schedule:
The course will consist of 5 modules (of 2 hours each). Each module will have a combination of lectures, demos, and discussions, with ample opportunity for questions.
Module 1: GenAI and Critical Thinking
Module 2: GenAI and Learning
Module 3: GenAI and Communication
Module 4: GenAI and Research
Module 5: GenAI and Data Literacy
Working Environment:
- You need a computer
- You need a Conversation AI Service (e.g. ChatGPT, Claude, ChatFAU, other)
- We will provide a Discord Server where you will subscribe
- You can install Discord App or access through Web)_
- We will execute the exercises as ‘Collaborative Exercises’