Generative AI Teaching and Learning Materials
Welcome to an Experimental Journey in GenAI!
If you’ve landed here, you're likely excited about learning and teaching Generative AI. I’m thrilled to share this experimental page crafted using GenAI tools.
Having taught these concepts at UW Foster’s Master of Information Systems and undergraduate programs and delivered guest lectures to a diverse audience, including MBAs, Executive MBAs, PhDs, undergraduates, and entrepreneurship programs, I've seen firsthand the transformative power of innovative teaching.
This course was a great success and was recognized at the University of Washington with the Charles E. Summer Memorial Teaching Award and the Master of Science in Information Systems Teaching and Innovation Excellence Award. Throughout the course, I blended the latest AI news, live demos, technical skills, tutorials, discussions, inspirational content, and life lessons. Over just three weeks, students demonstrated remarkable growth, each presenting a unique business idea and a live demo of a GenAI tool they built and deployed.
Let's explore and be inspired by what’s possible with GenAI!
New Tutorial! Combining LLMs and OR/MS for Smarter Decision-Making
Check out these tutorial slides on combining large language models and OR/MS for Smarter Decision-Making. My colleagues Segev Wasserkrug and Wei Sun (IBM) and I gave this tutorial at the INFORMS' 2024 annual meeting. You can find the written tutorial [🔗 here] or published online on INFORMS' website [🔗 here]. It covers:
How do large language models work?
Making better decisions by combining LLMs and OR/MS
Using LLMs in the creation of optimization solutions
Using LLMs as part of an analytics pipeline
Using LLMs as a user interface
Tips, take-aways, and frontiers
Segev Wasserkrug, Léonard Boussioux, Wei Sun (2024) Combining Large Language Models and OR/MS to Make Smarter Decisions. INFORMS TutORials in Operations Research 1-49.
Content from the Graduate GenAI Course
Syllabus: [🔗 here].
Resources to learn more about GenAI: [🔗 here].
CustomGPT to assist students in their learning (can give tutorials, interrogate, and explain): [🔗 here - GPT4 required].
Six 3-hour lectures below.
A note on Artificial Intelligence [🔗 here] and a note on Large Language Models [🔗 here].
Example of Homework highlighting practices of Generative AI: [🔗 here].
I have developed numerous other resources. If you're interested, please email me at leobix@uw.edu :)
I am also preparing a short paper explaining my teaching methodology and describing the outcomes.
If you consider leveraging this material, you can reference it as:
Boussioux, Leonard (2024). Forging AI Champions: Bridging Human Creativity and Generative AI in the Classroom. Foster School of Business, University of Washington. Accessed at www.leobix.us/genai.
New! My latest slide deck for my INFORMS GenAI Series Talk
Leveraging Generative AI for Creative Problem-Solving in Operations Research and Management Science
New! Create your Website in 15 Minutes GenAI Tutorial
Check out this video tutorial to create your website in 15 minutes using Claude, ChatGPT, DALL-E, Runway, Replit, and other GenAI tools! It is a good example of an activity to teach GenAI in class and illustrate human-AI collaboration and the usage of multiple tools.
Media communications about my course
Foster Magazine (article by Suzanne Lee)
GeekWire Podcast (interviewed by Todd Bishop)
Lecture slide decks (for powerpoint version or undergraduate version, please email me: leobix@uw.edu)
Lecture 1: AI and the Future of Work
Lecture 2: AI and the Future of Human Creativity
Lecture 3: Intro to Deep Learning
Lecture 4: Fundamentals of Deep Learning for Computer Vision and Transfer Learning
Lecture 5: Opening the Large Language Model Black Box
Lecture 6: Multimodality and Diffusion Models for Text-to-Image Generation