Exploring Artificial Intelligence
I am an assistant teaching professor at the University of Notre Dame. I mostly teach courses on artificial intelligence. This landing page is intended to serve both as a collection of my courses, and a list of materials that I myself am learning from. In addition to this ever lengthening list, I also maintain a modest library of books related to the topic, and encourage students to browse the library and come borrow books from me if they're interested.
Visualizations
Explore core AI algorithms through interactive visualizations. These tools are designed to help you understand how fundamental algorithms work by watching them execute step-by-step.
Courses
CSE 10124 · Building ChatGPT
- Updating lab and hw templates Feb 04, 2026
- Updating lab template Feb 04, 2026
- Trying to force build? Jan 29, 2026
- Trying to fix teaser height Jan 29, 2026
CSE 30124 · Introduction to Artificial Intelligence
- Trying to rebuild site, missing readings Feb 02, 2026
- Merge pull request #2 from wtheisen/claude/dtree-visualizer-Ws0Or Jan 30, 2026
- Add Design Mode to Decision Tree Visualizer Jan 30, 2026
- Add Decision Tree Visualizer Jan 30, 2026
Learning
This is a list of the things I watch, read, or listen to that I find interesting!
![What the Books Get Wrong about AI [Double Descent] thumbnail](/static/img/youtube_thumbnails/what_the_books_get_wrong_about_ai_double_descent.jpg)
Library
Hands-On Large Language Models: Language Understanding and Generation
Computers and Thought
Linear Algebra with Applications (Tenth Edition)
Reinforcement Learning: An Introduction (Second Edition)
The StatQuest Illustrated Guide to Neural Networks and AI
Deep Learning: A Visual Approach
Artificial Intelligence: Foundations of Computational Agents
The Alignment Problem: Machine Learning and Human Values
The Singularity is Nearer
Thinking Fast and Slow
Artificial Intelligence
You Look Like a Thing and I Love You
Weapons of Math Destruction
The Quest for Artificial Intelligence
Deep Learning: Foundations and Concepts
Nexus: A Brief History of Information Networks from the Stone Age to AI
Empire of AI
Probabilistic Machine Learning: An Introduction
An Introduction to Statistical Learning with Applications in Python
Linear Algebra and Learning from Data
Artificial Intelligence: A Modern Approach (Fourth Edition)
Artificial Neural Networks: Paradigms, Applications, and Hardware Implementations
Not with a Bug but with a Sticker
Differential Equations and Linear Algebra
Convex Optimization
Partial Differential Equations for Scientists and Engineers
