Computer Science

Lecture 16: Data Compression and Shannon's Noiseless Coding Theorem

Generative AI: Text-to-Image Models

More on Generating Functions

Error-Correcting Codes: Hamming Codes

Generative AI: Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

Invistics Case Study: Drug Diversion

Puzzles

Where Do Game Ideas Come From?

Transmitting Information Reliably over a Noisy Channel & Shannon's Noisy Coding Theorem

Lecture 15: Max-Flow Min-Cut Theorem

Tail Bounds

Introduction to Linear Programming

Fiction and Stories in Games

Lecture 9: Chernoff Bounds

Deep Learning for Natural Language: Transformers, Self-Supervised Learning

Generative AI: Adapting LLMs with Parameter-Efficient Fine-Tuning

Abstraction and Simulation

Games as Teaching Tools

AI + Open Education Initiative: Professional Education and the Judicious Use of AI

Lecture 2: Independence and Conditioning

Duality in Linear Programming

Knowing Your Players

Intelligent Tutors

Lecture 3: Inclusion-Exclusion