CS540 Introduction to Artificial Intelligence

CS540, Summer 2026

Department of Computer Sciences

University of Wisconsin-Madison

# Schedule (Subject to Change)

Slides will be updated the week they are covered.

Date	Topic	Lecture Notes	Assignments
Jun 16, 17	Perceptron, Logistic Regression	L1, L2	A1
Jun 18, 19	Neural Network, Gradient Descent	L3, L4	A2
Jun 23, 24	Support Vector Machines, Decision Trees, K-Nearest Neighbors	L5, L6	A3
Jun 25, 26	Computer Vision, Convolutional Neural Network	L7, L8	A4
Jun 30, 1	Natural Language Processing, Naive Bayes	L9, L10	A5
Jul 2, 3	Recurrent Neural Network, Large Language Models	L11, L12	-
Jul 7, 8	Review	L13, L14	-
Jul 9, 10	Project Competition	-	-
Jul 14, 15	Hierarchical Clustering, K Means Clustering, Principal Component Analysis	L15, L16	A6
Jul 16, 17	Iterative Deepening Search, A* Search	L17, L18	A7
Jul 21, 22	Game Theory, Minimax and Alpha-Beta Pruning	L19, L20	A8
Jul 23, 24	Markov Decision Process, Reinforcement Learning	L21, L22	A9
Jul 28, 29	Deep Reinforcement Learning, Multi-Agent System	L23, L24	A10
Jul 30, 31	Hill Climbing, Simulated Annealing, Genetic Algorithm	L25, L26	-
Aug 4, 5	Review	L27, L28	-
Aug 6, 7	Project Competition	-	-

📗 (RN) Russell and Norvig: Chapters from the optional textbook: Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig Link.

📗 Math and Statistics Review:

➩ Professor Jerry Zhu's "math crib sheet" (all the math you need to know for the course): Link.

➩ Calculus (for references only): Link.

➩ Linear Algebra (for references only): Link.

➩ Probability and Statistics (for references only): Link.

📗 Python Crash Course: PPTX

Last Updated: June 12, 2026 at 2:16 AM