CS540, Summer 2025
Department of Computer Sciences
University of Wisconsin-Madison
| Date | Topic | Reading materials | Assignments | Due |
| Jun 17, 18 | N-gram Language Model | L1 and RN23.1, 20.2 | HW1 | - |
| Jun 19, 20 | Natural Language Processing and Naive Bayes, Principal Component Analysis | L2, L3 and RN21.7 | HW2 | - |
| Jun 24, 25 | Hierarchical Clustering, K Means Clustering, K-Nearest Neighbors | L4, L5 and RN20.3 | HW3 | - |
| Jun 26, 27 | Decision Trees, Perceptron, Logistic Regression | L6, L7 and RN19.3, 19.7 | HW4 | - |
| Jul 1, 2 | Linear Regression, Support Vector Machines | L8, L9 and RN16.9 | HW5 | - |
| Jul 3, 4 | Neural Network, Gradient Descent | L10, L11 and RN21.1, 21.2 | C1 | - |
| Jul 8, 9 | Computer Vision, Convolutional Neural Network | L12, L13 and RN25.3, 21.3 | - | - |
| Jul 10, 11 | Recurrent Neural Network, Midterm Exam Review | L14, L15 | - | - |
| Jul 15, 16 | Breadth and Depth First Search, Iterative Deepening Search | L16, L17 and RN3.3, 3.4 | HW6 | - |
| Jul 17, 18 | Uniform Cost and Best First Greedy Search, A* Search | L18, L19 and RN3.5, 3.6 | HW7 | - |
| Jul 22, 23 | Game Theory, Minimax and Alpha-Beta Pruning | L20, L21 and RN5.1, 5.2 | HW8 | - |
| Jul 24, 25 | Markov Decision Process, Reinforcement Learning | L22, L23 and RN22.2, 22.3 | HW9 | - |
| Jul 29, 30 | Deep Reinforcement Learning | L24 and RN4.1 | HW10 | - |
| Jul 31, 1 | Hill-Climbing and Simulated Annealing, Genetic Algorithm | L25, L26 | C2 | - |
| Aug 5, 6 | Final Exam Review | L27 | - | - |
| Aug 7, 8 | Final Exam | L27 | - | - |
Last Updated: March 26, 2025 at 4:13 PM