CS540, Fall 2024
Department of Computer Sciences
University of Wisconsin-Madison
| Date | Topic | Reading materials | Assignments | Due |
| Sep 2 | N-gram Language Model | L1 and RN23.1, 20.2 | HW1 | Sep 16 |
| Sep 9 | Natural Language Processing and Naive Bayes, Principal Component Analysis | L2, L3 and RN21.7 | HW2 | Sep 23 |
| Sep 16 | Hierarchical Clustering, K Means Clustering, K-Nearest Neighbors | L4, L5 and RN20.3 | HW3 | Sep 30 |
| Sep 23 | Decision Trees, Perceptron, Logistic Regression | L6, L7 and RN19.3, 19.7 | HW4 | Oct 7 |
| Sep 30 | Linear Regression, Support Vector Machines | L8, L9 and RN16.9 | HW5 | Oct 14 |
| Oct 7 | Neural Network, Gradient Descent | L10, L11 and RN21.1, 21.2 | HW6 | Nov 4 |
| Oct 14 | Computer Vision, Convolutional Neural Network | L12, L13 and RN25.3, 21.3 | HW7 | Nov 13 |
| Oct 21 | Recurrent Neural Network, Midterm Exam Review | L14, L15 | - | - |
| Oct 28 | Breadth and Depth First Search, Iterative Deepening Search | L16, L17 and RN3.3, 3.4 | - | - |
| Nov 4 | Uniform Cost and Best First Greedy Search, A* Search | L18, L19 and RN3.5, 3.6 | HW8 | Nov 18 |
| Nov 11 | Game Theory, Minimax and Alpha-Beta Pruning | L20, L21 and RN5.1, 5.2 | HW9 | Nov 25 |
| Nov 18 | Markov Decision Process, Reinforcement Learning | L22, L23 and RN22.2, 22.3 | HW10 | Dec 9 |
| Nov 25 | Hill-Climbing and Simulated Annealing, Genetic Algorithm | L24, L25 and RN4.1 | - | - |
| Dec 2 | Adversarial Machine Learning, Ethics and Trust in AI | L26, L27 | - | - |
| Dec 9 | Final Exam Review | L28 | - | - |
Last Updated: November 18, 2024 at 11:42 PM