COMP 372: Artificial Intelligence, Fall 2014

Administrivia

Schedule

Date Topic Required Reading Notes Assignments Out Slides
8/28 Introduction, history of AI, agents chapters 1, 2   Project 0, due on Moodle on 9/4, 11:59pm slides
9/2 State space search, uninformed search 3.1-3.4     slides
9/4 Continue uninformed search, heuristic search 3.5   Project 1, due on Moodle on 9/21, 11:59pm slides
9/9 Finish search (heuristics, DFS, iterative deepening) 3.6     slides
9/11 Local search 4.1     slides
9/16 Constraint satisfaction problems 6.1-6.4   Homework 1, due in hard copy at the start of class on 9/30. slides
9/18 CSP wrapup, adversarial search I 5.1-5.2     slides
9/23 Adversarial search II: alpha-beta pruning 5.3     slides
9/25 Adversarial search III: heuristics 5.4, 5.5   Project 2, due on Moodle on 10/9, 11:59pm slides
9/30 Probability I 13.1-13.3     (no slides)
10/2 Probability II 13.4-13.5     (no slides)
10/7 Bayes nets I 14.1, 14.2     (no slides)
10/9 Bayes nets II (exact inference) 14.3     (no slides)
10/14 Bayes nets III (approximate inference) 14.4   Homework 2, due in hard copy at the start of class on 10/23. (no slides)
10/16 Statistical inference: ML and MAP       slides
10/21 (Fall break)        
10/23 Statistical inference: Combining evidence       slides
10/28 (Midterm)        
10/30 (No class, prof at conference)        
11/4 Naive Bayes classifiers     Project 3, due on Moodle on 11/18, 11:59pm slides
11/6 Markov chains       slides
11/11 Hidden Markov models       slides
11/13 More HMMs       slides
11/18 Reinforcement learning     Homework 3, due in hard copy at the start of class on 12/2. slides
11/20 RL: Value iteration       slides
11/25 RL: Value iteration practice       slides
11/27 (Thanksgiving)        
12/2 RL: Q-learning     Project 4, due on Moodle on 12/17, 11:59pm slides
12/4 RL: Q-learning practice       slides
12/9 Wrapup       slides