COMP 372: Artificial Intelligence, Fall 2018

Administrivia

Resources

Schedule

Date Topic Required Reading Notes Assignments Out Slides
8/23 Introduction, agents chaps 1 and 2 slides
8/28 State space search: uninformed search 3.1-3.4 Project 0, due on Moodle on 9/5, 11:55pm slides
8/30 State-space search: more uninformed search 3.5 slides
9/4 State-space search: heuristic search, A* algorithm 3.6
9/6 Adversarial search: minimax algorithm 5.1, 5.2 Project 1, due on Moodle on Thu 9/20, 11:55pm
Homework 1, due at the start of class on Thu 9/13
slides
9/11 Adversarial search: alpha-beta pruning 5.3 slides
9/13 Adversarial search: heuristics evaluation functions 5.4, 5.5 slides
9/18 Probability I
9/20 Probability II
9/25 Bayes nets I
9/27 Bayes nets II Project 2, due on Moodle on Thu 10/11, 11:55pm
Homework 2, due at the start of class on Tue 10/9
10/2 Bayes nets III
10/4 Statistical inference: ML & MAP
10/9 Statistical inference: Combining evidence
10/11 Statistical inference: Naive bayes classifiers
10/16 Fall break
10/18 Markov chains
10/23 Midterm
10/25 Hidden Markov models I
10/30 Hidden Markov models II
11/1 Reinforcement learning
11/6 Reinforcement learning II
11/8 Reinforcement learning III
11/13 Reinforcement learning IV
11/15 Reinforcement learning V
11/20 Neural networks I
11/22 Thanksgiving
11/27 Neural networks II
11/29 Neural networks III
12/4 Wrapup