Artificial Intelligence

TU TH 3-4:15 Spring 2009 Campanella 557 CS341 Stella X. Yu Computer Science Department Boston College Logistics Syllabus

		Overview
1	TH 01/15/09	Introduction	1. Background
2	TU 01/20/09	MATLAB	2. MATLAB Basics
3	TH 01/22/09	Linear Algebra	3. Matrix Algebra Basics
		Graph Search
4	TU 01/27/09	Breadth First Search
5	TH 01/29/09	Depth First Search	4. Uninformed Navigation
6	TU 02/03/09	Greedy Search
7	TH 02/05/09	A* Search	5. Informed Navigation
8	TU 02/10/09	Adversarial Search
9	TH 02/12/09	Computational Game Theory	6. Reversi by Search
		Probabilistic Reasoning
10	TU 02/17/09	Uncertainty
11	TH 02/19/09	Bayesian Networks	7. Inference by Probability
12	TU 02/24/09	Exact Bayesian Networks
13	TH 02/26/09	Approximate Bayesian Networks
	TU 03/03/09 TH 03/05/09	Spring Vacation
14	TU 03/10/09	Markov Chains
15	TH 03/12/09	Markovian Inference	8. Inference Over Time
16	TU 03/17/09	Hidden Markov Chains
17	TH 03/19/09	Smoothing and Viterbi	9. Investment in Google
18	TU 03/24/09	Kalman Filtering
19	TH 03/26/09	Particle Filtering
20	TU 03/31/09	Speech Recognition
		Machine Learning
21	TH 04/02/09	Statistical Learning
22	TU 04/07/09	Neural Networks
	TH 04/09/09	Easter Weekend
23	TU 04/14/09	Expectation Maximization	10. Point Set Clustering
24	TH 04/16/09	Principal Component Analysis
25	TU 04/21/09	Linear Discriminant Analysis	11. Digit Recognition
		Read the Classics
26	TH 04/23/09	Turing Machine
27	TU 04/28/09	Robot Intelligence
28	TH 04/30/09	Computational Vision
		Final Exam
29	TH 05/07/09	Final Discussions

Last updated by Stella X. Yu on 05/11/2009.