hajim urcs
Computer Science @ Rochester

CSC242: Introduction to Artificial Intelligence
Spring 2011

Syllabus

This syllabus is subject to change! The official version is maintained on Blackboard.

Last updated: 3 Jan 2011

# DOW MM DD Section Topic Reading
1 R Jan 13 Welcome Introduction 1
2 T Jan 18 Search Basic search 3.1-3.4
3 R Jan 20 Search strategies 3.5-3.6 Assignment 1
4 T Jan 25 Local search 4.1
5 R Jan 27 Adversarial search 5
6 T Feb 1 Constraint satisfaction 6
7 R Feb 3 Knowledge Propositional logic 7.1-7.4 Assignment 2
8 T Feb 8 Theorem proving 7.5
9 R Feb 10 First-order logic 8, some of 9
10 T Feb 15 Planning 10, bits from 11
11 R Feb 17 Agents 2, 7.7, 11.3
12 T Feb 22 Midterm
13 R Feb 24 Uncertainty Probabilistic Reasoning 13 Assignment 3
14 T Mar 1 Uncertain Inference - Bayes Nets 14-14.5
15 R Mar 3 Probabilistic Reasoning over Time - HMMs 15-15.3
T Mar 8 Spring break
R Mar 10 Spring break
16 T Mar 15 Decision Making Under Uncertainty 16-16.2, 17-17.3
17 R Mar 17 POMDPs & Game Theory 17.4-17.5
18 T Mar 22 Learning Learning from Examples 18-18.3 Assignment 4
19 R Mar 24 Learning methods - Regression, NNs, SVMs 18.6-18.9
20 T Mar 29 Learning Probabilistic Models 20
21 R Mar 31 Reinforcement Learning 21
22 T Apr 5 Review/Catchup
23 R Apr 7 TBD
24 T Apr 12 Topics Games/Robots
25 R Apr 14 Web
26 T Apr 19 Biomedical
27 R Apr 21 Assistive
28 T Apr 26 Final exam