CS486/686 - Schedule

This is a tentative schedule only.  As the course progresses, the schedule will be adjusted.

[RN2] 2nd edition of Artificial Intelligence: A Modern Approach by Russell and Norvig
[RN3] 3rd edition of Artificial Intelligence: A Modern Approach by Russell and Norvig

Lecture
 Date
 Topic
 Reading (textbook)
1
 May 5
 Introduction (slides: one per page, two per page) [RN2] Chapt. 1 and 2
[RN3] Chapt. 1 and 2
2
 May 7
 Uninformed Search (slides: one per page, two per page) [RN2] Sect. 3.1-3.5
[RN3] Sect. 3.1-3.4
3
 May 12
 Informed Search (slides: one per page, two per page) [RN2] Sect. 4.1-4.2 (except RBFS)
[RN3] Sect. 3.5-3.6 (except RBFS)
4
 May 14
 Constraint Satisfaction Problems (slides: one per page, two per page) [RN2] Sect. 5.1-5.2
[RN3] Sect. 6.1-6.3
5
 May 19
 Local Search (slides: one per page, two per page) [RN2] Sect. 4.3
[RN3] Sect. 4.1
6
 May 21
 Uncertainty (slides: one per page, two per page) [RN2] Sect. 13.1-13.6
[RN3] Sect. 13.1-13.5
7
 May 26
 Bayesian Networks (slides: one per page, two per page) [RN2] Sect. 14.1-14.2
[RN3] Sect. 14.1-14.2

May 27
 Assignment 1 due (11:59 pm)
8
 May 28
 Bayesian Networks (slides: one per page, two per page) [RN2] Sect. 14.4 (except clustering algorithms)
[RN3] Sect. 14.4 (except clustering algorithms)
9
 Jun 2
 Decision Theory (slides: one per page, two per page) [RN2] Sect. 16.1-16.3
[RN3] Sect. 16.1-16.3
10
 Jun 4
 Decision Networks (slides: one per page, two per page) [RN2] Sect. 16.5-16.6
[RN3] Sect. 16.5-16.6
11
 Jun 9
 no new material
12
 Jun 11
 Probabilistic reasoning over time (slides: one per page, two per page) [RN2] Sect. 15.1-15.3, 15.5 (except approximate inference)
[RN3] Sect. 15.1-15.3, 15.5 (except approximate inference)

Jun 12
Jun 15
 Assignment 2 due (11:59 pm)
13
 Jun 16
 Markov Decision Processes (slides: one per page, two per page) [RN2] Sect. 17.1-17.2, 17.4-17.5
[RN3] Sect. 17.1-17.2, 17.4
14
 Jun 18
 Review and QA session to prepare for midterm

Jun 19
 Midterm 16:30 - 18:00
MC2066: Students with last name starting with A-P
MC2035: Students with last name starting with Q-Z
15
 Jun 23
 Decision tree learning (slides: one per page, two per page) [RN2] Sect. 18.1-18.4
[RN3] Sect. 18.1-18.4
16
 Jun 25
 Statistical Learning (slides: one per page, two per page) [RN2] Sect. 20.1-20.2 (up to p. 718)
[RN3] Sect. 20.1-20.2 (up to p. 809)

Jun 29
 Project proposal due (11:59 pm)
17
 Jun 30
 Statistical Learning (slides: one per page, two per page) [RN2] Sect. 20.3 (up to p. 731)
[RN3] Sect. 20.3 (up to p. 823)
 
18
 Jul 2
 Ensemble learning (slides: one per page, two per page) [RN2] Sect. 18.4
[RN3] Sect. 18.10
19
 Jul 7
 Neural networks, perceptrons (slides: one per page, two per page, extra slides) [RN2] Sect. 20.5
[RN3] Sect. 18.7

Jul 8
 Assignment 3 due (11:59 pm)
20
 Jul 9
 Neural networks, backpropagation (slides: one per page, two per page, extra slides) [RN2] Sect. 20.5
[RN3] Sect. 18.7
21
 Jul 14
 Deep neural networks (slides: one per page, two per page)
22
 Jul 16
 Reinforcement Learning (slides: one per page, two per page) [RN2] Sect, 21.1-21.3
[RN3] Sect. 21.1-21.3
23
 Jul 21
 Bandits (slides: one per page, two per page)
24
 Jul 23
 Course wrap up (slides: one per page, two per page)

Jul 24
 Assignment 4 due (11:59 pm)

Aug 10
 Project report due (11:59 pm)