Lecture 
Date 
Topic 
Reading
(textbook) 
Notes 
1 
Jan 7 
Introduction (slides: one per page, two per page) 
[RN2] Chapt. 1 and 2 [RN3] Chapt. 1 and 2 

2 
Jan 9 
Uninformed Search (slides: one per page, two per page)  [RN2] Sect. 3.13.5 [RN3] Sect. 3.13.4 

3 
Jan 14 
Informed Search (slides: one per page, two per page) 
[RN2] Sect. 4.14.2 (except
RBFS) [RN3] Sect. 3.53.6 (except RBFS) 
A1 out 
4 
Jan 16 
Constraint Satisfaction
Problems (slides: one
per page, two
per page) 
[RN2] Sect. 5.15.2 [RN3] Sect. 6.16.3 

5 
Jan 21 
Local Search (slides: one per page, two per page) 
[RN2] Sect. 4.3 [RN3] Sect. 4.1 

6 
Jan 23 
Uncertainty (slides: one per page, two per page)  [RN2] Sect. 13.113.6 [RN3] Sect. 13.113.5 

7 
Jan 28 
Bayesian Networks (slides: one per page, two per page) 
[RN2] Sect. 14.114.2 [RN3] Sect. 14.114.2 

8 
Jan 30 
Bayesian Networks (slides: one per page, two per page) 
[RN2] Sect. 14.4 (except
clustering algorithms) [RN3] Sect. 14.4 (except clustering algorithms) 
A1 due Jan 29 (11:59 pm) A2 out 
9 
Feb 4 
Project Ideas (with Abdullah
Rashwan) (slides: one per page, two per page) 


10 
Feb 6 
Lecture Cancelled 


11 
Feb 11 
Decision Theory (slides: one per page, two per page) 
[RN2] Sect. 16.116.3 [RN3] Sect. 16.116.3 
Project proposals due Feb 10
(11:59 pm) 
12 
Feb 13 
Decision Networks (slides: one per page, two per page)  [RN2] Sect. 16.516.6 [RN3] Sect. 16.516.6 

13 
Feb 25 
Probabilistic reasoning over
time (slides: one per
page, two
per page) 
[RN2] Sect. 15.115.3, 15.5
(except approximate inference) [RN3] Sect. 15.115.3, 15.5 (except approximate inference) 
A2 due Feb 24 (11:59 pm) 
14 
Feb 27 
Approximate Probabilistic
Reasoning (slides: one
per page, two
per page) 
[RN2] Sect. 14.5, 15.5 [RN3] Sect. 14.5, 15.5 

15 
Mar 4 
Decision tree learning
(slides: one per page,
two per page) 
[RN2] Sect. 18.118.3 [RN3] Sect. 18.118.3 
A3 out 
16 
Mar 6 
Midterm (in class:
8:309:50 am) RCH 211: Students with last name starting with AL RCH 212: Students with last name starting with MZ 
Midterm 

17 
Mar 11 
Statistical Learning (slides:
one per page, two per page) 
[RN2] Sect. 20.120.2 (up to
p. 718) [RN3] Sect. 20.120.2 (up to p. 809) 

18 
Mar 13 
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) 

19 
Mar 18 
Ensemble learning
(slides: one per page,
two per page) 
[RN2] Sect. 18.4 [RN3] Sect. 18.10 

20 
Mar 20 
Markov Decision Processes (slides: one per page, two per page)  [RN2] Sect. 17.117.2,
17.417.5 [RN3] Sect. 17.117.2, 17.4 
A3 due March 19 (11:59 pm) A4 out 
21 
Mar 25 
Reinforcement Learning (slides: one per page, two per page)  [RN2] Sect, 21.121.3 [RN3] Sect. 21.121.3 

22 
Mar 27 
Bandits (slides: one per page, two per page) 


23 
Apr 1 
Natural Language Processing:
Question Answering (slides: one per page, two per page) 

24 
Apr 3 
Course wrap up (slides: one per page, two per page)  A4 due Apr 4 (11:59 pm) 