| 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. 3.1-3.5 [RN3] Sect. 3.1-3.4 |
|
| 3 |
Jan 14 |
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) |
A1 out |
| 4 |
Jan 16 |
Constraint Satisfaction
Problems (slides: one
per page, two
per page) |
[RN2] Sect. 5.1-5.2 [RN3] Sect. 6.1-6.3 |
|
| 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. 13.1-13.6 [RN3] Sect. 13.1-13.5 |
|
| 7 |
Jan 28 |
Bayesian Networks (slides: one per page, two per page) |
[RN2] Sect. 14.1-14.2 [RN3] Sect. 14.1-14.2 |
|
| 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. 16.1-16.3 [RN3] Sect. 16.1-16.3 |
Project proposals due Feb 10
(11:59 pm) |
| 12 |
Feb 13 |
Decision Networks (slides: one per page, two per page) | [RN2] Sect. 16.5-16.6 [RN3] Sect. 16.5-16.6 |
|
| 13 |
Feb 25 |
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) |
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. 18.1-18.3 [RN3] Sect. 18.1-18.3 |
A3 out |
| 16 |
Mar 6 |
Midterm (in class:
8:30-9:50 am) RCH 211: Students with last name starting with A-L RCH 212: Students with last name starting with M-Z |
Midterm |
|
| 17 |
Mar 11 |
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) |
|
| 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. 17.1-17.2,
17.4-17.5 [RN3] Sect. 17.1-17.2, 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, 21.1-21.3 [RN3] Sect. 21.1-21.3 |
|
| 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) |