Note: 2pp = 2 slides per page, 6pp = 6 slides per page.
| Week | Monday | Wednesday | Friday |
|---|---|---|---|
| Week #1 Apr 2 - Apr 6 |
Lecture: Introduction
(2pp, 6pp)
Reading: Chapter 1 |
Lecture: Agents
(2pp, 6pp)
Written Assignment #1 out Reading: Chapter 2 Syllabus quiz due on Canvas |
Lecture: Uninformed Search
(2pp, 6pp)
Programming Assignment #1 out Reading: Chapters 3.1-3.4 |
| Week #2 Apr 9 - Apr 13 |
Lecture: Uninformed Search (Continued from last time) | Lecture: Informed Search
(2pp, 6pp)
Written Assignment #1 DUE Reading: Chapters 3.5-3.6 |
Lecture: Informed Search (Continued from last time) |
| Week #3 Apr 16 - Apr 20 |
Lecture: Local Search
(2pp, 6pp)
Reading: Chapter 4.1-4.2 |
Lecture: Adversarial Search I
(2pp, 6pp)
Reading: Chapter 5.1-5.3 Reading quiz due on Canvas |
Lecture: Adversarial Search II
(2pp, 6pp) Alpha-Beta Exercise (2pp, 6pp) Programming Assignment #1 DUE Programming Assignment #2 out Reading: Chapter 5.4,5.5,5.7 Reading quiz due on Canvas |
| Week #4 Apr 23 - Apr 27 |
Lecture: Propositional Logic I
(2pp, 6pp)
Reading: Chapter 7.1-7.3 Reading quiz due on Canvas |
Lecture: Propositional Logic II
(2pp, 6pp)
Notes from class Written Assignment #2 out Reading: Chapter 7.4-7.5.2 Reading quiz due on Canvas |
Guest Lecture: Dr. Alan Fern
Topic: AlphaGo Reading: Nature article |
| Week #5 Apr 30 - May 4 |
Lecture: Probability I
(2pp, 6pp)
Reading: Chapter 13.2-13.5 Reading quiz due on Canvas |
Lecture: Probability II
(2pp, 6pp)
Written Assignment #2 DUE Reading: Chapter 13.2-13.5 |
Lecture: Probability III
(2pp, 6pp)
Programming Assignment #2 DUE Reading: Chapter 13.2-13.5 Practice midterm |
| Week #6 May 7 - May 11 |
Lecture: Midterm Review
(Practice midterm solutions) |
Midterm | Lecture: Midterm Solutions
Written Assignment #3 out |
| Week #7 May 14 - May 18 |
Lecture: Bayesian Networks I
(2pp, 6pp)
Reading: 14.1-14.2 Reading quiz due on Canvas |
Lecture: Bayesian Networks II
(2pp, 6pp)
Reading: 20.2.5 |
Engineering Expo (no class) |
| Week #8 May 21 - May 25 |
Lecture: Naive Bayes and Text Mining
(2pp, 6pp)
Programming Assignment #3 out Written Assignment #3 DUE Written Assignment #4 out Reading: Chapter 14.2 |
Guest Lecture: Dr. Tom Dietterich
Topic: Current Events & Future Directions in AI Reading: CACM article |
Lecture: Bayesian Networks III
(2pp, 6pp)
Reading: Chapter 14.4 Reading quiz due on Canvas |
| Week #9 May 28 - Jun 1 |
Memorial Day (no class) | Lecture: Bayes Nets Wrap-up | Lecture: Game Theory I
(2pp, 6pp)
Written Assignment #4 DUE Reading: Chapter 17.5-17.6 Reading quiz due on Canvas |
| Week #10 Jun 4 - Jun 8 |
Lecture: Game Theory II (slides from last time)
Programming Assignment #3 DUE Practice Final Reading: Chapter 17.5-17.6 |
Guest Lecture: Dr. Prasad Tadepalli
Topic: Revisiting the Turing Test & Ethics in AI (2pp, 6pp) Reading: Computing Machinery and Intelligence by Alan Turing Reading: Killer Robots: The Soldiers that Never Sleep by Simon Parkin |
Lecture: Final Exam Review |
Final exam is Thursday June 14, 14:00-15:50, WITH 109