CSE 571: Artificial Intelligence
Class: Tempe - LSE106, T/TH, 3:00--4:15PM
Office Hours: BYENG 594, T/TH, 1:30--2:30PM
Office Hours (TA: Akkamahadevi Hanni): TBD
| Course home | Syllabus | Schedule | Student Projects |
Subject to change. Check back frequently for updates.
Last updated: August 18, 2022
| Date | Topics | Lecture Notes |
Reading/Project Assignments | Deadlines | Important Dates |
| Th. 08/18 | Course introduction. | Lecture Slides | Recommended: R&N, Third Edition, Chapter 1 | ||
| T. 08/23 | Rational agent. | Lecture Slides | Required: R&N, Third Edition, Chapter 2 | ||
| Th. 08/25 | Search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.1--3.4 | ||
| T. 08/30 | Uninformed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.1--3.4 | ||
| Th. 09/01 | Informed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.5--3.6 | ||
| T. 09/06 | Adversarial search. | Lecture Slides | Required: R&N, Third Edition, Chapter 5 | ||
| Th. 09/08 | Adversarial search (cont) | Lecture Slides | Required: R&N, Third Edition, Chapter 5 | ||
| T. 09/13 | General games | Lecture Slides | Required: R&N, Third Edition, Chapter 5, 16 | ||
| Th. 09/15 | Logic Agents | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| T. 09/20 | Logic Agents (cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| Th. 09/22 | Logic Agents (cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| T. 09/27 | First-order logic | Lecture Slides | Required: R&N, Third Edition, Chapter 9 | ||
| Th. 09/29 | Markov Decision Process | Lecture Slides | Required: R&N, Third Edition, Chapter 17.1-2 | ||
| T. 10/04 | Markov Decision Process (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 17.1-2 | ||
| Th. 10/06 | Markov Decision Process (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 17.1-2 | ||
| T. 10/11 | Fall break; class excused | Lecture Slides | |||
| Th. 10/13 | Reinforcement Learning | Lecture Slides | Required: RN, Third Edition, Chapter 21.1-3 | ||
| T. 10/18 | Reinforcement Learning (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 21.4-5 | ||
| Th. 10/20 | Reinforcement Learning (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 21.4-5 | ||
| T. 10/25 | Probabilistic inference | Lecture Slides | Required: RN, Third Edition, Chapter 13 | ||
| Th. 10/27 | Bayesian Network | Lecture Slides | Required: RN, Third Edition, Chapter 14 | ||
| T. 11/01 | Bayesian Network (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 14 | ||
| Th. 11/03 | Hidden Markov Model | Lecture Slides | Required: RN, Third Edition, Chapter 15 | ||
| T. 11/08 | Particle Filters | Lecture Slides | Required: RN, Third Edition, Chapter 15 | ||
| Th. 11/10 | TBD | Lecture Slides | |||
| T. 11/15 | Decision Networks | Lecture Slides | Required: RN, Third Edition, Chapter 16 | ||
| Th. 11/17 | Naive Bayes | Lecture Slides | Required: RN, Third Edition, Chapter 20 | ||
| T. 11/22 | Perceptron | Lecture Slides | Required: RN, Third Edition, Chapter 18 | ||
| Th. 11/24 | Thanksgiving; class excused | Lecture Slides | |||
| T. 11/29 | Logistic Regression | Lecture Slides | Required: RN, Third Edition, Chapter 18 | ||
| Th. 12/01 | Neural Networks | Lecture Slides | Required: RN, Third Edition, Chapter 18 |