CSE 571: Artificial Intelligence
Class: Tempe - SCOB228, 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, 2021
| Date | Topics | Lecture Notes |
Reading/Project Assignments | Deadlines | Important Dates |
| Th. 08/19 | Course introduction. | Lecture Slides | Recommended: R&N, Third Edition, Chapter 1 | ||
| T. 08/24 | Rational agent. | Lecture Slides | Required: R&N, Third Edition, Chapter 2 | ||
| Th. 08/26 | Search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.1--3.4 | ||
| T. 08/31 | Uninformed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.1--3.4 | ||
| Th. 09/02 | Informed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.5--3.6 | ||
| T. 09/07 | Adversarial search. | Lecture Slides | Required: R&N, Third Edition, Chapter 5 | ||
| Th. 09/09 | Adversarial search (cont) | Lecture Slides | Required: R&N, Third Edition, Chapter 5 | ||
| T. 09/14 | General games | Lecture Slides | Required: R&N, Third Edition, Chapter 5, 16 | ||
| Th. 09/16 | Logic Agents | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| T. 09/21 | Logic Agents (cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| Th. 09/23 | Logic Agents (cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 7 | ||
| T. 09/28 | First-order logic | Lecture Slides | Required: R&N, Third Edition, Chapter 9 | ||
| Th. 09/30 | Markov Decision Process | Lecture Slides | Required: R&N, Third Edition, Chapter 17.1-2 | ||
| T. 10/05 | Markov Decision Process (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 17.1-2 | ||
| Th. 10/07 | Markov Decision Process (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 17.1-2 | ||
| T. 10/12 | Fall break; class excused | Lecture Slides | |||
| Th. 10/14 | Reinforcement Learning | Lecture Slides | Required: RN, Third Edition, Chapter 21.1-3 | ||
| T. 10/19 | Reinforcement Learning (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 21.4-5 | ||
| Th. 10/21 | Reinforcement Learning (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 21.4-5 | ||
| T. 10/26 | Probabilistic inference | Lecture Slides | Required: RN, Third Edition, Chapter 13 | ||
| Th. 10/28 | Bayesian Network | Lecture Slides | Required: RN, Third Edition, Chapter 14 | ||
| T. 11/02 | Bayesian Network (cont) | Lecture Slides | Required: RN, Third Edition, Chapter 14 | ||
| Th. 11/04 | Hidden Markov Model | Lecture Slides | Required: RN, Third Edition, Chapter 15 | ||
| T. 11/09 | Particle Filters | Lecture Slides | Required: RN, Third Edition, Chapter 15 | ||
| Th. 11/11 | Veterans day; class excused | Lecture Slides | |||
| T. 11/16 | Decision Networks | Lecture Slides | Required: RN, Third Edition, Chapter 16 | ||
| Th. 11/18 | Naive Bayes | Lecture Slides | Required: RN, Third Edition, Chapter 20 | ||
| T. 11/23 | Perceptron | Lecture Slides | Required: RN, Third Edition, Chapter 18 | ||
| Th. 11/25 | Thanksgiving; class excused | Lecture Slides | |||
| T. 11/30 | Logistic Regression | Lecture Slides | Required: RN, Third Edition, Chapter 18 | ||
| Th. 12/02 | Neural Networks | Lecture Slides | Required: RN, Third Edition, Chapter 18 |