CSE 471: Introduction to Artificial Intelligence
Class: LSE 104, T/Th, 6:00--7:15PM
Office Hours: BYENG 594, T/Th, 4:30--5:30PM
Office Hours (TA: Mehrdad): BYENG M1-28, M 3:00-4:00PM, F 10:00AM-11:00AM
Office Hours (TA: Ze): BYENG M1-28, W 2:00-4:00PM
Course home | Syllabus | Schedule | Student Projects |
Subject to change. Check back frequently for updates.
Last updated: Jan 18, 2018
Date | Topics | Lecture Notes |
Reading/Project Assignments | Deadlines | Important Dates |
Tue. 01/09 | Course introduction. | Lecture Slides | Recommended: R&N, Third Edition, Chapter 1 | ||
Th. 01/11 | Rational agent. | Lecture Slides | Required: R&N, Third Edition, Chapter 2 |
Project assignnment #0 (warmup; no credit): Python tutorial. Quiz #1 due Wednesday Jan 17 6:00PM. |
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Tue. 01/16 | Uninformed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.1--3.4 | ||
Th. 01/18 | Informed search. | Lecture Slides | Required: R&N, Third Edition, Chapter 3.5--3.6 |
Project assignnment #1: due Wednesday Jan 31 23:59:59PM. Quiz #2 due Tuesday Jan 23 6:00PM (before class). Homework #1 due Friday Jan 26 23:59:59PM |
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Tue. 01/23 | Informed search (Cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 3.5--3.6 | ||
Th. 01/25 | Adversarial search. | Lecture Slides | Required: R&N, Third Edition, Chapter 5 |
Quiz #3 due Tuesday Jan 30 6:00PM (before class). |
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Tue. 01/30 | Adversarial search (cont.) | Lecture Slides | Required: R&N, Third Edition, Chapter 5 | ||
Th. 02/01 | Games and utilities | Lecture Slides | Required: R&N, Third Edition, Chapter 5 |
Project assignnment #2: due Feb 15 23:59:59PM. Quiz #4 due Feb 6 6:00PM (before class). Homework #2 due Feb 9 23:59:59PM |
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Tue. 02/06 | Markov Decision Process | Lecture Slides | Required: R&N, Third Edition, Chapter 17.1-2 | ||
Th. 02/08 | Markov Decision Process (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 17.1-2 |
Quiz #5 due Feb 13 6:00PM (before class). |
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Tue. 02/13 | Markov Decision Process (II) | Lecture Slides | Required: RN, Third Edition, Chapter 17.3 | Midterm March 1 in class | |
Th. 02/15 | Reinforcement Learning | Lecture Slides | Required: RN, Third Edition, Chapter 21.1-3 | ||
Tue. 02/20 | Reinforcement Learning II | Lecture Slides | Required: RN, Third Edition, Chapter 21.4-5 | Homework #3 due Monday Feb 26 23:59:59PM Quiz #6 due Thursday Feb 22 23:59:59PM | Review session in class, Feb 22 |
Th. 02/22 | Midterm review | ||||
Tue. 02/27 | Deep Reinforcement Learning | Lecture Slides | |||
Th. 03/01 | In class midterm | ||||
Tue. 03/13 | Probability basics | Lecture Slides | Required: RN, Third Edition, Chapter 13 | ||
Th. 03/15 | Independence and Markov Model | Lecture Slides | Required: RN, Third Edition, Chapter 15.1-2 | ||
Tue. 03/20 | Hidden Markov Model | Lecture Slides | Required: RN, Third Edition, Chapter 15.3 |
Homework #4 due March 26 23:59:59PM Quiz #7 due March 22 18:00:00PM |
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Th. 03/22 | HMM and its applications | Lecture Slides | Required: RN, Third Edition, Chapter 15.3 | Project #4 due April 8 23:59:59PM | |
Tue. 03/27 | Bayesian network | Lecture Slides | Required: RN, Third Edition, Chapter 15.3 and 14.1-2 | ||
Th. 03/29 | Bayesian network (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 14.1-2 | Quiz #8 due April 5 18:00:00PM | |
Tue. 04/03 | Bayesian network (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 14.1-2 | ||
Th. 04/05 | Bayesian network (cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 14.1-2 | ||
Tue. 04/10 | Inference and Sampling | Lecture Slides | Required: RN, Third Edition, Chapter 14.4-5 | Homework #5 due April 17 23:59:59PM | |
Th. 04/12 | Machine learning (Naive Bayes) | Lecture Slides | Required: RN, Third Edition, Chapter 20.1-20.2.2 | ||
Tue. 04/17 | Perceptron | Lecture Slides | Required: RN, Third Edition, Chapter 18.6.3 |
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Th. 04/19 | Perceptron (Cont.) | Lecture Slides | Required: RN, Third Edition, Chapter 18.6.3 |
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Tue. 04/24 | Kernel and clustering | Lecture Slides | Required: RN, Third Edition, Chapter 18.8 |