Yu ("Tony") Zhang: Computer Science and Engineering

CSE 571: Artificial Intelligence

Class: PSF101, T/Th, 12:00--1:15PM

Office Hours: Online, T/Th, 1:45--2:45PM

Office Hours (TA: Akku): TBD

Office Hours (Grader: Devaraj): TBD

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Syllabus

Schedule

Student Projects

Subject to change. Check back frequently for updates.
Last updated: Jan 9, 2024

Date	Topics	Lecture Notes	Reading/Project Assignments	Deadlines	Important Dates
Tu. 01/09 - 4/26	Course introduction.	Lecture Slides	Recommended: R&N, Third Edition, Chapter 1
	Rational agent.	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 2
	Agent case study.	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 2
	Introduction to planning	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 3.1-3.2
	Uninformed search.	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 3.1--3.4
	Informed search.	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 3.5--3.6
	Adversarial search.	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 5
	Adversarial search (cont).	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 5
	TBD		Additional reading
	Games	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 5
	Logic Agents	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 7
	Logic Agents (cont.)	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 7
	Logic Inference	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 7
	TBD		Additional reading
	Logic Inference	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 7
	First-order logic	Lecture Slides Lecture Notes	Required: R&N, Third Edition, Chapter 8
	Spring break
	Spring break
	Markov Decision Process	Lecture Slides	Required: R&N, Third Edition, Chapter 17.1-2
	Value Iteration	Lecture Slides	Required: RN, Third Edition, Chapter 17.1-2
	Policy Evaluation and Iteration	Lecture Slides	Required: RN, Third Edition, Chapter 17.3
	MDP example discussion	Lecture Slides	Required: RN, Third Edition, Chapter 17.1-3
	Reinforcement Learning	Lecture Slides	Required: RN, Third Edition, Chapter 21.1-3
	Reinforcement Learning II	Lecture Slides	Required: RN, Third Edition, Chapter 21.1-3
	Reinforcement Learning III	Lecture Slides	Required: RN, Third Edition, Chapter 21.1-3
	Reinforcement Learning IV	Lecture Slides	Required: RN, Third Edition, Chapter 21.4-5
	Probability basics	Lecture Slides	Required: RN, Third Edition, Chapter 13
	Bayesian network	Lecture Slides	Required: RN, Third Edition, Chapter 14.1-2
	Bayesian network II	Lecture Slides	Required: RN, Third Edition, Chapter 14.1-2
	Bayesian network III	Lecture Slides	Required: RN, Third Edition, Chapter 14.1-2
	Machine learning	Lecture Slides	Required: RN, Third Edition, Chapter 18.1-2