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

Course home Syllabus Schedule Student Projects

Course Description: This course provides a first introduction to a myriad of topics in Artificial Intelligence. The focus of the course is the study of modern approaches to Artificial intelligence. In particular, we will study:

     1. Problem solving, deals with general problem solving; techniques behind DeepBlue and AlphaGo
     2. Probabilistic modeling and reasoning, deals with uncertain modeling and reasoning. Almost all real-world problems are subject to uncertainty.
     3. Decision making under uncertainty, deals with problem solving and decision making under uncertainty.
     4. Machine learning, deals with learning from examples and more advanced learning techniques that contribute to most modern AI applications

Prerequisites: Computer Engineering or Computer Science or Software Engineering graduate student.

Instructor: Dr. Yu Zhang

  • Office: BYENG 594
  • Email: yzhan442@asu.edu
TA and grader: Akkamahadevi Hanni, Devaraj Madhugondu
  • Email: ahanni@asu.edu
  • Email: dmadhugo@asu.edu>