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

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. Modeling and reasoning, deals with knowledge representation and reasoning over the knowledge base
     3. Probabilistic modeling and reasoning, deals with uncertain modeling and reasoning. Almost all real-world problems are subject to uncertainty.
     4. Machine learning, deals with learning from examples and more advanced learning techniques that contribute to most modern AI applications

Prerequisites: Computer Science BS, Geographic Information Science BS, or Computer Systems Engineering BSE major; CSE 310 with C or better OR Computer Science and Engineering or Software Engineering graduate student.

Instructor: Dr. Yu Zhang

  • Office: BYENG 594
  • Email: yzhan442@asu.edu
TA: Mehrdad Zaker Shahrak
  • Email: mzakersh@asu.edu
TA: Ze Gong
  • Email: zgong11@asu.edu