Artificial Intelligence (CptS 440/540) Fall 2019

TuTh 9:10-10:25am, ETRL 101 (Pullman), TFLO 256 (Tri-Cities), EVRT 358 (Everett)
Washington State University
School of Electrical Engineering and Computer Science

Description: An introduction to the field of artificial intelligence including search, knowledge representation, reasoning, uncertainty, learning, and perception. (3 credits)

Student Learning Outcomes: (1) Understand the major areas and challenges of AI, (2) Apply basic AI algorithms to solve problems, and (3) Understand the ethical issues in AI.

Prerequisites: Advanced Data Structures (CptS 223 or 233).

Textbook: Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Third Edition, Prentice Hall, 2010.

Grading: Homeworks (50%), Exam 1 (15%), Exam 2 (15%), Final Exam (20%).

Instructor: Larry Holder , EME 227, 335-6138, Office hours: Tu/Th 11am-12pm, or by appointment.

Teaching Assistant: Taha Belkhouja, Office hours: Mon 3-5pm, Dana 118C.

Course Materials

Course Resources

Other AI Resources

AI in the News