Artificial Intelligence (CptS 440/540) Fall 2018

TuTh 12:00-1:15pm, SPRK 335 (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: Data Structures (CptS 122), Probability and Statistics (Math 212 or 360).

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: Tue/Thu 2-3pm, or by appointment.

Teaching Assistants:
Yang Hu, Grades even-numbered homeworks. Office hours: Tue 3-5pm in Dana 2.
Samir Sbai, Grades odd-numbered homeworks. Office hours: Tue/Thu 11am-12pm in Sloan 342.

Course Materials

Course Resources

Other AI Resources

AI in the News