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, email@example.com. Office hours: Tu/Th 11am-12pm, or by appointment.
Teaching Assistant: Taha Belkhouja, firstname.lastname@example.org. Office hours: Mon 3-5pm, Dana 118C.