The fundamental principles, algorithms and techniques of modern artificial intelligence research and practice. Likely topics include: problem solving using search, game playing, logical inference, probabilistic reasoning in the presence of uncertainty, hidden Markov models, speech recognition, Markov decision processes, machine learning.
Sample reading list:
Russell & Norvig, AI: A Modern Approach Third Edition
Readings from textbook. Regular problem sets and programming assignments
Final Exam - 35%
Programming Assignments - 35%
Problem set(s) - 30%
Not Open to Freshmen.
Prerequisites and Restrictions:
This course often fills up, so be sure to enroll at your earliest opportunity. Seats reserved for graduate students will be released soon after the first class.
Open to Graduate Students Only 10
COS Graduate Students Only 15
|22548||L01||11:00 am - 12:20 pm||T Th||Computer Science Building 104||Enrolled:125 Limit:145|