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Course Offerings

Course Details

Fall 2012-2013
COS 402  

Artificial Intelligence

Xiaoyan Li
Robert E. Schapire

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

Reading/Writing assignments:
Readings from textbook. Regular problem sets and programming assignments

Requirements/Grading:
Final Exam - 35%
Programming Assignments - 35%
Problem set(s) - 30%

Other Requirements:
Not Open to Freshmen.

Prerequisites and Restrictions:
COS 226.

Other information:
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.

Reserved Seats:
Open to Graduate Students Only 10
COS Graduate Students Only 15

Website:  http://www.cs.princeton.edu/courses/archive/fall12/cos402

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
22548 L01 11:00 am - 12:20 pm T Th   Computer Science Building   104   Enrolled:125 Limit:145