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Course Evaluation Results

Course Details

Fall 2015-2016
* COS 402   Graded A-F, P/D/F, Audit

Artificial Intelligence

Elad Hazan
Xiaoyan Li
H. Sebastian Seung

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%
Problem set(s) - 60%
Other (See Instructor) - 5%

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.

Website:  http://www.cs.princeton.edu/courses/archive/fall15/cos402

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
22020 L01 11:00 am - 12:20 pm T Th   Computer Science Building   104   Enrolled:123 Limit:160