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Course Details

Spring 2014-2015
COS 424   Graded A-F, P/D/F, Audit

Interacting with Data

Xiaoyan Li
Barbara Engelhardt

Computers have made it possible, even easy, to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use those data, and how to extract useful information from them. This problem is faced in a tremendous range of business and scientific applications. This course will focus on some of the most useful approaches to the problem of analyzing large complex data sets, exploring both theoretical foundations and practical applications. Students will gain experience analyzing several types of data, including text, images, and biological data.


Reading/Writing assignments:
Written exercises, programming and data-exploration projects; reading from text and primary sources. Student is expected to read 20 pages per week.

Requirements/Grading:
Programming Assignments - 50%
Other (See Instructor) - 50%

Other Requirements:
Open to Juniors, Seniors, and Graduate Students Only.

Prerequisites and Restrictions:
MAT 202 and COS 126 or equivalent or permission of instructor..

Other information:
Topics will include classification, clustering, prediction, and dimension reduction.

Website:  http://www.cs.princeton.edu/courses/archive/spring15/cos424

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
40301 L01 1:30 pm - 2:50 pm T Th   Friend Center   101   Enrolled:128 Limit:190