CS 5660

CS 5660

Course information provided by the Courses of Study 2014-2015.

Prediction, smoothing and filtering of 1D signals, with an emphasis on data from mobile devices (e.g. accelerometry, audio, GPS). Fundamentals of time series analysis. Image analysis and enhancement techniques, including deblurring, registration, segmentation and recognition. Methods that scale to very large image collections. Programming in Matlab, Octave or Python.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: Some familiarity with linear algebra and statistics (at the level taught in a freshman course), or permission of instructor.

Comments Part of the Cornell Tech Program.

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 13135CS 5660  LEC 001

  • Instruction Mode:
    Enrollment limited to: students enrolled at the Cornell Tech campus. Offered in NYC.