CS 5660

CS 5660

Course information provided by the 2014-2015 Catalog.

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.


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

When Offered Fall.

Comments Part of the Cornell Tech Program.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  • 13135 CS 5660   LEC 001

  • Instruction Mode:

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