2015-2016 University Catalog 
  
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2015-2016 University Catalog

BENG 420 - Bioinformatics for Engineers

Credits: 3
Limited to 2 Attempts
This course introduces the fundamental techniques and tools for analyzing biomedical data, important for many biomedical engineering problems. Topics include regression, classification, clustering, dimensionality reduction, data representation, pattern matching and algorithm performance evaluation. This innovative course will leverage hybrid learning through a combination of lectures, on-line content, and individual and group projects involving hands-on analysis.

Prerequisite(s): Grade C or better in BENG 320 or SYST 320 or ECE 320.

Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0