George Mason University
George Mason University Mason
George Mason University

BENG 420: Bioinformatics for Engineers

Instructor Information

Section Information

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.

Course Information from University Catalog

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.

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

Grade C or better in BENG 320 or SYST 320 or ECE 320.

Instructor Information
Expertise