6.S02 Special Subject: Introduction to EECS II from a Medical Technology Perspective
Experimental version of 6.02 that provides a medical technology context for learning fundamental concepts in information extraction and representation. Explores biomedical signals generated from electrocardiograms, glucose detectors, and magnetic resonance images. Topics include physical characterization and modeling of systems in the time and frequency domains; analog and digital signals and noise; basic machine learning including decision trees, clustering, and classification; and introductory machine vision. Licensed through Spring 2014 by the Committee on Curricula as an acceptable alternative to 6.02. 6 Engineering Design Points.
This class has no prerequisites.
Lecture occurs 2:00 PM to 3:00 PM on Mondays and Wednesdays in 34-101.
This class counts for a total of 12 credits.
In the Spring 2014 Subject Evaluations, 6.S02 was rated 5.3 out of 7.0. You can find more information at the 6.S02 Intro to EECS II from a Medical Technology Perspective site.
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