2 Classes (24 Units)

6.S02 (12), HST.582 (12)

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6.S02 Special Subject: Introduction to EECS II from a Medical Technology Perspective

Class Info

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.

6.S02 will not be offered this semester. It will be instructed by E. Adalsteinson and C. M. Stultz.

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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6.S02 Intro to EECS II from a Medical Technology Perspective
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interested gir supervisors faculty non-faculty j. voldman e. adalsteinsson c.m. stultz faculty & non-faculty supervisors research interests : faculty & non-faculty supervisors research interests

HST.582 Biomedical Signal and Image Processing

Class Info

Fundamentals of digital signal processing with emphasis on problems in biomedical research and clinical medicine. Basic principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. Lab projects, performed in MATLAB, provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

This class has 6.003, 2.004, 16.002, and 18.085 as prerequisites.

HST.582 will not be offered this semester. It will be available in the Spring semester, and will be instructed by E. Adalsteinsson, J. Greenberg and W. Wells.

Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 56-154.

This class counts for a total of 12 credits.

You can find more information at the MIT + HST.582 - Google Search site.

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