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6.03  Intro to EECS by Med Tech

Spring 2021

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Explores biomedical signals generated from electrocardiograms, glucose detectors or ultrasound images, 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. Labs designed to strengthen background in signal processing and machine learning. Students design and run structured experiments, and develop and test procedures through further experimentation.

Prereq: Calculus II (GIR), Physics II (GIR) Units: 4-4-4

Instructors: Elfar Adalsteinsson, Collin M Stultz

TA: Xingyu Zou

Lecture:  MW2  (VIRTUAL)        

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