Learning from Sensor Data

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1500

#0 of 0 in ELEC

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ELEC 303 or DSCI 301 or STAT 310 or STAT 311 Description: Basic information theoretic metrics and probabilistic machine learning tools for signals, images, and other data acquired from sensors, including graphical models, density estimation, principal components analysis, support vector machines, and source separation. Graduate/Undergraduate Equivalency: ELEC 575 . Mutually Exclusive: Cannot register for ELEC 475 if student has credit for ELEC 575 . Graduate/Undergraduate Equivalency: ELEC 575 . Mutually Exclusive: Cannot register for ELEC 475 if student has credit for ELEC 575→ELEC 475→unlocks 3 courses

3 mapped courses list ELEC 475 as a prerequisite. See on the map →

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