Machine Learning for Signal Processing

CT Score

1500

#0 of 0 in EECS

Difficulty

—/10

Workload

—h/wk

Median grade

from grade distribution

Would take again

—

n = 0 verified

ESTIMATEStarted from public course data. The first verified student reviews replace these numbers.

Grade distribution

Student-reported · course feedback surveys

56.9%

40%

3.1%

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

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In the tree

Recommended: EECS 125 or equivalent undergraduate-level introduction to machine learning and EECS 152A or equivalent undergraduate course in digital signal processing. Knowledge of introductory linear algebra and differential equations, elementary probability theory, and elementary Python programming→EECS 253→unlocks 0 courses

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