Machine Learning for Signal Processing Applications

CT Score

1500

#0 of 0 in E E

Difficulty

—/10

Workload

—h/wk

Median grade

A−

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

25.3%

61.4%

8.9%

4.4%

A-

B+

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Jenq-Neng Hwang

11 community ratings

8.1

——

Jounsup Park

6 community ratings

8.6

——

Shian-Ru Ke

2 community ratings

——

Professor ratings →

Sections

No section data for this term yet.

In the tree

a minimum grade of 1.0 in E E 242; either MATH 136, both MATH 126 and MATH 208, or both MATH 126 and AMATH 352; and either E E 391, IND E 315, MATH 394/STAT 394, or STAT 390→E E 443→unlocks 0 courses

No mapped courses require this one yet. See on the map →

Study groups

0 active

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