Data Science Analytics using Probabilistic Graph Models

CT Score

1500

#0 of 0 in ECE

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

22.5%

19.8%

22.5%

10.8%

7.2%

5.4%

0.9%

A+

A-

B+

B-

C+

D+

D-

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

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In the tree

Basic probability and basic computer programming skills are essential. ECE 313 or CS 361 . Prior exposure to basics of scripting languages (such as Python), knowledge of operating systems (e.g., ECE 391 , or an equivalent course) is beneficial→ECE 471→unlocks 0 courses

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Study groups

0 active

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