Algorithmic Game Theory & Learning

CT Score

1500

#0 of 0 in COMP SCI

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

28.6%

31%

9.5%

2.4%

A-

B-

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

No section data for this term yet.

In the tree

( COMP SCI 300 or 320 ), ( MATH/COMP SCI 240 or STAT/COMP SCI/MATH 475 ), and ( MATH 320 , 340 , 341 , 345 or 375 ), or graduate/professional standing→COMP SCI 550→unlocks 0 courses

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

Study groups

0 active

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