Algorithms for Matching Markets

CT Score

1500

#0 of 0 in COMPSCI

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

100%

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Professor ratings →

Sections

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In the tree

Recommended: COMPSCI 263 and COMPSCI 295 (when the topic title is Game Theory), or a course on linear programming, or working knowledge of LP-duality theory→COMPSCI 288→unlocks 0 courses

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

Study groups

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