Computational Social Science

CT Score

1500

#0 of 0 in SOCIOL

Difficulty

4/10

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

32.7%

61.7%

1.9%

0.9%

2.8%

A+

A-

B+

By professor: same course, different game

PROFESSORSCOREGRADEHRS/WKTERMS

Kasey Zapatka

1 community ratings

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Professor ratings →

Sections

No section data for this term yet.

In the tree

A year-long course in statistical methods for social science graduate students (or equivalent prior experience) will generally be sufficient preparation. Students should have a background in multivariate regression (both linear and non-linear models), maximum likelihood estimation, and introductory causal inference (omitted variable bias, potential outcomes, average treatment effects, causal graphs).→SOCIOL 273L→unlocks 1 courses

1 mapped course lists SOCIOL 273L as a prerequisite. See on the map →

Study groups

0 active

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