Skip to content

UC_BERKELEY · SOCIOL · COURSE SHEET

SOCIOL 273M3 creditsSee offeringsHas prerequisites

Computational Social Science

CT Score
1500
#0 of 0 in SOCIOL
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
4.9%
77.8%
7.4%
2.5%
1.2%
6.2%
A+
A
A-
B+
B
P
By professor: same course, different game
PROFESSORSCOREGRADEHRS/WKTERMS
Professor ratings →
Sections

No section data for this term yet.

In the tree
SOCIOL 273L A year-long course in statistical methods for social science graduate students (or equivalent prior experience) will generally be sufficient statistical 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). Students may consult the instructor if unsure.SOCIOL 273Munlocks 0 courses

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

Study groups
0 active

🔒 Verified-only writes. You post as “sophomore, lecture section”: real enough to trust, anonymous enough to be honest.