- Autumn 2016
Meeting Time:
TT
Location:
SAV
SLN:
20172
Joint Sections:
CS&SS 510 A
Instructor:
Catalog Description:
Introduces maximum likelihood, a more general method for modeling social phenomena than linear regression. Topics include discrete, time series, and spatial data, model interpretation, and fitting. Prerequisite: POL S 501/CS&SS 501; POL S 503/CS&SS 503. Offered: jointly with CS&SS 510.
Credits:
5.0
Status:
Active
Last updated:
January 10, 2018 - 9:16pm