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Experimental Design and Causal Inference
QAC 307
Fall 2017
Section: 01  
Crosslisting: CIS 307

The course provides the foundations and statistical thinking to design, collect, and analyze experimental data and introduces appropriate techniques for observational data when causal inference is the objective of the analysis. Throughout the course, we introduce and compare various experimental designs. We will discuss sample size and power calculations as well as the advantages and disadvantages of each of these designs. With observational data, we will explore difference-in-difference models, propensity score matching techniques, regression discontinuity designs. This course gives students the opportunity to develop further their computational skills as we learn how to describe, interpret, control, and draw inferences from experimental and observational data.
Credit: 1 Gen Ed Area Dept: NSM QAC, SBS QAC
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: QAC201 OR PSYC200 OR MATH132 OR ECON300
Fulfills a Major Requirement for: (CADS)(CIS)(DATA-MN)(IDEA-COMP)(PSYC)
Past Enrollment Probability: 75% - 89%

Last Updated on JUL-16-2024
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