Psychometrics and automated experiment design
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Course Description
n this graduate seminar we will consider how modern computational techniques and old ideas in psychometrics combine to enable new approaches to experimentation. We will cover topics such as item response theory, optimal experiment design, adaptive experiments, and Bayesian optional stopping. We will read fairly technical papers and ask students to implement some of the algorithms we are studying.
Grading Basis
ROP - Letter or Credit/No Credit
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
Programs
PSYCH241
is a
completion requirement
for: