POL SCI 200D

Maximum Likelihood for Social Science

Political Science · 4 units · Graduate courses (200-299)

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Introduction to theory and practice of maximum likelihood analysis in political science, including discrete choice models, event count models, and duration models. Lectures combine traditional formal mathematical derivations of various estimators and their properties with Monte Carlo simulations and discussion of applications and practice.

S/U or letter grading.

When it runs

Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.

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Requisites

UCLA lists no requisites for this course.

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

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Unlocks

What this course is a requisite for, and what those courses lead to in turn.

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