MECH&AE C234

Introduction to Bayesian Statistics for Data-Driven Science and Engineering

Mechanical and Aerospace Engineering · 4 units · Graduate courses (200-299)

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Introduction to Bayesian statistics, with focus on development of intuition and implementation through probabilistic programming. Topics include basics of probability and statistics, Bayesian regression, Bayesian model comparison, sampling, Gaussian processes, Bayesian optimization, and uncertainty quantification. Concurrently scheduled with course C134.

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

Official UCLA wording
Requisites: course M20, Mathematics 33A.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

all of

Requires

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

MECH&AE C234

MECH&AE M20Introduction to Computer Programming with MATLAB
- MATH 33ALinear Algebra and Applicationsanother path to it
MATH 33ALinear Algebra and Applications
- MATH 3BCalculus for Life Sciences Students
  - MATH 3ACalculus for Life Sciences Students1 more beneath

Unlocks

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

No course in the catalog lists this as a requisite.