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MECH&AE C134 · MAE C134Introduction to Bayesian Statistics for Data-Driven Science and Engineering

Mechanical and Aerospace Engineering · 4 units · Undergraduate upper division (100-199)

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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 C234.

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.

Requisites

Official UCLA wording

Requisites: course M20, Mathematics 33A.

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data
all of
  • MECH&AE M20
  • MATH 33A

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Requires

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

MECH&AE C134

  • 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
    • MATH 31BIntegration and Infinite Series
      • MATH 31ADifferential and Integral Calculus1 more beneath
    • MATH 32ACalculus of Several Variables
      • MATH 31ADifferential and Integral Calculusanother path to it

2 direct requisites. Showing 9 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

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.