MECH&AE C134
Introduction to Bayesian Statistics for Data-Driven Science and Engineering
Mechanical and Aerospace Engineering · 4 units · Undergraduate upper division (100-199)
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.
Requisites
Official UCLA wording
Requisites: course M20, Mathematics 33A.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
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 Applications
- MATH 3BCalculus for Life Sciences Students
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.
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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.