STATS 102B · STAT 102BIntroduction to Computation and Optimization for Statistics
Statistics · 4 units · Undergraduate upper division (100-199)
Introduction to computational methods and optimization useful for statisticians. Use of computer programming to solve statistical problems. Topics include vector/matrix computation, multivariate normal distribution, principal component analysis, clustering analysis, gradient-based optimization, EM algorithm for missing data, and dynamic programming.
P/NP or letter grading.
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Requisites
Official UCLA wording
Requisites: courses 100B (or Mathematics 170S), 102A, Mathematics 33A.
BruinTree reads · Prerequisite
needs reviewconfidence 0.90 · from text- · "MATH 102A" is not in this catalog version
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 102B
- STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
- MATH 32BCalculus of Several Variables
- MATH 170AProbability Theory I
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- MATH 33ALinear Algebra and Applications
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
3 direct requisites. Showing 23 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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