STATS M230

Statistical Computing

Statistics · 4 units · Graduate courses (200-299)

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(Same as Biomathematics M280 and Biostatistics M280.) Introduction to theory and design of statistical programs: computing methods for linear and nonlinear regression, dealing with constraints, robust estimation, and general maximum likelihood methods.

Letter grading.

Requisites

Official UCLA wording
Requisites: course 100C, Mathematics 115A.

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Requires

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

STATS M230

STATS 100CLinear Models
- STATS 100BIntroduction to Mathematical Statistics
  - STATS 100AIntroduction to Probability1 more beneath
  - MATH 170AProbability Theory I2 more beneath
  - MATH 170EIntroduction to Probability and Statistics 1: Probability1 more beneath
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
MATH 115ALinear Algebra
- MATH 33ALinear Algebra and Applications
  - MATH 3BCalculus for Life Sciences Students1 more beneath
  - MATH 31BIntegration and Infinite Series
  - MATH 32ACalculus of Several Variables

2 direct requisites. Showing 15 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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