BIOMATH M280

Statistical Computing

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

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(Same as Biostatistics M280 and Statistics M230.) 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: Mathematics 115A, Statistics 100C.

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Requires

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

BIOMATH M280

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
STATS 100CLinear Models
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
  - MATH 31ADifferential and Integral Calculus1 more beneath
  - STATS 100AIntroduction to Probability1 more beneath
  - MATH 31BIntegration and Infinite Seriesanother path to it
  - MATH 170A

2 direct requisites. Showing 16 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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