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STATS M230 · STAT M230Statistical 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.

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 100C, Mathematics 115A.

BruinTree reads · Prerequisite

confidence 1.00 · from text
all of
  • STATS 100C
  • MATH 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
      • STATS 100AIntroduction to Probabilityanother path to it
      • MATH 31ADifferential and Integral Calculus1 more beneath
      • MATH 31BIntegration and Infinite Seriesanother path to it
      • MATH 170AProbability Theory Ianother path to it
  • 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.

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.