STATS 210 · STAT 210Computer Intensive Methods
Statistics · 4 units · Graduate courses (200-299)
Overview of theory and practice of computer-based methods for statistical inference and uncertainty quantification, including bootstrap, resampling, computer simulation, and Monte Carlo sampling. Coverage of nonparametric and parametric bootstrap, bootstrap inference, permutation test, cross-validation, likelihood approximation, importance sampling, and Markov chain Monte Carlo with brief introduction to Bayesian inference and missing data problems.
S/U or 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
Recommended requisite: course 200B. Recommended preparation: programming skills in R, C/C++, MATLAB.
BruinTree reads · Recommended
needs reviewconfidence 0.00 · from text- · could not read "programming skills in R" (no course number found)
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- · no course reference could be read from this requisite
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 210
- STATS 200BTheoretical Statistics
1 direct requisite. The whole upstream is here — 1 course over 1 level. 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.