STATS 102A · STAT 102AIntroduction to Computational Statistics
Statistics · 4 units · Undergraduate upper division (100-199)
Introduction to computational statistics through numerical methods and computationally intensive methods for statistical problems. Topics include statistical graphics, root finding, simulation, randomization testing, and bootstrapping. Covers intermediate to advanced programming.
P/NP or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisites: course 20, Mathematics 33A, and one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 102A
- STATS 10Introduction to Statistical Reasoning
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- ECON 41Probability and Statistics for Economists
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
- STATS 15Introduction to Data Science
- MATH 33ALinear Algebra and Applications
- STATS 20Introduction to Statistical Programming with R
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
- PSYCH 100APsychological Statistics
- COMPTNG 10AIntroduction to Programming
- PSYCH 10Introductory Psychology
8 direct requisites. The whole upstream is here — 23 courses over 3 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 102A
- STATS 131Python and Other Technologies for Data Analysis
- STATS 133Introduction to Text Mining Using R
- STATS 143Introduction to Research in Statistics
- STATS C167Introduction to Databases
- STATS C267Introduction to Databases
5 courses list this as a requisite. The whole downstream is here — 5 courses over 1 level. Every course here opens its own tree.