STATS M235
Modern Environmental Statistics
Statistics · 4 units · Graduate courses (200-299)
(Same as Atmospheric and Oceanic Sciences M239.) Limited to graduate students. Recommended: background in coding. Focus on understanding and application of statistical tools for environmental datasets through close reading and discussion of modern and classic statistical and scientific papers. Topics may include Bayesian modeling, hypothesis testing, regression, causality, multidimensional data analysis, time series modeling, and extreme value analysis. Most papers focus on statistical approaches in climate science.
S/U or letter grading.
Requisites
Official UCLA wording
Preparation: undergraduate-level calculus, linear algebra, and statistics.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "undergraduate-level calculus" (no course number found)
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- · could not read "statistics" (no course number found)
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Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
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.