A&O SCI M239
Modern Environmental Statistics
Atmospheric and Oceanic Sciences · 4 units · Graduate courses (200-299)
(Same as Statistics M235.) 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.
When it runs
Checking the Schedule of Classes…
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)
- · could not read "linear algebra" (no course number found)
- · could not read "statistics" (no course number found)
- · 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.
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.