C&EE 251E · CEE 251EEnvironmental Data Analysis
Civil and Environmental Engineering · 4 units · Graduate courses (200-299)
Covers methods for analyzing time series and spatial data within the context of environmental datasets (both air and water). Techniques covered include regressions, correlations, interpolations, spectral analysis, empirical orthogonal functions, clustering, and random forest. Focus on practical applications. Culminates in a final project where students apply these techniques to a research question of their choice. May be repeated once for credit.
Letter grading.
When it runs
- Fall 2025
- Fall 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Recommended preparation: some knowledge of MATLAB or Python.
BruinTree reads · Recommended
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "some knowledge of MATLAB" (no course number found)
- · could not read "Python" (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.