ENVIRON 175
Programming with Big Environmental Datasets
Environment · 4 units · Undergraduate upper division (100-199)
Students gain practical experience conducting empirical research by learning how to program using R. Modern empirical research often requires use of powerful statistical software like R. This programming language shares many similarities with other statistical programs, providing students with valuable labor-market skill.
P/NP or letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Requisite: Life Sciences 40 or Statistics 12 or 13.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
ENVIRON 175
- LIFESCI 40Statistics of Biological Systems
- LIFESCI 30AMathematics for Life Scientists
- STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
- STATS 13Introduction to Statistical Methods for Life and Health Sciences
3 direct requisites. The whole upstream is here — 4 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
ENVIRON 175
- A&O SCI 112Climate Change Assessment
- A&O SCI 121Climate Mitigation Solutions
1 course lists this as a requisite. The whole downstream is here — 2 courses over 2 levels. Every course here opens its own tree.