BIOMATH 204Biomedical Data Analysis
Biomathematics · 4 units · Graduate courses (200-299)
Familiarity with elementary matrix algebra and previous programming experience are strongly preferred. Modern scientific research and quality and quantity of data have been greatly affected by rapid expansion of statistical computing software. Problem-oriented study of latest methods in applied statistical data analysis and its use arising in laboratory and clinical research.
S/U or letter grading.
When it runs
- Spring 2026
- Spring 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: at least one course in probability or statistics that included basic probability, elementary distributions, hypothesis testing, and confidence intervals; knowledge of elementary calculus.
BruinTree reads · Prerequisite
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "at least one course in probability" (no course number found)
- · could not read "statistics that included basic probability" (no course number found)
- · could not read "elementary distributions" (no course number found)
- · could not read "hypothesis testing" (no course number found)
- · could not read "confidence intervals" (no course number found)
- · could not read "knowledge of elementary calculus" (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.