BIOMATH 265A
Data Analysis Strategies I
Biomathematics · 4 units · Graduate courses (200-299)
Designed to provide students with hands-on experience developing and testing hypotheses using various types of databases. Topics include developing testable hypothesis, data management, and analysis strategies and written presentation of findings. Experience with full process of hypothesis generation, operationalization of variables, selection of analysis techniques, and presentation of findings so students are better prepared to complete data analysis, interpretation of results, and written presentation of their findings (e.g., for master’s thesis and subsequent articles). Students encouraged to provide their own data. Databases provided for use in completing exercises for those without available data.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Preparation: MD or PhD degree. Requisite: course 170A.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
- · could not read "MD" (no course number found)
- · could not read "PhD degree" (no course number found)
- · no course reference could be read from this requisite
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOMATH 265A
- BIOMATH 170AIntroductory Biomathematics for Medical Investigators
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOMATH 265A
- BIOMATH 260AMethodology in Clinical Research I
- BIOMATH 260BMethodology in Clinical Research II
- BIOMATH 265BData Analysis Strategies II
3 courses list this as a requisite. The whole downstream is here — 4 courses over 2 levels. Every course here opens its own tree.