BIOENGR 223A
Biomedical Data Sciences Research Laboratory I
Bioengineering · 4 units · Graduate courses (200-299)
Course 223A is requisite to 223B, which is requisite to 223C. Designed for graduate students. Researchers and faculty from the school of medicine present challenges and datasets from the health care system. Small student teams choose a project and develop a data science solution. Potential projects cover a variety of topics including medical image analysis, natural language processing of clinical text, and waveform analysis of biosignals. Review of research topics such as experimental design and statistical analysis as well as introducing data science techniques related to image analysis and artificial intelligence.
Letter grading.
Requisites
Official UCLA wording
Requisites: Computer Science 31, 32, Program in Computing 16A, 16B.
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.
BIOENGR 223A
- COM SCI 31Introduction to Computer Science I
- COMPTNG 16APython with Applications I
- COMPTNG 10AIntroduction to Programming
- COM SCI 32Introduction to Computer Science II
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOENGR 223A
- BIOENGR 223BBiomedical Data Sciences Research Laboratory II
- BIOENGR 223CProgramming Laboratory for Medical and Imaging Informatics III
1 course lists this as a requisite. The whole downstream is here — 2 courses over 2 levels. Every course here opens its own tree.