ES_APPM 375-2
Quantitative Biology II: Experiments, Data, Models, and Analysis
High-resolution, high-throughput, and dynamic imaging and sequencing data is the substrate of modern biology. In this course we learn how to perform experiments, and computational work with, analyze, and make sense of experimental dataset using fundamental principles of mathematics, statistics, and physics. No formal course prerequisites. Programming in python.
Prerequisites & course information
SoC Mathematics, Science, and Technology Distro
Sources
- Course catalogue ↗2026–2027
- Catalogue entry ↗
Catalogue variants
- Quantitative Biology II: Experiments, Data, Models, and Analysis · 1 Unit · Undergraduate