MATH 481 - Modeling of Biological Systems

Quantitative techniques have become a crucial tool in recent years for analyzing biological systems, a field which has been flooded with highly detailed experimental data due to new advanced data acquisition techniques in the biological sciences. This interdisciplinary research tutorial explores the analysis of biological systems using quantitative approaches such as mathematical modeling, statistical learning, and computer programming. Research topics include (but are not limited to) gene regulation, disease networks, and cell cycle regulation.

Credits: 1.00
Crosslisted: BIOL 481
When Offered: Spring semester only

Corequisite: None
Prerequisites: None
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts CORE: None

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