MATH 481 - Investigations in Computational Biology

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. The research themes include (but are not limited to) mathematical modeling of key biological systems including human circadian clock, as well as analysis of human diseases using genomic datasets and machine learning.

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 Practices: Quantitative and Algorithmic Reasoning and The Process of Writing
Core Component: None

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