BIOL 302 - Systems Biology

Systems biology is an emerging interdisciplinary field that employs quantitative methodologies to gain a system-level understanding of the complex interactions of biological processes. Students focus on the applications of mathematical techniques such as differential equations, machine learning, network science, and modeling (e.g., Boolean and stochastic modeling) to the study of gene regulation, signal transduction pathways, small- and large-scale biological networks, and human diseases. Students also learn how to analyze biological questions using computer software.

Credits: 1.00
Crosslisted:

MATH 302

Corequisite: None
Prerequisites: (

MATH 161

) and (

)
Major/Minor Restrictions: None
Class Restriction: None
Area of Inquiry: Natural Sciences & Mathematics
Liberal Arts Practices: Quantitative and Algorithmic Reasoning
Core Component: None

Click here for Course Offerings by term