BIOL 282 - Problem Solving in Biological Systems: A Modeling Approach

FDR: SL
Credits: 4

Prerequisite: MATH 101. Biological systems are incredibly complex and include multiple interactions, which makes them hard to understand and to predict the outcomes. In this course, students learn how to solve complex problems inspired by biological systems
using a modeling approach. Students learn to identify most essential elements of biological systems, construct the
verbal and graphical models, translate them to a computational software, and make predictions that are relevant for
health policy, conservation efforts, or experimental outcomes. The topics include spread of infectious diseases,
population dynamics, physiology, and neuroscience. Laboratory course. Toporikova.