Networks in Biology

3 Credits · Level: Graduate, Undergraduate

From social networks and cities to ecosystems and evolution, methods from network science provide powerful tools for understanding and investigating natural and engineered systems. This course covers the properties of diverse biological networks and explores foundational computational methods for analyzing and visualizing networked data to generate biological insights. Based on a series of case-studies, the assignments in this course will focus on how to elucidate the structure and function of biological networks using empirical data. The course will be structured as lectures and computational labs, and evaluations will center around research projects. The lab assignments will be in Python, but no prior experience is required.