MATH 540
Mathematics of Biological Networks
This course explores methods and principles for constructing structure and function of biological networks using real datasets. After introducing basic linear algebra and MATLAB, we will discuss properties of networks, genomics technologies, spectral graph theory, Laplacians (Fiedler number and Fiedler vector), Network inference and controllability, Dynamic Mode Decomposition, Tensor Factorizations.
Prerequisites & course information
(BS). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
Catalogue variants
- Mathematics of Biological Networks · Graduate credit