BIOL 34500 - Computational Biology of the Cell

Course Credit: 1.25
Maximum Credit: 0

(B&MB)
Computational biology applies mathematical and computational modeling to characterize and predict complex biological processes. This course covers foundational methods used to model cell behavior in varying cellular environments, from the scale of small pathways to cell commuities. Specific topics include molecular regulartory networks, noisy signaling, cell-wide processes such as metabolism, and cellular pattern formation underlying development. A key objective is to showcase the need for theoretical and computational approaches and their power in biological/biomedical research. This course includes student-led investigation of primary literature and computational models to probe the dynamics of biological processes at multiple scales. Prerequisite(s): BIOL-20100 with minimum grade of C- and one course from BIOL-30500 (recommended), BIOL-30600, BIOL-30700, BIOL-33500, BIOL-36600, BIOL-37700, BIOL-38000, BCMB-33200, BCMB-33300, or IDPT-20013; BIOL-34500L