BIEN 249V: Integration of Computational and Experi­ mental Biology

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Units: 4

Hours: Lecture, 4 hours; consultation and interaction with student via web-based interactive system (e.g., skype) for 1 hour per week

Catalog page 121

Prerequisites: BIOL 005B; MATH 010B; MATH 046; PHYS 040C; graduate standing; consent of the instructor; enrollment in the Online Masters-of-Science in Engineering Program

Description: A multidisciplinary introduction to computational methods used to analyze experimental biological data. Introduction to mathematical concepts needed to understand protein structure and dynamics, protein-protein interactions (structures and networks), gene regulatory networks, signal transduction networks, metabolic networks, and kinetic modeling of cellular processes. Also covers techniques used to derive experimental data.

Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor. Credit is awarded for only one of BIEN 249/CEE 249 or BIEN 249V.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.