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Courses - Spring 2017
CMSC
Computer Science Department Site
CMSC703
Network Analysis and Modeling of Biological Systems
Credits: 3
Grad Meth: Reg, Aud
Restriction: Must be in one of the following programs (Computer Science (Doctoral); Computer Science (Master's); Applied Mathematics and Scientific Computation (Doctoral); Applied Mathematics and Scientific Computation (Master's)) ; or permission of instructor.
An introduction to the computational network analysis and modeling of biological systems focusing on transcriptional, protein, signaling and metabolic networks (with primary emphasis on integrating the former within the latter). Computational methods studied for this type of analysis include: network and graph algorithms, network-based machine learning approaches, modeling dynamical systems, numerical optimization (linear, integer and quadratic programming) and a variety of other methods used to solve constraint based problems (primarily in the context of studying metabolic networks). These methods are complementary to those studied in CMSC701 and CMSC702.