02-730 Cell and Systems Modeling
12 units, Carnegie Mellon University
This course will introduce students to the theory and practice of modeling biological systems from the molecular to the organism level with an emphasis on intracellular processes. Topics covered include kinetic and equilibrium descriptions of biological processes, systematic approaches to model building and parameter estimation, analysis of biochemical circuits modeled as differential equations, modeling the effects of noise using stochastic methods, modeling spatial effects, and modeling at higher levels of abstraction or scale using logical or agentbased approaches. A range of biological models and applications will be considered including gene regulatory networks, cell signaling, and cell cycle regulation. Weekly lab sessions will provide students handson experience with methods and models presented in class. Course requirements include regular class participation, biweekly homework assignments, a takehome exam, and a final project. The course is designed for graduate and upperlevel undergraduate students with a wide variety of backgrounds. The course is intended to be selfcontained but students may need to do some additional work to gain fluency in core concepts. Students should have a basic knowledge of calculus, differential equations, and chemistry as well as some previous exposure to molecular biology and biochemistry. Experience with programming and numerical computation is useful but not mandatory. Laboratory exercises will use MATLAB as the primary modeling and computational tool augmented by additional software as needed. THIS COURSE WILL BE AT PITT
Prerequisites: (03-121 or 03-151 or 33-121) and (03-232 or 03-231) and 21-112 and 09-105
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