Fusion of computer chip with embedded neural network. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)
Instructor(s)
Prof. Sebastian Seung
MIT Course Number
9.530
As Taught In
Spring 2000
Level
Graduate
Course Description
Course Highlights
This course is devoted to mathematical tools for analyzing and engineering the dynamical behaviors of such biochemical networks.
Course Description
Life as an emergent property of networks of chemical reactions involving proteins and nucleic acids. Mathematical theories of metabolism, gene regulation, signal transduction, chemotaxis, excitability, motility, mitosis, development, and immunity. Applications to directed molecular evolution, DNA computing, and metabolic and genetic engineering.