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9.530 Cellular and Molecular Computation, Spring 2000

Fusion of computer chip with embedded neural network.
Fusion of computer chip with embedded neural network. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)

Highlights of this Course

This course is devoted to mathematical tools for analyzing and engineering the dynamical behaviors of such biochemical networks. This web site contains an extensive reading list, and sample assignments. The related resources will allow you to further explore cellular and molecular computation.

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.

 

Staff

Instructor:
Prof. Sebastian Seung

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate

Additional Features

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