Computation for Biological Engineers

Schematic of protein folding.

Image of protein Zif28-GCN4, adapted from Wolfe, et al., Crystal Structure of a Zif23-GCN4 Chimera Bound to DNA, in the RCSB Protein Databank. (Figure by Prof. Andrew Endy.)

Instructor(s)

MIT Course Number

20.181

As Taught In

Fall 2006

Level

Undergraduate

Cite This Course

Course Features

Course Description

This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pattern recognition.

An official course Web site and Wiki is maintained on OpenWetWare: 20.181 Computation for Biological Engineers.

Alm, Eric, and Andrew Endy. 20.181 Computation for Biological Engineers, Fall 2006. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/biological-engineering/20-181-computation-for-biological-engineers-fall-2006 (Accessed). License: Creative Commons BY-NC-SA


For more information about using these materials and the Creative Commons license, see our Terms of Use.


Close