20.181 | Fall 2006 | Undergraduate

Computation for Biological Engineers

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 …

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.

Learning Resource Types
Lecture Notes
Problem Sets with Solutions
Exams with Solutions
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.)