Instructor(s)
Prof. Gil Alterovitz
Prof. Manolis Kellis
Prof. Marco Ramoni
MIT Course Number
6.092
As Taught In
January IAP 2005
Level
Undergraduate / Graduate
Course Description
Course Features
Course Description
This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.