6.091 - Bioinformatics and Proteomics
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. New research areas will be explored using current literature as
well as text from book chapter materials being written by the
instructors. Guest lectures include speakers from both industry and
academia.
Time: Tuesday and Thursday, 11:00 am-12:30 pm
Units: 3 credits (1-0-2)
Type: G level and/or upper undergraduate.
Prerequisites:
7.012, 7.013, or 7.014 or equivalent recommended
6.003 or equivalent recommended
6.041 or equivalent recommended
See also: HST480
Resources
Syllabus
Lectures, homeworks, Software, Refs
Manolis Kellis