[CSBi-events] New course: 6.095/6.895: Computational Biology: Genomes, Networks, Evolution

[csbi-events@mit.edu]

New course Fall 2005:

6.095(U) / 6.895(G)
Computational Biology:  Genomes, Networks, Evolution
Profs. Manolis Kellis and Piotr Indyk

http://compbio.mit.edu/6.895/
Lectures: TR11-12:30 in 3-370

Covers the algorithmic and machine learning foundations of
computational biology, combining theory with practice.
We study the principles of algorithm design for biological
datasets, and analyze influential problems and techniques.
We use these to analyze real datasets from large-scale
studies in genomics and proteomics.

Topics include:
* Genomes: Biological sequence analysis, hidden Markov models,
   gene finding, RNA folding, sequence alignment, genome assembly.
* Networks: Gene expression analysis, regulatory motifs, graph
   algorithms, scale-free networks, network motifs, network evolution.
* Evolution: Comparative genomics, phylogenetics, genome duplication,
   genome rearrangements, evolutionary theory, rapid evolution.

First class meets on Thursday Sept 8 at 11am in 3-370.

More Information:  http://compbio.mit.edu/6.895/
TA: Pouya Kheradpour
Units: 3-0-9
Prerequisites: 6.001, 7.01, 6.041
Engineering Concentration: Theory of Computer Science

Course numbers:
6.095 (U): Undergraduate version.
            Includes midterm, final project. No final exam.
6.895 (G): The graduate version of the course includes additional
            assignments, a more ambitious final project, which can
            lead to a thesis / publication.