Courses:

Bioinformatics and Proteomics >> Content Detail



Syllabus



Syllabus

Abstract

Interdisciplinary and hands-on approach 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 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. New research areas explored using current literature and book chapter materials written by instructors. Guest lecturers from industry and academia. Graduate students particularly encouraged to register. Graduate level problem sets available for those who want them.

Date

Winter 2005

Student Prerequisites

7.012 or equivalent recommended

6.003 or equivalent recommended

6.041 or equivalent recommended

Course Directors

Gil Alterovitz, Marco Ramoni, Manolis Kellis

Time

Lecture (twice a week), 11:00 am-12:30 pm

Lab, 9:00 am-10:40 am

Labs

LAB #ACTIVITIES
Lab 1Sequence Analysis
Lab 2Expression theme-based Lab
Lab 3Proteomics and Systems theme-based Lab
Final ProjectStudent selected based on one of the four themes of course


Grading

ACTIVITIESPERCENTAGES
Labs40%
Final Project50%
Participation10%

 








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