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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 1 Sequence Analysis
Lab 2 Expression theme-based Lab
Lab 3 Proteomics and Systems theme-based Lab
Final Project Student selected based on one of the four themes of course


Grading

ACTIVITIES PERCENTAGES
Labs 40%
Final Project 50%
Participation 10%