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 Genomics, Computing, Economics, and Society  posted by  duggu   on 11/24/2007  Add Courseware to favorites Add To Favorites  
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Church, George, Jeremy Zucker, Shawn Douglas, and Alexander Wait, HST.510 Genomics, Computing, Economics, and Society, Fall 2005. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed 09 Jul, 2010). License: Creative Commons BY-NC-SA

Fall 2005

Illustration of human figure and internal organs.
Personalized medicine is the diagnosis and treatment of patients using knowledge of characteristics that are unique to a given a patient, such as genotype and personal history. (Figure by MIT OCW.)

Course Highlights

This course features a selection of downloadable lecture notes and a bibliography of readings.

Course Description

This course will focus on understanding aspects of modern technology displaying exponential growth curves and the impact on global quality of life through a weekly updated class project integrating knowledge and providing practical tools for political and business decision-making concerning new aspects of bioengineering, personalized medicine, genetically modified organisms, and stem cells. Interplays of economic, ethical, ecological, and biophysical modeling will be explored through multi-disciplinary teams of students, and individual brief reports.



Course Format

This year will emphasize one coherent team project (in contrast to the 2000-2003 focus on problem sets with a small project at the end). This will be facilitated by a shared wiki course Web site and class discussion that includes a round robin approach to make sure all voices are heard. Each student will participate in a class-wide project to provide decision-making tools for global/local technology development and deployment. By the second class session, each student is required to have a web page or wiki that describes their part of the class project that will have on-going updates during the evolution of their work over the course of the semester.

The specific (standard) skills students are to develop include statistics, modeling, datamining, systems biology, and technology development.


No prerequisites. It is assumed that each of you brings some expertise to be integrated with the goals and talents of other team members. Each student should make this clear at the start of the project and build on it as the course proceeds.


Grades will be based on:

Participation (Round Robin) 25%
Personal Wiki Page (Weekly) 25%
Contribution to Group Project/Article 25%
Peer Evaluations 25%



WeEK # Topics
1 Class Organization
2 Choose Projects

Exercise - A Quantitative Definition of Life
3 New Energy Sources and Personalized Medicine
4 Biosphere Facts
5 Project Literature Review
6 Metabolic Networks and Learning Perl
7 Midterm Evaluation
8 101 Uses for 1000 Genomes
9 Personalized Medicine and Class Project Updates
10 Presentation on ENCODE and OMIM

Readings Discussion and Class Project Updates
11 Aligned Genomes and Statistically Significant Mutations

Readings Discussion and Class Project Updates (cont.)
12 LWP - The World-Wide Web Library for Perl

Readings Discussion and Class Project Updates (cont.)
13 Presentations
14 Wrap-up   Tell A Friend