Genomics, Computing, Economics, and Society OpenCourseWare: A Free Online Grad-Level Genomics Course by MIT

Published Feb 04, 2009

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Genomics is the science that study genes their function and structure, particularly focusing on gene mapping and the sequencing of DNA. 'Genomics, Computing, Economics, and Society' is a free OpenCourseWare offered by MIT. The course concentrates on how genome study can provide solutions to challenges in the fields of biology, medicine and industry. This course is recommended for graduate students earning master's degrees in Health Care Administration, Biology or related fields.

Genomics, Computing, Economics, and Society: Course Specifics

Degree Level Free Audio Video Downloads
Graduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
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Genomics, Computing, Economics, and Society: Course Description

The rapid advances that are being made in genomic research and the virtually unlimited range of possible applications, including medical diagnostics and the treatment of diseases has led to many studies and public discussions about its use. 'Genomics, Computing, Economics, and Society,' is a free course presented by Professor George Church of the Massachusetts Institute of Technology's Department of Health Science and Technology. This course evaluates and assesses the technological, economical, ecological and societal impact associated with genomic science. Presenting the course through a series of lectures, Professor Church encourages students to augment their understanding of genomic science with useful tools for making sound decisions in the realms of politics and business. Students are encouraged to pay particular attention to the fresh perspectives presented in the areas of bioengineering, personalized medicine, stem cell research, and genetically modified organisms. A wide variety of topics are covered in the lectures, including metabolic networks and new energy sources and personalized medicine. Students who complete this course will develop skills in statistical analysis, data mining and systems biology.

The materials for the OpenCourseWare include lecture notes and a list of suggested readings and related resources. If you would like to take this free course, visit the genomics, computing, economics and society course page.

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