Math 6790
Case Studies in Computational Engineering and Science:
Modeling and Analysis of Biological Networks

Course description

With the sequencing of the human genome and the genomes of other organisms, we now have a list of the parts that make up these biological systems. Through the use of microarrays and other new technologies, we are also beginning to obtain data on how genes interact with each other to perform complex biological functions. To reason about these genetic circuits, a systems biology perspective is necessary in which new models and efficient analysis techniques must be developed. Given our vast experience in reasoning about complex electronic circuits, engineers are uniquely equipped to assist with this effort. It is not difficult to develop a view of a genetic circuit as a electronic circuit. Such a view was taken by McAdams and Shapiro in their seminal paper with encouraging results (Science1995). Therefore, as in the sequencing of the human genome, collaborations between engineers and biologists will be essential to the success of systems biology. The goal of this course is to facilitate these collaborations by teaching both the biological and engineering principles necessary for such research.


Instructor: Dr. Chris Myers


Students should either have some familiarity with genetics, cell biology, molecular biology, or biochemistry OR engineering methods for modeling, analysis, and design. Students are not expected to have a knowledge in both.


One is being prepared by the instructor.

Course Requirements

Meeting Times

Class 2:00pm - 3:20pm TTh Dr. Myers MEB 3105
Office Hours 1pm - 2pm TTh Dr. Myers MEB 4112

Tentative Syllabus

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