Course Meeting Times
Lectures: 2 sessions / week, 1.5 hours / session
The goal of this course is to help students develop a quantitative understanding of the biological function of genetic and biochemical networks. Students will be provided with the essential mathematical tools needed to model network modules, such as biological switches, oscillators, filters, amplifiers, etc. An array of example biological problems that can be successfully tackled with a systems biology approach will be introduced by discussing recent papers on the subject. The intrinsic challenge of this class is that students are coming in with wildly different backgrounds. Read up on your biology or math if needed. Use time in the recitations to help close some of the knowledge gaps and to help you prepare for the homework.
There are three levels of complexity to Systems Biology:
- I Systems Microbiology (14 Lectures) 'The cell as a well-stirred biochemical reactor'
- II Systems Cell Biology (8 Lectures) 'The cell as a compartmentalized system with concentration gradients'
- III Systems Developmental Biology (3 Lectures) 'The cell in a social context communicating with neighboring cells'
The course notes serve as the text. For good biology reference texts, see:
Assignments, Exams, and Grading
MATLAB® will be used intensively during the course. Make sure you know or learn how to use it as it is necessary for the problem sets.
There are 5 problem sets and one take home final for the course. The grading breakdown is as follows:
|Problem set 1||15%|
|Problem set 2||15%|
|Problem set 3||15%|
|Problem set 4||15%|
|Problem set 5||15%|