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Computational Systems Biology

Course # MCP6031C

2 Credit Hours
Spring Semester
Course Directors
Christian Hong, PhD| e-mail: | Phone: 513-558-5093
Tongli Zhang, PhD| e-mail: | Phone: 513-558-6156

Syllabus and Schedule (PDF)

Computational modeling is an emerging tool for biological research. In this course, students will learn how this tool can be used to help biological research. By the end of the course, the students are expected to gain insights into when and how to apply the modeling tool to help with their ongoing projects.

This course will provide the students an opportunity to learn different tools of systems biology by reading and presenting published papers in the field. Also, the students will gain some handsā€on experience by reproducing some figures that are published in these papers.

Recommended textbooks
Uri Alon, An Introduction to Systems Biology: Design Principles of Biological Circuits
Steven H. Strogatz, Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering
Christopher P. Fall, Eric S. Marland, John M. Wagner, John J. Tyson (eds.), Computational Cell Biology
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Contact Us

Systems Biology and Physiology
Graduate Program

Medical Sciences Building Room 4259A
231 Albert Sabin Way
PO Box 670576
Cincinnati, OH 45267-0576

Mail Location: 0576
Phone: 513-558-3102
FAX: 513-558-5738