Systems Biology
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Course Description
Complex biological behaviors through the integration of computational modeling and molecular biology. Topics: reconstructing biological networks from high-throughput data and knowledge bases. Network properties. Computational modeling of network behaviors at the small and large scale. Using model predictions to guide an experimental program. Robustness, noise, and cellular variation. Prerequisites: CME 102; BIO 82, BIO 84; or consent of instructor.
Cross Listed Courses
Grading Basis
RLT - Letter (ABCD/NP)
Min
3
Max
3
Course Repeatable for Degree Credit?
No
Course Component
Discussion
Enrollment Optional?
Yes
Course Component
Lecture
Enrollment Optional?
No
This course has been approved for the following WAYS
Applied Quantitative Reasoning (AQR)
Does this course satisfy the University Language Requirement?
No
Programs
BIOE101
is a
completion requirement
for: