Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: Graduate status OR Instructor Consent.
Description
Introduction to methods for modeling, analysis, and design of genetic circuits. A particular emphasis will be given to methods inspired by those used by engineers for circuit analysis. Other topics include: learning methods such as Bayesian analysis, differential equation models, stochastic analysis using Monte Carlo methods, reaction-based and logical abstraction, and synthetic genetic circuit design.