Engineering Genetic Circuits: Abstraction Methods
$49
ENROLL NOWCourse Overview
What You'll Learn
- This course introduces how to perform abstraction of genetic circuit models.
- The first module teaches reaction-based abstraction methods that apply steady-state approximations to reduce the complexity and improve the analysis time of these models.
- The second module describes piecewise approximations to simplify non-linear reaction-based models of genetic circuits.
This course introduces how to perform abstraction of genetic circuit models. The first module teaches reaction-based abstraction methods that apply steady-state approximations to reduce the complexity and improve the analysis time of these models. The second module describes piecewise approximations to simplify non-linear reaction-based models of genetic circuits. The third module presents Markov chain models and methods for analyzing them. The fourth module provides methods to abstract models even further using state-based abstraction methods. Finally, the fifth module demonstrates methods, such as infinite-state stochastic model checking, to determine the likelihood that a genetic circuit hazard will cause circuit failure. This course can also be taken for academic credit as ECEA 5935, part of CU Boulder’s Master of Science in Electrical Engineering.
Course FAQs
Is this an accredited online course?
Accreditation for 'Engineering Genetic Circuits: Abstraction Methods' is determined by the provider, University of Colorado Boulder. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
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How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Engineering Genetic Circuits: Abstraction Methods' on the University of Colorado Boulder online class platform, where you can complete your registration.
