Engineering Genetic Circuits: Modeling and Analysis

This course gives an introduction to how to create genetic circuit models. These models leverage chemical reactions represented using the Systems Biology Markup Language (SBML). The second module introduces methods to simulate these models using ordinary differential equation (ODE) methods. The third module teach stochastic simulation methods. The fourth module introduces several variations of the stochastic simulation algorithm. Finally, the fifth module introduces genetic technology method that leverage computational analysis for selecting parts and verifying their performance. This course can also be taken for academic credit as ECEA 5935, part of CU Boulder’s Master of Science in Electrical Engineering

• Design and analyze genetic circuit models
• Simulate models using ordinary differential equations methods
• Apply stochastic simulation methods to models
• Utilize genetic technology tools for part selection and performance analysis

• Basic familiarity with terminology and concepts
• Willingness to engage in practical exercises and case studies