Engineering Genetic Circuits: Modeling and Analysis
Learn to design, analyze, and optimize genetic circuit models using advanced simulation methods and computational tools for biological system engineering.
Learn to design, analyze, and optimize genetic circuit models using advanced simulation methods and computational tools for biological system engineering.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Engineering Genetic Circuits Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Design and analyze models of genetic circuits
Simulate circuits using ODE simulation methods
Apply stochastic simulation techniques
Use genetic technology mappers for part selection
Implement various SSA variations
Skills you'll gain
This course includes:
9.8 Hours PreRecorded video
16 assignments
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FullTime access
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There are 5 modules in this course
This advanced course focuses on modeling and analyzing genetic circuits through computational methods. Students learn to create and simulate genetic circuit models using Systems Biology Markup Language (SBML), apply ordinary differential equation (ODE) methods, and utilize stochastic simulation algorithms. The curriculum covers chemical reaction models, qualitative analysis techniques, and genetic technology mapping for optimal part selection. Through hands-on assignments using tools like iBioSim, students develop practical skills in designing and verifying genetic circuit performance.
Genetic Circuit Models
Module 1 · 6 Hours to complete
Genetic Circuit Analysis (ODEs)
Module 2 · 4 Hours to complete
Stochastic Analysis
Module 3 · 5 Hours to complete
SSA Variations
Module 4 · 3 Hours to complete
Genetic Circuit Technology Mapping
Module 5 · 4 Hours to complete
Fee Structure
Instructors
Professor of Electrical and Computer Engineering
Chris J. Myers is a Professor in the Department of Electrical and Computer Engineering at the University of Colorado Boulder, where he specializes in asynchronous circuit design and synthetic biology. He earned his B.S. degree in electrical engineering and Chinese history from the California Institute of Technology in 1991, followed by MSEE and Ph.D. degrees from Stanford University in 1993 and 1995, respectively. Prior to joining CU Boulder, he served as a professor and associate chair at the University of Utah, where he made significant contributions to the field.With over 180 technical papers to his name and several textbooks, including Asynchronous Circuit Design and Engineering Genetic Circuits, Professor Myers is a recognized leader in his research areas. His work focuses on formal verification of analog/mixed signal circuits, cyber-physical systems, and the modeling and design of genetic circuits. He has received numerous accolades throughout his career, including an NSF CAREER award and best paper awards at prestigious symposiums. As a fellow of the IEEE, he actively participates in editorial boards for various journals related to synthetic biology and engineering. Additionally, Dr. Myers plays a key role in developing standards for systems biology, serving as an editor for the Systems Biology Markup Language (SBML) standard and chairing several committees related to synthetic biology. Through his courses such as "Engineering Genetic Circuits: Abstraction Methods" and "Modeling and Analysis," he equips students with essential skills for advancing technology in these innovative fields.
PhD Graduate in Biomedical Engineering
Lukas Buecherl is a recent PhD graduate in Biomedical Engineering from the University of Colorado Boulder, where he also completed his Master's degree. He holds a Bachelor's degree in Electrical Engineering and Computer Science from the University of Ulm, Germany. Throughout his academic career, Lukas was involved in the Interdisciplinary Quantitative Biology Program, which fostered his interests at the intersection of engineering and biology. His research primarily focuses on the analysis and enhancement of genetic circuit design, employing computational modeling techniques alongside experimental validation.In addition to his research, Lukas has contributed significantly to community engagement and education. He has served on the program committee for the International Workshop of Biodesign Automation and has received multiple accolades for his mentorship and research contributions, including the Excellent Mentorship Award and the Outstanding Graduate Researcher Award from the Electrical and Computer Engineering Department at CU Boulder. His expertise extends to laboratory automation and microfluidic devices, positioning him as a rising leader in urban sustainability and resilience. Through courses such as "Engineering Genetic Circuits: Abstraction Methods" and "Modeling and Analysis," Lukas aims to equip future engineers with essential skills for advancing technology in synthetic biology.
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