Engineering Genetic Circuits: Abstraction Methods
Learn advanced techniques for modeling genetic circuits using abstraction methods, from reaction-based models to state-based analysis.
Learn advanced techniques for modeling genetic circuits using abstraction methods, from reaction-based models to state-based analysis.
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.
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What you'll learn
Develop proficiency in reaction-based abstraction methods
Master piecewise model approximations for genetic circuits
Perform advanced Markov chain analysis
Implement state-based abstraction techniques
Analyze genetic circuit hazards using stochastic methods
Skills you'll gain
This course includes:
6.6 Hours PreRecorded video
12 assignments
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FullTime access
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There are 5 modules in this course
This comprehensive course focuses on advanced methods for abstracting and analyzing genetic circuit models. Through five modules, students learn reaction-based abstraction techniques, piecewise model approximations, Markov chain analysis, state-based abstraction methods, and infinite-state stochastic model checking. The curriculum covers both theoretical foundations and practical applications, including hazard analysis and circuit failure prediction, essential for designing reliable genetic circuits.
Reaction-based Abstraction
Module 1 · 4 Hours to complete
Piecewise Models
Module 2 · 2 Hours to complete
Markov Chain Analysis
Module 3 · 3 Hours to complete
State-based Abstraction
Module 4 · 2 Hours to complete
Infinite-state Stochastic Model Checking Case Study
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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