Dynamical Modeling Methods for Systems Biology
- Offered byCoursera
- Public/Government Institute
Dynamical Modeling Methods for Systems Biology at Coursera Overview
Duration | 19 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Dynamical Modeling Methods for Systems Biology at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 6 in the Systems Biology and Biotechnology Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Approx. 19 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Dynamical Modeling Methods for Systems Biology at Coursera Course details
- An introduction to dynamical modeling techniques used in contemporary Systems Biology research.
- We take a case-based approach to teach contemporary mathematical modeling
- techniques. The course is appropriate for advanced undergraduates and beginning graduate students. Lectures provide biological background and describe the development of both classical mathematical models and more recent representations of biological processes. The course will be useful for students who plan to use experimental techniques as their approach in the laboratory and employ computational modeling as a tool to draw deeper understanding of experiments. The course should also be valuable as an introductory overview for students planning to conduct original research in modeling biological systems.
- This course focuses on dynamical modeling techniques used in Systems Biology research. These techniques are based on biological mechanisms, and simulations with these models generate predictions that can subsequently be tested experimentally. These testable predictions frequently provide novel insight into biological processes. The approaches taught here can be grouped into the following categories: 1) ordinary differential equation-based models, 2) partial differential equation-based models, and 3) stochastic models.
Dynamical Modeling Methods for Systems Biology at Coursera Curriculum
Introduction
Computing with MATLAB
Lecture 1 - Introduction
Lecture 2 - Computing with MATLAB - Part 1
Lecture 3 - Computing with MATLAB - Part 2
Lecture 4 - Computing with MATLAB - Part 3
Lecture 5 - Computing with MATLAB - Part 4
Syllabus
Supplemental Files
MATLAB Licenses
Lecture Slides
Lecture Slides
Supplementary Files
Just In Time MATLAB Tutorials
Lecture Slides
Supplementary Files
Assignment 1
Introduction to Dynamical Systems
Lecture 6 - Introduction to Dynamical Systems - Part 1
Lecture 7 - Introduction to Dynamical Systems - Part 2
Lecture 8 - Introduction to Dynamical Systems - Part 3
Lecture 9 - Introduction to Dynamical Systems - Part 4
Lecture Slides
Lecture Slides
Lecture Slides
Lecture Slides
Assignment 2
Bistability in Biochemical Signaling Models
Lecture 10 - Bistability in Biochemical Signaling Models - Part 1
Lecture 11 - Bistability in Biochemical Signaling Models - Part 2
Lecture 12 - Bistability in Biochemical Signaling Models - Part 3
Lecture 13 - Bistability in Biochemical Signaling Models - Part 4
Lecture 14 - Bistability in Biochemical Signaling Models - Part 5
Lecture 15 - Bistability in Biochemical Signaling Models - Part 6
Lecture Slides
Lecture Slides
Lecture Slides
Lecture Slides
Assignment 3
Computational Modeling of the Cell Cycle
Lecture 16 - Computational Modeling of the Cell Cycle - Part 1
Lecture 17 - Computational Modeling of the Cell Cycle - Part 2
Lecture 18 - Computational Modeling of the Cell Cycle - Part 3
Lecture 19 - Computational Modeling of the Cell Cycle - Part 4
Lecture Slides
Lecture Slides
Lecture Slides
Assignment 4
Modeling Electrical Signaling
Lecture 20 - Mathematical Models of Action Potentials - Part 1
Lecture 21 - Mathematical Models of Action Potentials - Part 2
Lecture 22 - Mathematical Models of Action Potentials - Part 3
Lecture 23 - Mathematical Models of Action Potentials - Part 4
Lecture 24 - Mathematical Models of Action Potentials - Part 5
Lecture 25 - Mathematical Models of Action Potentials - Part 6
Lecture Slides
Lecture Slides
Lecture Slides
Lecture Slides
Lecture Slides
Assignment 5
Modeling with Partial Differential Equations
Lecture 26 - Modeling with Partial Differential Equations - Part 1
Lecture 27 - Modeling with Partial Differential Equations - Part 2
Lecture 28 - Modeling with Partial Differential Equations - Part 3
Lecture Slides
Lecture Slides
Stochastic Modeling
Lecture 29 - Stochastic Modeling - Part 1
Lecture 30 - Stochastic Modeling - Part 2
Lecture Slides
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