Dynamical Modeling Methods for Systems Biology
Systems Biology and Biotechnology,
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.
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| Rating | 4.6★ based on 31 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8-10 hours/week |
| Starts | Jul 17 (21 weeks ago) |
| Cost | $49 |
| From | Icahn School of Medicine at Mount Sinai via Coursera |
| Instructors | Eric Sobie, PhD, Iman Tavassoly, MD, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Mathematics |
| Tags | Life Sciences Bioinformatics Math And Logic Health Informatics |
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What people are saying
best online class ever
i didn't understand about this course but i interest to enhance my english ability, because i'm looking for an overseas scholarship needing english certificate as require Best online class ever!
sobie va muy rápido
Eric Sobie va muy rápido, el cambio entre diapositivas no tiene una pausa y continua de corrido, es por ello que en algunas ocasiones repetía o erraba la idea que continuaba.
al contenido del curso
Personalmente, tuve que pausar muchas veces los videos para deternerme a analizar lo que Eric decía.En cuanto al contenido del curso, me pareció fantástico, topando hitos históricos de modelos matemáticos en Sistemas Biológicos y manipulando el código en MATLAB por nuestra propia cuenta.
cambio entre diapositivas no
having pde example code
Would recommend having PDE example code, as well.
los videos para deternerme
no tiene una pausa
algunas ocasiones repetía
decía.en cuanto al
dude who made
Thanks to the dude who made it!
andrew ng
Also, it seemed less adapted to the format than other courses such as Machine Learning by Andrew Ng and Computational Neuroscience by Rajesh Rao.
computational neuroscience
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| Rating | 4.6★ based on 31 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8-10 hours/week |
| Starts | Jul 17 (21 weeks ago) |
| Cost | $49 |
| From | Icahn School of Medicine at Mount Sinai via Coursera |
| Instructors | Eric Sobie, PhD, Iman Tavassoly, MD, PhD |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Science Mathematics |
| Tags | Life Sciences Bioinformatics Math And Logic Health Informatics |
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