Dynamical Modeling Methods for Systems Biology に戻る

4.8

137件の評価

•

26件のレビュー

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....

May 29, 2018

New to systems biology and I am really impressed with the clear explanations. Currently, on week 4 but aiming to finish to the end. Thanks to the dude who made it! :) #lifesaver

Jan 02, 2017

This is a amazing course. I've learned a lot and all the knowledge will be usable to me in my work.

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by Adrien W

•Jan 30, 2019

A+. Great course, easy to follow, and amazing instructor. Thank you Eric!

by Jim K

•Mar 05, 2016

Great course. Well taught and very useful.

by Deep H

•Jan 03, 2016

everything explained in very easy to understand way. the assignments were designed quite well- not only to test the knowledge acquired but the assignment results were designed in such a way that they will be useful in modeling.

by Hiroshi H

•Mar 14, 2016

This is a great course.

Very clear and well constructed.

by Thiago T V

•Jan 16, 2016

I liked it a lot!

by Mac D G

•Jan 17, 2018

great

by Karim H

•Mar 16, 2016

Probably the best course in this overall very nice specialization

by Eduardo S

•Jan 02, 2017

This is a amazing course. I've learned a lot and all the knowledge will be usable to me in my work.

by 李俊宏

•Sep 04, 2017

very clear explanation of ordinary differential equations

by Ricardo S

•Jun 30, 2016

T

by Sumin W

•May 27, 2016

The first week on MATLAB was a great refresher since I hadn't used MATLAB in a few years

by carlos m

•Jan 11, 2016

This is a very useful and well dessigned general course.

by Gourab B

•May 08, 2017

It was exactly what I was looking for.

by Anna M

•May 05, 2017

Great course with very good explanations!

by Elizabeth D

•May 29, 2018

New to systems biology and I am really impressed with the clear explanations. Currently, on week 4 but aiming to finish to the end. Thanks to the dude who made it! :) #lifesaver

by Shin, H K

•Apr 11, 2016

Easy to follow up and clear lectures to understand dynamical modeling methods

by Salvador C A

•Dec 10, 2015

good

by 廖文杰

•Apr 19, 2016

terrific！

by Musalula S

•Sep 11, 2016

Great course

by Stefano M

•Feb 16, 2017

Very interesting course: I'm a Computer Engineer and I found very interesting the lessons about bistability and about stochastic modelling.

by MOSQUERA Y B F

•Jul 01, 2018

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. 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.

by Hazem H

•Feb 07, 2016

it's quite very interesting

by Bill T

•Dec 17, 2015

Very informative course with good exercises. Would recommend having PDE example code, as well.

by Akhil K

•May 27, 2019

Good

by Sean F

•Mar 15, 2016

Lots of good parts to the course. Found the ODE examples very useful. Feel like it tailed off at the end in terms of detail and utility. Also, it seemed less adapted to the format than other courses such as Machine Learning by Andrew Ng and Computational Neuroscience by Rajesh Rao.