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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 (40 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

Careers

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Modeling & Simulation (M&S) Developer $5k

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Modeling and Simulation SME $72k

Modeling Analyst, Marketing and Analytics $76k

Data Scientist - Predictive Modeling and Advanced Analytics $77k

Senior Analyst in Energy Analysis and Modeling Group $83k

Simulink Modeling Engineer $84k

Modeling/Sim Engineer Job $90k

Mechanical Engineer - Controls Modeling and Simulation $97k

Systems Modeling and Controls Engineer $101k

Physics Based Modeling Group Leader $111k

Senior Package Mechanical Modeling Engineer $147k

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Rating 4.6 based on 31 ratings
Length 8 weeks
Effort 8-10 hours/week
Starts Jul 17 (40 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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