Chevron Left
Back to Dynamical Modeling Methods for Systems Biology

Learner Reviews & Feedback for Dynamical Modeling Methods for Systems Biology by Icahn School of Medicine at Mount Sinai

140 ratings
26 reviews

About the Course

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....

Top reviews


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.

Filter by:

26 - 27 of 27 Reviews for Dynamical Modeling Methods for Systems Biology

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.

By Jonathan G

Mar 31, 2016

a little too much for my taste, but I learned a lot cellular biology.