Dynamical Modeling Methods for Systems Biology
Master mathematical modeling techniques for biological systems, including differential equations and stochastic modeling using MATLAB.
Master mathematical modeling techniques for biological systems, including differential equations and stochastic modeling using MATLAB.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Systems Biology and Biotechnology Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Develop mathematical models of biological systems
Implement computational solutions using MATLAB
Analyze bistability in biochemical signaling
Model cell cycle and electrical signaling
Apply stochastic modeling techniques
Skills you'll gain
This course includes:
11.6 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 7 modules in this course
This comprehensive course teaches advanced mathematical modeling techniques used in systems biology research. Students learn to develop and analyze various types of models including ordinary differential equations, partial differential equations, and stochastic models. The curriculum covers practical applications using MATLAB, from basic computation to complex biological system simulations. Through case studies in cell signaling, cell cycle dynamics, and electrical signaling, students gain hands-on experience in creating testable predictions for biological processes.
Introduction| Computing MATLAB
Module 1 · 4 Hours to complete
Introduction to Dynamical Systems
Module 2 · 2 Hours to complete
Bistability in Biochemical Signaling Models
Module 3 · 3 Hours to complete
Computational Modeling of the Cell Cycle
Module 4 · 2 Hours to complete
Modeling Electrical Signaling
Module 5 · 3 Hours to complete
Modeling with Partial Differential Equations
Module 6 · 1 Hours to complete
Stochastic Modeling
Module 7 · 45 Minutes to complete
Fee Structure
Instructor
Associate Professor
Dr. Eric Sobie is an Associate Professor in the Department of Pharmacology and Systems Therapeutics at the Icahn School of Medicine at Mount Sinai, where he is also a member of the Systems Biology Center New York. His research focuses on enhancing the quantitative understanding of cardiac physiology and pathophysiology by integrating experimental studies with mathematical modeling. Dr. Sobie aims to elucidate the mechanisms underlying heart function and disease, employing a combination of simulations and experimental data to inform his findings. He co-directs the PhD program in Systems Biology of Disease and Therapeutics, where he has developed new courses to incorporate quantitative training into the biomedical sciences curriculum.Dr. Sobie teaches the course Dynamical Modeling Methods for Systems Biology, which provides students with essential skills in mathematical modeling techniques used in contemporary systems biology research. His contributions to the field are reflected in his extensive publication record, with numerous articles focusing on biophysics, cardiovascular dynamics, and computational biology. Through his innovative research and teaching, Dr. Sobie is committed to advancing understanding in systems biology and improving therapeutic approaches for cardiovascular diseases
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4.7 course rating
217 ratings
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