Online Course
Introduction to Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera
Found in
Biology
- Provider Coursera
- Cost Free Online Course (Audit)
- Session In progress
- Language English
- Certificate Paid Certificate Available
- Effort 6-8 hours a week
- Duration 10 weeks long
- Learn more about MOOCs
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Overview
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This course will introduce the student to contemporary Systems Biology focused on mammalian cells, their constituents and their functions. Biology is moving from molecular to modular. As our knowledge of our genome and gene expression deepens and we develop lists of molecules (proteins, lipids, ions) involved in cellular processes, we need to understand how these molecules interact with each other to form modules that act as discrete functional systems. These systems underlie core subcellular processes such as signal transduction, transcription, motility and electrical excitability. In turn these processes come together to exhibit cellular behaviors such as secretion, proliferation and action potentials. What are the properties of such subcellular and cellular systems? What are the mechanisms by which emergent behaviors of systems arise? What types of experiments inform systems-level thinking? Why do we need computation and simulations to understand these systems?
The course will develop multiple lines of reasoning to answer the questions listed above. Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Examples will be discussed to demonstrate “how” cell- level functions arise and “why” mechanistic knowledge allows us to predict cellular behaviors leading to disease states and drug responses.
The course will develop multiple lines of reasoning to answer the questions listed above. Two major reasoning threads are: the design, execution and interpretation of multivariable experiments that produce large data sets; quantitative reasoning, models and simulations. Examples will be discussed to demonstrate “how” cell- level functions arise and “why” mechanistic knowledge allows us to predict cellular behaviors leading to disease states and drug responses.
Syllabus
Systems Level Reasoning | Molecules to Pathways
-Module description goes here.
Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
-Module description goes here.
Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
-Module description goes here.
Experimental Technologies | Network Building and Analysis
-Module description goes here.
Midterm
-Module description goes here.
Analysis of Networks | Topology to Function
-Module description goes here.
Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
-Module description goes here.
Emergent Properties: Ultrasensitivity and Robustness | Case Studies
-Module description goes here.
Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
-Module description goes here.
Final
-Module description goes here.
-Module description goes here.
Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
-Module description goes here.
Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
-Module description goes here.
Experimental Technologies | Network Building and Analysis
-Module description goes here.
Midterm
-Module description goes here.
Analysis of Networks | Topology to Function
-Module description goes here.
Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
-Module description goes here.
Emergent Properties: Ultrasensitivity and Robustness | Case Studies
-Module description goes here.
Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
-Module description goes here.
Final
-Module description goes here.
Taught by
Ravi Iyengar
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Anonymous
6 years ago
completed this course.
I realized this was a difficult course when I found that I needed to know the difference between an ordinary differential equation and a partial differential equation. In order to succeed, you will need to read quite a few journal articles.
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Anonymous
4 years ago
completed this course.
Excellent and thorough but quite demanding. It is definitely an advantage to have studied biochemistry and molecular biology beforehand. As for the mathematics, first-year university calculus should be fine.
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