Introduction to Systems Biology
This course is part of Systems Biology and Biotechnology Specialization
Instructor: Ravi Iyengar, PhD
Skills you'll gain
There are 10 modules in this course
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.
Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
Experimental Technologies | Network Building and Analysis
Midterm
Analysis of Networks | Topology to Function
Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
Emergent Properties: Ultrasensitivity and Robustness | Case Studies
Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
Final
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