Introduction to Systems Biology

This course is part of Systems Biology and Biotechnology Specialization

Instructor: Ravi Iyengar, PhD

Skills you'll gain

  •   Systems Analysis
  •   Systems Engineering
  •   Network Analysis
  •   Molecular Biology
  •   Simulation and Simulation Software
  •   Mathematical Modeling
  •   Statistical Modeling
  •   Differential Equations
  •   Biochemistry
  •   Biology
  •   Bioinformatics
  •   Pharmacology
  • 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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