Introduction to Systems Biology (Coursera)

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.
This course is part of the Systems Biology and Biotechnology Specialisation.

Syllabus

WEEK 1: Systems Level Reasoning | Molecules to Pathways
WEEK 2: Pathways to Networks | Physical Forces and Electrical Activity in Cell Biology
WEEK 3: Mathematical Representations of Cell Biological Systems | Simulations of Cell Biological Systems
WEEK 4: Experimental Technologies | Network Building and Analysis
WEEK 5: Midterm
WEEK 6: Analysis of Networks | Topology to Function
WEEK 7: Strengths and Limitations of Different Types of Models | Identifying Emergent Properties
WEEK 8: Emergent Properties: Ultrasensitivity and Robustness | Case Studies
WEEK 9: Case Studies | Systems Biomedicine | Systems Pharmacology and Therapeutics | Perspective
WEEK 10: Final