Systems Biology  136037





Lecture 
Exercise 
Laboratory 
Project or Seminar 
House Work 
Weekly Hours 
2 
1 


3 

Determination of the grade according to progress during the semester and a final examination.
Prerequisites
    Differential and Integral Calculus 1 
104003
 
Through This Course We Will Learn How to Describe Biological Systems as Information Processing Systems, and How to Analyze Them Mathematically to Understand Their Function. We Will Learn a Framework for Analysis of Biological Network Dynamics, Study Network Motifs and Their Functions, and Analyze Sensory Systems and Covalent Modification Systems. Various Biological Processes Will Be Discussed, Including Transcription Regulation, Signal Transduction Pathways, Developmental Patterning, Neural Information Processing, and Sensory Adaptation, Using Examples in Phages, Bacteria, Yeast, Nematodes, Fruit Flies, and Mammalian Cells.
The Course Is Open for Students with Background in Biology, Physics, Chemistry, Computer Science, Or Engineering. Basic Calculus Knowledge Is Required. Matlab Programming Will Be Used But Previous Experience Is Not Required. Students Will Be Evaluated Based on Homework Exercises (30) and Final Exam (70).
Learning Outcomes
By the End of Course,, Students Will:
1. Have Basic Knowledge of Matlab Programming, Including How to Numerically Solve Ode.
2. Be Familiar with Various Network Motifs, Such as Positive/Negative Autoregulation, Coherent/Incoherent Feedforward Loops, Positive/Negative Feedback Loops.
3. Be Able to Analyze Network Motifs, Bth Analytically and Numerically.
4. Understand Functions of Different Network Motifs, Such as Generating Sign Dependent Delays, Speeding Up Or Slowing Down Responses, Generating Spikes, Buffering Input Fluctuations, Inducing Bistability and More.
5. Be Familiar with Models of Signaling Pathways and Models of Neuronal Information Processing.
6. Know How to Challenge Models' Assumptions and How to Compare Models' Performances.
7. Understand the Implication of the Learned Models on Biological Systems and Prcesses, Such as Transcription Regulation in E. Coli and Mammalian Cells, Developmental Patterning in Drosophila, Buffering Input Noise in Yeast, Toggle Switches in Lambda Phage, Information Processing in C. Elegans Sensory Neurons and Robust
TextbooksCompulsory Book  Published  Publisher  Authors  Book 

Compulsory  2019  crc press, taylor and francis group  uri alon  an introduction to systems bbiology: design principles of biologicak circuits (second edition) 
 2005  the mit press  peter dayan and l. f. abbott  theoretical neuroscience: computational and mathematical modeling of neural systems 
Created in 15/08/2022 Time 06:16:53