Subject: Subject Sylbus: Systems Biology - 136037

Systems Biology - 136037
Credit
Points
2.5
 
Given In
Semester
b
 
  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




System of hours to the semesters
Semester Previous Semester information 02/2021 2021/2022 Spring Semester


Textbooks
Compulsory
Book
PublishedPublisherAuthorsBook
Compulsory2019crc press, taylor and francis groupuri alonan introduction to systems bbiology: design principles of biologicak circuits (second edition)
 2005the mit presspeter dayan and l. f. abbotttheoretical neuroscience: computational and mathematical modeling of neural systems

Created in 15/08/2022 Time 06:16:53