Study Guide@lith
 

Linköping Institute of Technology

 
 
Valid for year : 2015
 
TBMT37 Models in System Biology, 2 ECTS credits.
/Systembiologisk modellering/

For:   KeBi  

 

Prel. scheduled hours: 18
Rec. self-study hours: 35

  Area of Education: Engineering

Main field of studies: Biotechnology

  Advancement level (G1, G2, A): G2

Aim:
This course will provide experience in mathematical modeling of biological systems. After completing this course, the participant shall be able to:
  • explain why mathematical modeling is a tool in biological experimentation; explain some of the common mistakes
  • construct a mathematical model of a class of biological systems
  • analyzing, structuring and simulating mathematical models based on differential equations
  • use methods for structured modeling in systems biology
  • adapt mathematical models to measured data
  • validate mathematical models to measured data; basic statistical tests
  • use modern computerized tools for mathematical modeling in systems biology
  • apply and integrate this with knowledge from previous courses

Prerequisites: (valid for students admitted to programmes within which the course is offered)
Basics courses in Chemistry, Biology and Mathematics

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Organisation:
The course consists of lectures and a large laboratory assignment and voluntary pre-assignments. The course is examined by two minor tests together with oral discussions of the laboratory work.
The course runs for the first three weeks during the spring semester.


Course contents:
Lectures, laboratory work covers:
  • Systems biology: what it is, methods, issues and opportunities.
  • Mathematical modeling. Types of models and their properties.
  • Software for mathematical modeling and simulation in systems biology.
  • System Identification: adaptation of mathematical models to experimental data.
  • Validation and use of mathematical models. Troubleshooting and uncertainty analysis

Course literature:
Gunnar’s Crash Course in Systems Biology. Online-lectures.

Examination:
Tests
2 ECTS
 
Grades are given as ’Fail’ or *Pass’.



Course language is English.
Department offering the course: IMT.
Director of Studies: Göran Salerud
Examiner: Gunnar Cedersund


Linköping Institute of Technology

 


Contact: TFK , val@tfk.liu.se
Last updated: 11/05/2014