Course code InfT6029
Credit points 3
Cellular Control Analysis
Total Hours in Course81
Number of hours for lectures16
Number of hours for laboratory classes16
Independent study hours49
Date of course confirmation12.01.2016
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
Egils Stalidzāns
Dr. sc. ing.
Course abstract
Biological cell modelling related scientific branches bioinformatics, systems biology and synthetic biology are tended towards understanding of evolutionary developed biological processes and applications of the gained knowledge to change the control processes with different goals of 1) business (cell-factories, biotechnology, bioenergentics) or 2) normalising the operation of cells and organisms (healthcare, personalised medicine, ecology). Methods of goal-oriented methods of changing or normalising of cellular control are addressed.
Learning outcomes and their assessment
• Knowledge about the methods of control systems analysis in static and dynamic models and possibilities of implementation of necessary changes in their operation;
• skills to choose appropriate scope and type of model and analysis methods, perform analysis of dynamic control processes;
• competence to apply modelling methods of control systems solving tasks if different branches of bioindustry and medicine, work in interdisciplinary teams, assess and justify opportunities of modelling approach reducing experimental work with cells.
Compulsory reading
1. Palsson B.O. Systems Biology: Properties of Reconstructed networks, Cambridge University Press, 2006.
2. Renshaw E. Modelling biological populations in space and time. Cambridge University Press, 1995.
Further reading
1. Szallasi Z., Stelling J., Periwal V. System Modelling in Cell Biology from concepts to nuts and bolts, MIT Press, 2006.
2. Systems Biology. Definitions and Perspectives. Editors L. Alberghina, H.V. Westerhoff, Springer, 2005.