| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Control of Biosystems |
| Course code | InfT1029 |
| Credit points (ECTS) | 2.25 |
| Total Hours in Course | 60.75 |
| Number of hours for lectures | 16 |
| Number of hours for seminars and practical classes | 8 |
| Date of course confirmation | 19/10/2011 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Dr. sc. ing., Egils Stalidzāns |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| Control of biosystems has become one of the branches of computer control and computer science applications with very high potential of development related to biotechnology, medicine, environment and energetics. Subject contains information about fundamentals of biology in form suitable for information technology specialists. Connections of computer science and computer control technologies with the newest scientific achievements in bioinformatics (statistics and data analysis) and systems biology (modelling and dynamic analysis). Basics of cybernetics and systems theory are covered indicating | |
| Learning outcomes and their assessment | |
| • Knowledge about main common features of biological and technical processes and operation of biological system in cellular level;
• skills to analyse genetic information, compare gene sequences of different organisms, follow the potential changes in the biological control system due to genetic changes, interpret the simulation results of dynamic model; • competence to use free access tools of biological information analysis in modelling of biological control modelling and forecast, ability to analyse and plan the modelling and optimisation of bioprocesses. |
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| Compulsory reading | |
| 1. Ratledge C., Kristiansen B. Basic Biotechnology, 3rd edition. Cambridge: Cambridge University Press, 2007. 666 p.
2. Renshaw, E. Modelling biological populations in space and time. Cambridge: Cambridge University Press, 1995. 3. Klipp E., Herwig R., Kowald A., Wierling C., Lehrach H. Systems Biology in Practice. Concepts, Inplementation and Application. WILEY-VCH Verlag GmbH&Co KgaA, 2006. 4. Jones D.S. Sleeman B.D. Differential Equations and Mathematical Biology. Chapman &Hall/CRC, 2003. |
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| Further reading | |
| 1. Szallasi Z., Stelling J., Periwal V. System Modelling in Cell Biology from concepts to nuts and bolts, MIT Press, 2006. 2. Davidson E.H. The regulatory Genome. Gene regulatory networks in development and evolution. Academic Press, Elsevier, 2006. | |