Course code InfT5053
Credit points 3
Systems Theory and Control
Total Hours in Course81
Number of hours for lectures12
Number of hours for seminars and practical classes12
Independent study hours57
Date of course confirmation12.04.2021
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
prof.
Pēteris Rivža
Dr. habil. sc. ing.
Course abstract
The aim of the study course is to acquire basic knowledge of the basic concepts and laws of systems theory, as well as skills in systems analysis and modeling that could be used in the development of a master's thesis.
Learning outcomes and their assessment
As a result of completing the study course, master's students:
•knows about the basic concepts of systems theory, system diagrams, system classification, system structure analysis, system theory and management principles, system modeling and design.
• is able to use systems theory methods in system structure analysis and system modeling.
• is able to use the learned methods of systems theory in the development of a master's thesis.
The assessment is made on the basis of the developed practical work and exam evaluation.
Course Content(Calendar)
Lectures:
1 Basic concepts of systems theory. (2h)
2 System structure analysis. (2h)
4 Systems management. (2h)
5 System approach in system design. (2h)
6 System modeling. (2h)
7 System modeling environments. (2h)
Practical works:
1. System structure analysis.(4h)
2. Compilation and testing of the system model. (4h)
3. Decision making models. (4h)
Requirements for awarding credit points
Developed and submitted practical works, developed and defended independent work, exam.
Description of the organization and tasks of students’ independent work
The master student chooses the topic of independent work related to his / her master's thesis. Models are researched and after formulating the task, a model is created. Finally, a report and a presentation are prepared. The master student gave a report and demonstrates the created model.
Criteria for Evaluating Learning Outcomes
The final mark of the study course was formed from the results of the independent work evaluation (40%) and the exam (60%).
Compulsory reading
1. Luhmann L. Introduction to Systems Theory, Polity. 1st edition. Cambridge: Polity, 2013, 284 p.
2. Bertalanffy L. von General system theory: foundations, development, applications. New York: George Braziller, 2015. p.
3. Christiaan Heij, André C.M. Ran, Frederik van Schagen Introduction to Mathematical Systems Theory: Discrete Time Linear Systems, Control and Identification. Birkhäuser; 2nd ed. 2021. 204 pp.
Further reading
1. Whitten J. Systems Analysis and Design Methods. Boston: McGraw-Hill/Irwin, 2005. 780 p
2. Skyttner L. General Systems Theory: Problems, Perspectives, Practice. 2nd edition. Hackensack, NJ: World Scientific, 2006. 524 p.
3. Seddon J. Systems Thinking in the Public Sector: the failure of the reform regime... and a manifesto for a better way. Axminster:Triarchy Press, 2008.
4. Karris S. T. Introduction to Simulink: With Engineering Applications. Fremont, CA: Orchard Publications, 2011. 676 pp.
5. Dabney J., Harman T. L. Mastering Simulink. Upper Saddle River, N.J.: Pearson/Prentice Hall, 2004. 376 p.
Periodicals and other sources
Ludwig von Bertalanffy and his General System Theory https://www.youtube.com/watch?v=Klot7SrelpI
Notes
Course for Master’s study programme “Information Technologies”.