Course: System Thinking and Simulations

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Course title System Thinking and Simulations
Course code USII/ESTS
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 10
Language of instruction English
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Htoo Sann Thawdar, Ing.
  • Kopáčková Hana, doc. Ing. Ph.D.
Course content
Course content: Introduction to Systems Thinking Systems Archetypes and Patterns Feedback loops and dynamics Modeling tools and simulation techniques System dynamics modelling Process modelling Agent-based modelling Scenario Planning and Policy Design Business and Organizational Applications

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Skills training
  • Preparation of a presentation (report) - 18 hours per semester
  • Contact teaching - 52 hours per semester
  • Preparation for a credit (assessment) - 10 hours per semester
  • Individual project - 30 hours per semester
  • Preparation for an exam - 20 hours per semester
  • Home preparation for classes - 20 hours per semester
Learning outcomes
The aim of the course is to equip students with the principles of systems thinking and the practical skills to model, analyze, and simulate complex systems.
A student who has successfully completed the course can: define basic concepts and know their use; characterize processes; choose a suitable model for solving the problem select a suitable simulation program A student who has successfully completed the course know: define the entities and attributes needed for a particular model; define and model process input and output attributes; apply linear and nonlinear computational methods to these attributes to design evolutionary and agent models to simulate dynamic processes control the basic functions of the selected modeling tool use the selected model to address a set goal control the basic functions of the selected simulation program. The student who has successfully completed the course is able to: summarize clearly the views of other team members; to communicate in a clear and convincing way to professionals and lay people information on the nature of professional issues and their own opinion on their solution. Able to interpret simulation experiment results correctly
Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Written examination

Attendance at seminars is mandatory (70%), the student is continuously evaluated and at the end of the semester submits a seminar project (40% of the total grade). The oral exam serves to verify the student's knowledge and represents 60% of the total grade.
Recommended literature
  • ARNOLD, Ross D.; WADE, Jon P. A definition of systems thinking: A systems approach. 2015.
  • BARBROOK-JOHNSON, Pete; PENN, Alexandra S. Systems Mapping: How to build and use causal models of systems. 2022.
  • Borschev, A.. The big book of simulation modeling with AnyLogic. Sunny, 2015.
  • Sayama, H. Introduction to the modeling and analylisys of complex systems. SUNNY, 2016.
  • WOODHILL, Jim; MILLICAN, Juliet. Systems Thinking and Practice: A Guide to Concepts, Principles and Tools for FCDO and Partners. 2023.
  • ZEIGLER, B.,P., PRAEHOFER, H., KIM,t. Theory of modeling and simulation. Academic Press London., 2000.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester