Course: Computer Simulation of Economics Systems 2

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Course title Computer Simulation of Economics Systems 2
Course code MUPI/2PSE2
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Pivnička Michal, Ing. Ph.D.
Course content
- the basics of the SimTalk 2.0 programming language - modification of attributes - creation of methods (programs) - Working with tables, queues, and variable modifications - initiation of the model (initial conditions setting), working with input data - technological procedures (routines) - warehouse management - logistics (cars, milkrun, AGV) - Sequence of workers

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Training in motion and work skills, Simple experiments, Activating (Simulation, games, dramatization), Exercises on PC, Individual work of students
  • Home preparation for classes - 25 hours per semester
  • Preparation for course credit - 20 hours per semester
  • Participation in classes - 45 hours per semester
prerequisite
Knowledge
Basic knowledge and skills in the areas of management and organization of production, production systems, process management, foundation of enterprise information systems and knowledge acquired in the course "Computer simulation of economic processes 1".
Basic knowledge and skills in the areas of management and organization of production, production systems, process management, foundation of enterprise information systems and knowledge acquired in the course "Computer simulation of economic processes 1".
learning outcomes
The student understands the basic principles of programming languages.
The student understands the basic principles of programming languages.
The student understands how to use a programming language to solve simple practical tasks.
The student understands how to use a programming language to solve simple practical tasks.
The student understands the reasons why programming language is important in modelling and simulation of production and logistics processes.
The student understands the reasons why programming language is important in modelling and simulation of production and logistics processes.
The student understands how to work with input and output data using a programming language.
The student understands how to work with input and output data using a programming language.
The student knows examples of practical application of simulation tools in business practice.
The student knows examples of practical application of simulation tools in business practice.
Skills
The student uses a programming language to modify the behaviour of the simulation model.
The student uses a programming language to modify the behaviour of the simulation model.
The student processes the model input data using a programming language.
The student processes the model input data using a programming language.
The student prepares output data and statistics using a programming language.
The student prepares output data and statistics using a programming language.
The student modifies the behaviour of the model so that individual items are processed according to production data such as routines.
The student models more advanced logistics systems using a programming language.
The student models more advanced logistics systems using a programming language.
The student modifies the behaviour of the model so that individual items are processed according to production data such as routines.
teaching methods
Knowledge
Training in motion and work skills
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
Simple experiments
Simple experiments
Exercises on PC
Individual work of students
Training in motion and work skills
Activating (Simulation, games, dramatization)
Activating (Simulation, games, dramatization)
Exercises on PC
Individual work of students
assessment methods
Analysis of the student's performance
Grade (Using a grade system)
Grade (Using a grade system)
Analysis of works made by the student (Technical products)
Analysis of works made by the student (Technical products)
Analysis of the student's performance
Analysis of creative works (Music, visual arts, literature)
Analysis of creative works (Music, visual arts, literature)
Recommended literature
  • Bangsow, Steffen. Manufacturing simulation with Plant Simulation and SimTalk : usage and programming with examples and solutions. Berlin : Springer, 2010. ISBN 978-3-642-05073-2.
  • GREGOR, M., KOŠTURIAK, J., HALUŠKOVÁ. Priemyslové inženiersvo - simulacia výrobných systemov. Žilina: Žilinská univerzita, 1997. ISBN 80-966996-8-7.
  • MILDEOVÁ. Systémová dynamika. VŠE Praha, 2003.
  • Sterman, John D. Business dynamics : systems thinking and modeling for a complex world. Boston : Irwin/McGraw-Hill, 2000. ISBN 72311355.


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