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Modelling and Simulation RZ107

ECTS 6 | P 30 | A 15 | L 15 | K 0 | ISVU 133677 150783 | Academic year: 2019./2020.

Course groups

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Course lecturers


Course description

Model types. Process models. Physical limitations of modelling – participation model. Mathematical models – anticipative and incursive models. Models of electrical engineering components. Connectivity model. Approximation models and set theory. Qualitative and quantitative modelling aspects. Software engineering models. Hydrodynamic models. Unit process models – laser processes. Bond graph modelling method. Scale models and analogies. Verbal models. Models and corresponding differential equations. Discretised solutions. Fluid dynamic models. Boundary problems and discretisation conditions.

Knowledge and skills acquired

Systematic model design approach. Acquiring skills in applying modern modelling tools. Modelling in various technology fields. Design of various model types and acquiring basic simulation skills.

Teaching methods

Mandatory lectures and laboratory exercises.

Student requirements

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Monitoring of students

Defined by the Student evaluation criteria of the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek and paragraph 1.9

Student assessment

Short thesis on designing an example model, laboratory model design exercises, oral examination.

Obligatory literature

1. 1 Bungartz, Hans-Joachim; Zimmer, Stefan; Buchholz, Martin; Pflüger, Dirk Modeling and Simulation: An Application-Oriented Introduction Springer, 2014.

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Recommended additional literature

1. 1 Kramer/Neclau Simulationstechnik Springer Verlag, Wien, 1998.

2. 2 Kuipers, B. Qualitative reasoning, Modelling ans Simulation MIT Press, 1999.

3. 3 Jović F, Flegar I, Slavek N. Modeliranje i simulacija, Skripta ETF Osijek, 2005.

4. 4 Monself Y. Modelling and Siumulation of Coimplex Systems - Methods, Techniques and Tools SCS, European Publ. House, 1998.

Examination methods

Written and oral exam.

Course assessment

Conducting university questionnaires on teachers (student-teacher relationship, transparency of assessment criteria, motivation for teaching, teaching clarity, etc.). Conducting Faculty surveys on courses (upon passing the exam, student self-assessment of the adopted learning outcomes and student workload in relation to the number of ECTS credits allocated to activities and courses as a whole).

Overview of course assesment

Learning outcomes
Upon successful completion of the course, students will be able to:

1. understand the principles and importance of modelling

2. analyse, evaluate and plan the use of mathematical models in the development of technical systems

3. identify and relate the key features in modelling and simulation

4. evaluate and justify software engineering development models

5. design a dynamic system model, prepare it for implementation in MATLAB and simulate it in Simulink

6. apply adopted principles and mechanisms, and use acquired knowledge in modelling and simulation of domain specific real systems

Aktivnosti studenta: Vidi tablicu aktivnosti