SylabUZ
| Course name | Modelling and Simulation of Processes |
| Course ID | 06.1-WM-ER-MiBM-01_18 |
| Faculty | Faculty of Mechanical Engineering |
| Field of study | WM - oferta ERASMUS |
| Education profile | - |
| Level of studies | Erasmus programme |
| Beginning semester | winter term 2023/2024 |
| Semester | 2 |
| ECTS credits to win | 3 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
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| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Laboratory | 30 | 2 | - | - | Credit with grade |
| Lecture | 15 | 1 | - | - | Exam |
The aim of the course is to familiarize students with the methods of mathematical and physical modeling as well as with methods and techniques of processes simulation. To familiarize students with the options of the use of the methods in modeling and simulation of processes like: production, transport, manipulation and machines automation occurring in these processes.
Mathematics, Physics, Mechanics and Strength of Materials, Fundamentals of Machine Design, Automated Transport and Storage , The ability to use basic computer tools,
The content of the lecture:
Basic concepts connected with modelling and simulation of processes: model, system, simulation, process. Model construction. Types of models and algorithms of modelling processes. Issues connected with mathematical and physical modelling and simulation of processes: data types and their collection, define parameters and variables, define a problem. Methods of formalization of description of process and object. Apparatus of dimensional analysis - theorem π. Modelling with the use of dimensional functions. Network models. Scheduling. Computer tools in modelling and simulation of processes. The use of practical examples of modeling and simulation methods.
The content of the laboratory:
Create virtual models, dimensional analysis and simulation of appliances used in automation of production and transport processes. The use of network models in analysis of automated production systems. The use of operation planning schedules including automation and manufacturing processes.
Lecturers are given with the use of multimedia technics. Work with specialist literature – textbooks, professional journals.
Laboratories are given with the use of computer software – methods: problem tasks, solution analysis. Individual and group job during the realization of laboratory exercises.
| Outcome description | Outcome symbols | Methods of verification | The class form |
To get a credit the student has to pass all course forms.
The final grade received by the student is the arithmetic mean of the above grades.
1. Severance F. W., System modeling and simulation - an introduce, Wiley, West Sussex 2001,
2. Totten G. E. , Xie L., Funatani K.,Modeling and simulation for material selection and mechanical design, Marcel Dekker INC, New York Basel 2004,
3. Miranda F., Abreu C., Handbook of research on computational simulation and modeling in engineering, IGI Global, USA 2015,
4. Banerjee S., Mathematical modeling: models, analysis and applications, CRC Press, USA 2014,
5. Zeigler B. P., Muzy A., Kofman E., Theory of Modeling and Simulation, Academic Press, Cambridge, Massachusetts 2018,
1. Bungartz H. J.(Author), Zimmer S., Buchholz M., Pfluger D., Le Borne S., Modeling and simulation: an application-oriented introduction, Springer, Cookeville 2010,
Lecture and Laboratory in English
Modified by dr Katarzyna Skrzypek (last modification: 31-05-2023 14:15)
