Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Simulation of technical systems
2. Subject name in Hungarian Műszaki rendszerek szimulációja
3. Code BMEKOALM645 4. Evaluation type exam grade 5. Credits 4
6. Weekly contact hours 2 (11) Lecture 1 (5) Practice 1 (5) Lab
7. Curriculum
Vehicle Engineering MSc (J)
8. Role
Specialization (sp) at Vehicle Engineering MSc (J)
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 56 Preparation for seminars 15 Homework 25
Reading written materials 3 Midterm preparation 6 Exam preparation 15
10. Department Department of Material Handling and Logistics Systems
11. Responsible lecturer Dr. Bohács Gábor
12. Lecturers Gáspár Dániel, Szabó Péter, Dr. Rinkács Angéla
13. Prerequisites  
14. Description of lectures
The basics of process modeling and simulation. Get to know the software background in the following areas: test material flow of production processes, bottlenecks in production lines; designing better factories with production element templates, avoiding installation problems with better visualization; supporting lean endeavors, local and global optimization of manufacturing and logistics processes; analyzing value flows for processes, production, logistics and suppliers; robotization design, minimizing downtime with off-line programming; designing safe and productive jobs from an ergonomic point of view.
15. Description of practices
During the exercises, the students practice each function through software.
16. Description of labortory practices
During lab work, students perform tasks in a software environment.
17. Learning outcomes
A. Knowledge
  • Knows the problem areas of technical simulations.
  • Knows the specific technical software solutions.
B. Skills
  • Being able to work with the software.
C. Attitudes
  • Working efficiently alone and in group.
  • Seeking for relations to other subjects.
D. Autonomy and Responsibility
  • Finding solutions alone.
  • Taking into considereations the effects of the decisions.
  • Applying systematic approach.
18. Requirements, way to determine a grade (obtain a signature)
The end semester signature depends on the submission of the satisfactory home assignments, satisfactory midterm test and the acceptance of the lab records. The final grade is calculated as: 20% - midterm test, 15-15% of the homeworks and 50% of the written exam, which can be corrected orally by the students if necessary.
19. Opportunity for repeat/retake and delayed completion
The homeworks' final submission and the midterm test both can be resubmitted once.
20. Learning materials
Students can download the subject notes in pdf format via Moodle.
Effective date 10 October 2019 This Subject Datasheet is valid for Inactive courses