Subject Datasheet
Download PDFBudapest University of Technology and Economics | |
Faculty of Transportation Engineering and Vehicle Engineering |
1. Subject name | Automotive R&D processes and quality systems | ||||
2. Subject name in Hungarian | Autóipari K+F folyamatok és minőségügyi rendszerek | ||||
3. Code | BMEKOGGM711 | 4. Evaluation type | mid-term grade | 5. Credits | 4 |
6. Weekly contact hours | 3 (42) Lecture | 0 (0) Practice | 0 (0) Lab | ||
7. Curriculum | Autonomous Vehicle Control Engineering MSc (A) |
8. Role | Elective (ec) at Autonomous Vehicle Control Engineering MSc (A) |
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9. Working hours for fulfilling the requirements of the subject | 120 | ||||
Contact hours | 42 | Preparation for seminars | 20 | Homework | 0 |
Reading written materials | 38 | Midterm preparation | 20 | Exam preparation | 0 |
10. Department | Department of Automotive Technologies | ||||
11. Responsible lecturer | Dr. Szalay Zsolt | ||||
12. Lecturers | Wahl István | ||||
13. Prerequisites | |||||
14. Description of lectures | |||||
The aim of the course is to familiarize students with the processes used in the automotive industry, research and development, and the relevant regulations. Students will gain insight into the standards and process models required by the automotive industry for development processes. Within the framework of the course, students can get acquainted with the individual elements of the flow, their structure and their relationships. In addition, students can learn about quality methods that support development. Presentation of the life cycle of vehicle development. Quality assurance during vehicle development, control points and models Product and process testing Automotive Qualification Management Standards, Audits (IATF16949) Software Development Processes, Graduation Models (Automotive SPICE) Manage your requirements Application of FMEA in product design Projektmenedzsent Change management Software development processes Testing processes Supplier quality control Configuration management |
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15. Description of practices | |||||
16. Description of labortory practices | |||||
17. Learning outcomes | |||||
A. Knowledge
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18. Requirements, way to determine a grade (obtain a signature) | |||||
One midterm exam, which determines the final grade. | |||||
19. Opportunity for repeat/retake and delayed completion | |||||
The midterm exam can be retried once | |||||
20. Learning materials | |||||
Lecture Notes | |||||
Effective date | 10 October 2019 | This Subject Datasheet is valid for | 2024/2025 semester I |