Quality Management for Mechanical Engineering

Faculty

Faculty of Engineering and Computer Science

Version

Version 1 of 15.02.2026.

Module identifier

11B1760

Module level

Bachelor

Language of instruction

German

ECTS credit points and grading

5.0

Module frequency

only winter term

Duration

1 semester

 

 

Brief description

Quality management (QM) plays a central role in companies today; a lack of a quality management system is an existential competitive disadvantage, e.g. because it results in exclusion from markets.

After completing the module, students will be familiar with the basic features of a modern quality management system and will be able to identify corresponding areas of application across all areas of the company and the entire product life cycle as well as apply various quality management methods including statistical tools.

Teaching and learning outcomes

1. Importance of quality and quality management for companies

2. Elements of a quality management system

3. Structure, principles and contents of QM systems according to DIN EN ISO 9000ff etc.

4. Quality management in the product life cycle from planning to production and use

5. Introduction to production measurement technology

6. Use of statistical methods (basics, evaluation of measurement series, statistical process control (SPC), capability studies (MFU, PFU, MSA))

7. Other QM tools (e.g. Q7, M7, 8D)

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
60LecturePresence-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
40Preparation/follow-up for course work-
20Study of literature-
30Exam preparation-
Graded examination
  • Written examination
Exam duration and scope

  • Written Exam: see the respective valid study regulations

Recommended prior knowledge

Fundamentals of engineering, basic mathematical knowledge, fundamentals of statistics

Knowledge Broadening

Students know the basic topics of quality management as well as the terminology, possible applications and limitations of quality management systems in companies. They can identify and describe the methods and tools associated with a problem.

Knowledge deepening

Students relate the tasks of quality management to their familiar activities in the development and production of mechanical engineering products and integrate the application of quality management methods and tools into these activities.

Knowledge Understanding

Students can interpret the results of the application of quality management and statistical methods and tools and derive measures for quality improvements.

Application and Transfer

Students apply the knowledge gained in the module to practice-oriented tasks such as implementing a quality management system, evaluating measurement data or determining the causes of quality problems.

Communication and Cooperation

Students cooperate with each other when working on practice-oriented tasks. They present and discuss their results and those of others. 

Academic Self-Conception / Professionalism

Students recognize the importance of quality management for their professional activities and question their work with regard to the resulting requirements.

Literature

  • Jakoby, Walter (2022): Qualit?tsmanagement für Ingenieure : eine Einführung in die qualit?tsorientierte Gestaltung von Produkten, Prozessen und Organisationen. 2. Auflage. Wiesbaden: Springer Vieweg.
  • DIN (Hrsg.) (2021): DIN-Taschenbuch 226 - Qualit?tsmanagement - QM-Systeme, Verfahren und Begriffe. Berlin: Beuth Verlag. (oder enthaltene Normen einzeln aus Normendatenbank)
  • Marxer, Michael & Bach, Carlo & Keferstein, Claus P. (2021): Fertigungsmesstechnik : alles zu Messunsicherheit, konventioneller Messtechnik und Multisensorik. 10. Auflage. Wiesbaden: Springer Vieweg.
  • W?lder, Konrad & W?lder, Olga (2013): Statistische Methoden der Qualit?tssicherung : praktische Anwendung mit MINITAB und JMP. München; Wien: Hanser Verlag.

Applicability in study programs

  • Mechanical Engineering (Bachelor)
    • Mechanical Engineering B.Sc. (01.09.2025)

  • Mechanical Engineering in Practical Networks
    • Mechanical Engineering in Practical Networks B.Sc. (01.03.2026)

  • Mechatronics
    • Mechatronics B.Sc. (01.09.2025)

  • Automotive Engineering (Bachelor)
    • Automotive Engineering B.Sc. (01.09.2025)

    Person responsible for the module
    • Pusch, Rainer
    Teachers
    • Pusch, Rainer