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Department of Mechanical Engineering
Summer term lecture

Quality Management

This program is designed to equip students with the foundational knowledge and skills necessary to understand and implement effective quality management practices across a variety of contexts. the course aims to provide an in-depth understanding of statistics, quality control, component design, and various quality management systems. With a strong focus on real-world applications, students will gain critical skills and knowledge to address quality management challenges in various business and industrial contexts.


This course provides students with the basics of quality management in the broadest sense and serves as a foundation for more advanced courses on specific quality management topics. The course topics covered in detail are:

  • Introduction to statistics and probability theory to provide the necessary tools for dealing with the rest of the course material.
  • Description and design of measurement systems
  • A selection of the viewpoints of the quality gurus from a historical perspective
  • Acceptance sampling in quality control and a comparison of the different perspectives
  • Statistical process control and control charts
  • Incorporating quality aspects into the design of components
  • Quality management systems: ISO9001, Six Sigma, Total Quality Management, etc.

The course concludes with a seminar given by a person from industry, depending on availability. In parallel with the lectures, students work individually or in small groups on a practical case study, applying the concepts learned to a practical quality management problem.


Upon successful completion of the course, students should have a thorough understanding of the various quality management concepts as described in the course content and be able to perform basic quality management analysis and decision making incorporating the concepts taught.


Written examination of max. 2 hours, consisting of theoretical questions and exercise tasks (75%).

Project report of the group work describing the description and results of the case study (25%)

Participation Requirements




Practice sessions





Thursday  14:30-16:00 hr Thursday  16:00-18:00 hr


MB I - U25/ U26 MD I- U25-26


Prof. Dr. Matthias Faes

Prof. Dr. Matthias Faes


Link to Moodle





ECTS Credits:



Work Load: 150 h :   45 h (in presence) & 105 h (self study) -