Quality Management
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 16.03.2026.
- Module identifier
11M0672
- Module level
Master
- Language of instruction
English
- ECTS credit points and grading
5.0
- Module frequency
only summer term
- Duration
1 semester
- Brief description
Quality Management - in modern business and service organisations - is a system of planing, assurance and improvement of quality over all business processes of the organisation to achieve high customer satisfaction which is the basis for new projects and company growth. For this, by finishing this module successfully, the students know about the available methods and tools to initiate and support a comprehensive Qualitiy Management Approach. It is the central objective of the module to provide information and understanding on this philosophy. The lecture is completely in English.
- 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 hours Type of teaching Media implementation Concretization 35 Lecture Presence or online - 5 Seminar Presence or online - 5 Learning in groups / Coaching of groups Presence or online - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 40 Preparation/follow-up for course work - 20 Presentation preparation - 20 Creation of examinations - 10 Study of literature - 15 Work in small groups -
- Graded examination
- Homework / Assignment or
- Oral presentation, with written elaboration
- Exam duration and scope
Homework assignment: 10-20 pages, if necessary associated explanation: approx. 20 minutes
Presentation: approx. 20 minutes per group, accociated elaboration: 3 pages
- Recommended prior knowledge
none
- Knowledge Broadening
The students know about many different quality methods, quality systems and auditing. They understand Quality Management as a central process involving all levels and departments of a producing company or a business organisation.
- Knowledge deepening
The students have the competence to work with the elements of quality management in the industry. They know detailled about methods according to the Quality Management practiced in the industry. So they can analyse the quality performance of a department or a company and optimize it.
- Knowledge Understanding
They use and interprete numerical and graphical methods of data analysis, presentation and interpretation. In addition they learn about the most important methods of quality management. They have the competence to analyse production data in samples and can calculate and predict the quality level, cp, cpk of the population (annual production). They know Q-Methods like FMEA, DOE, POKA-YOKE to optimise the quality, e.g. in production or assembly department.
- Literature
Schr?der, C.: Script of the module "QM"
Montgomery, D.C.: Statistical quality control : a modern introduction, 2013
Mathai, A.M.; Haubold, H.J.: Probability and statistics, 2018
Kiran, D.R.: Total quality management, Key concepts and case studies, 2017
- Applicability in study programs
- Computer Science
- Computer Science M.Sc. (01.09.2025)
- Mechatronic Systems Engineering
- Mechatronic Systems Engineering M.Sc. (01.09.2025)
- Electrical Engineering (Master)
- Electrical Engineering M.Sc. (01.09.2025)
- Person responsible for the module
- Schr?der, Cathrin
- Teachers
- Schr?der, Cathrin