Programme: MSc in Engineering Management
Subject Role: Compulsory elective
Recommended semester: 2
Programme: MSc in Management and Leadership
Subject Role: Compulsory elective
Recommended semester: 2
Objectives
The course's primary objective is to get students acquainted with the most important methods and analysis techniques used for the effective operation of quality systems and quality control of production/service processes. The secondary objective of the course is for the students to acquire sufficient proficiency in practical application in addition to the theoretical foundations.
Academic results
Knowledge
- Students know the generally used concepts of quality management and reliability.
- Students have an overview of quality tools that can be used during process control and development.
- Students have confident methodological knowledge of the application of the tools. They understand and see the combination possibilities of the methodologies.
Skills
- Students are able to apply the learned theoretical and methodological knowledge in practice.
- Students are able to doubt, think about alternatives, and integrate knowledge.
- Students will be able to professionally participate in solving quality management problems, preparing and/or making such decisions.
Attitude
- Students will strive for cooperation in multidisciplinary teamwork.
- Students will select and use the quality management techniques that offer the greatest chance to understand and improve the process.
- Students use a systematic approach in their thinking.
Independence and responsibility
- Students are suitable for independent work (methodology, technique selection; work organization, planning, management; data collection, systematization, analysis, evaluation; general and professional development).
Teaching methodology
Lectures, optional practical tasks for independent or groupwork.
Materials supporting learning
- Oktatási segédanyagok / Educational materials (https://edu.gtk.bme.hu)
- Erdei J. Minőségmenedzsment módszerek, oktatási segédanyag, BME GTK, 2018
- Kemény S.: Statisztikai minőség- (megfelelőség-) szabályozás, Műszaki Könyvkiadó - Magyar Minőség Társaság, Budapest, 1999
General Rules
Evaluation of the learning outcomes stated in point 2.2: The subject ends with a midterm mark.
Performance assessment methods
A. Detailed description of assessments during the term: Solving assigned tasks in practical lessons, with which max. 100 points can be obtained. From the max. 100 points only max. 70 points can be added to the final grade. The lecturers can evaluate active participation in lectures during the semester with extra points, which is added to the final grade. Maximum 20 plus points for one student can be taken into account. The requirement of the subject is to reach at least min. 50% at the midterm, and also to collect min. 50 points with the midterm, the active participation and the practical tasks together.
Percentage of performance assessments, conducted during the study period, within the rating
- solving tasks in classes: 70
- active participation: 20
- midterm: 30
- total: 100
Percentage of exam elements within the rating
Issuing grades
% | |
---|---|
Excellent | 95-100 |
Very good | 88-94 |
Good | 76-87 |
Satisfactory | 64-75 |
Pass | 50-63 |
Fail | 0-49 |
Retake and late completion
Active participation and practical tasks - due to their nature - cannot be replaced or corrected in any other way. The midterm at the end of the semester can be retaken and corrected in accordance with the regulations of the Code of Studies
Coursework required for the completion of the subject
Nature of work | Number of sessions per term |
---|---|
participation in contact lessons | 28 |
preparation for the lectures | 14 |
fulfillinf practical tasks | 14 |
preparation for the midterm | 34 |
total | 90 |
Approval and validity of subject requirements
Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 06.11.2023.
Topics covered during the term
The subject consists of the following thematic blocks to achieve the learning outcomes set out in point 2.2. Each semester the syllabus schedules these topics according to the calendar and other conditions.
Lecture topics | |
---|---|
1. | Quality management methods: basic concepts, processes |
2. | Statistical process control methods |
3. | Failure analysis methods |
4. | Idea-gathering and problem-solving methods |
5. | Methods for describing and modeling processes |
6. | Other quality management methods |
Additional lecturers
Name | Position | Contact details |
---|---|---|
Dr. Benedek Petra | egyetemi adjunktus | benedek.petra@gtk.bme.hu |
Erdei János | mesteroktató | erdei.janos@gtk.bme.hu |