Laadunhallinnan tilastolliset menetelmät (5 cr)
Code: LX00DN86-3003
General information
Timing
31.01.2020 - 31.12.2020
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Liiketalous
Campus
Leiritie 1
Teaching languages
- Finnish
Seats
0 - 35
Degree programmes
- Master's Degree Programme in Business Informatics (Tekniikan ja liikenteen ala)
- Hankintatoimen tutkinto-ohjelma (YAMK, Yhteiskuntatieteiden, liiketalouden ja hallinnon ala)
- Liiketoiminnan kehittämisen tutkinto-ohjelma (YAMK)
- Master's Degree Programme in Business Informatics (Yhteiskuntatieteiden, liiketalouden ja hallinnon ala)
Teachers
- Tiina Mikkola
Teacher in charge
Hanna Harilainen
Groups
-
LITO_VVVapaastivalittavat, liiketalous
Objective
The student is able to analyze and evaluate quantitative quality management data with statistical methods. The student is also able to present the results of his/her analysis in an illustrative way. The student knows what kind of statistical methods can be applied in quality control, process control and process development.
Content
• Basics of statistical analysis: distributions, principles of probability, principles of correlation and regression analysis
• Graphical presentation of statistical data
• Process capability and how to measure it
• Statistical process control
Further information
Enrollment directly to the lecturer by email tiina.mikkola (at) metropolia.fi. You can enroll at any time during the year. NOTE for the Master´s students only.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance: the student has completed basic requirements to pass the course and has demonstrated some ability to apply knowledge in the learning assignments related to working life. His/her analytical skills and/or the development approach need major improvement.
Assessment criteria, good (3)
Good overall performance by the student in course work. The student has been an active learner as an individual and in teams. S/he has demonstrated how to apply knowledge in the learning assignments related to analysing and developing working life.
Assessment criteria, excellent (5)
The student has shown excellent performance in all elements of the course. S/he has shown motivation and interest in individual and team learning as well as in sharing one’s expertise. The student has demonstrated well and creatively how to apply knowledge in the learning assignments related to analysing and developing working life.
Assessment criteria, approved/failed
Sufficient performance: the student has completed basic requirements to pass the course and has demonstrated some ability to apply knowledge in the learning assignments related to working life. His/her analytical skills and/or the development approach need major improvement.
Qualifications
None