Quantitative Methods for Quality Management (5 ECTS)
Code: LY00EC29-3008
General information
- Enrollment
-
02.05.2024 - 30.11.2025
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
-
02.05.2025 - 31.12.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 5 ECTS
- Mode of delivery
- Online
- Unit
- (2019-2024) School of Business
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 20 - 100
- Degree programmes
- Master´s Degree Programme in Public Procurement (Social Sciences, Business and Administration)
- Master's Degree Programme in Change Management
- Master's Degree Programme in Procurement (Social Sciences, Business and Administration)
- Master's Degree Programme in Business Informatics (Social Sciences, Business and Administration)
- Teachers
- Tiina Mikkola
- Teacher in charge
- Raisa Varsta
- Groups
-
L1224S6Julkisten hankintojen tutkinto-ohjelma, ylempi amk , liiketalous
-
L1424S6Muutosjohtaminen, ylempi
- Course
- LY00EC29
Objective
The student is able to use statistical methods to analyse and assess quantitative quality management data and present the results graphically. The student knows what kinds of statistical methods can be applied in quality control, process management and process development.
Content
• The basics of statistical analytics: distribution processing, principles of probability, basic principles of correlation and regression anlyses
• Graphical presentation of statistical data
• Process competency and how to measure it
• Statistical process control
Location and time
The course is a non-stop online course. You can do it independently and at your own pace in Moodle learning environment. However, it's important to allocate sufficient time for independent study. For a 5-credit course, the estimated workload is 135 hours.
Course credits are recorded in the study register only 1.9. - 7.9.2025 and 12. - 18.1.2026.
To enhance learning, there is a virtual Q&A session once a month (except for holiday periods) where the teacher is available. Any topic related to the course can be discussed there. Participation in virtual Q&A sessions is not compulsory.
Materials
Teacher materials in Moodle learning environment.
NB: The course material is in Finnish.
Teaching methods
Course level: For Master´s students only
Independent studying
Assignments
Exam in an electronic exam system.
Prerequisite for the course: Completed university degree, Finnish language skills.
Employer connections
N/A
Exam schedules
The exam can be taken at the end of August or December, with exact dates to be announced later. Students can register for the exam once they achieve at least 50% of the maximum score on each set of assignments.
The student can take the exam a maximum of three times (the actual exam and two retakes).
International connections
N/A
Completion alternatives
N/A
Student workload
Total 135 hours which includes independent study, solving problems, taking the exam, and participating in voluntary Q&A sessions.
Content scheduling
The students progress in their own schedule.
Further information
You can register for the course during the period 2.5. - 30.11.2025. The teacher confirms the registrations once a week. Registrations will not be processed during the summer holidays 14.6. - 10.8.2025.
NOTE 1: If you want to study during the summer break, enroll in the course before the break starts, even if you don't begin studying right away. After the break, enroll in the course only when you are ready to start. If you do not start studying in Moodle within two weeks of your enrollment being accepted in the fall, you will be removed from the course.
NOTE 2: For the Master´s students only, course material in Finnish.
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment criteria, good (3)
Good overall performance: can apply and articulate concepts and information well both verbally and in writing, certain areas of individual or team output require further attention; shows appropriate level of interest and motivation in individual and team activities. Good presentation delivery and analysis.
Assessment criteria, excellent (5)
Excellent performance in all elements of the course: shows interest and motivation in individual and team activities and assignments, fully applies and clearly articulates concepts and information both verbally and in writing. The student is able to support his/her argument with references to the recommended reading and lecture content. Excellent presentation delivery and analysis.
Assessment criteria, approved/failed
Sufficient performance: has completed basic requirements to pass the course and has made an attempt to apply and articulate concepts and information both verbally and in writing but has not made enough effort overall. The student has demonstrated little effort, interest and motivation for individual or team activities / assignments and the output is rather weak.
Assessment methods and criteria
The course consists of two parts: assignments to be completed in Moodle and an exam to be taken in the electronic exam system. Both parts are evaluated on a scale of 0-5, and both must receive a passing grade. The final course grade is calculated as a weighted average of the two parts, with the assignments accounting for 40% and the exam 60% (course grade = 0.4 x assignment grade + 0.6 x exam grade).
The grades for both the exam and the assignments are determined based on the ratio of the total points received by the student to the maximum points available in each section. The lower limits for grades are as follows:
50 % of total points: 1
60 % of total points: 2
70 % of total points: 3
80 % of total points: 4
90 % of total points: 5
Qualifications
Research Methods and Tools