Basics of QualityLaajuus (5 cr)
Code: 5021102
Credits
5 op
Objective
The student knows the basic terminology of quality and metrology and identifies various quality control systems. The student knows how to estimate the uncertainty of measurements. The student is able to use statistical methods to estimate the reliability of the measurements in the report.
Content
The terminology of quality, metrology and quality system. The basics of statistics in the laboratory, the reliability of measurements.
Enrollment
01.06.2022 - 11.09.2022
Timing
29.08.2022 - 16.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Chemical and Materials Engineering
Teachers
- Taina Hovinen
- Patric Granholm
Groups
-
PBIOKES20
-
PBIOKES20elintarvikePBIOKES20elintarvike
-
PBIOKES20materiaaliPBIOKES20materiaali
-
PBIOKES20bioPBIOKES20bio
Objective
The student knows the basic terminology of quality and metrology and identifies various quality control systems. The student knows how to estimate the uncertainty of measurements. The student is able to use statistical methods to estimate the reliability of the measurements in the report.
Content
The terminology of quality, metrology and quality system. The basics of statistics in the laboratory, the reliability of measurements.
Materials
Basic Statistics : Understanding Conventional Methods and Modern Insights
Rand R. Wilcox
The book is available at the Turku University of Applied Sciences Library as an e-book: https://ebookcentral.proquest.com/lib/turkuamk-ebooks/detail.action?docID=453655
Teaching methods
Statistics Student centric teaching methods
Exam schedules
Statistics: To be announced later
International connections
Statistics: Guided exercises and self study
Student workload
Statistics
Guided exercices: 20 h
Independent work 34 h
Content scheduling
Statistics:
- File formats and reading data files
- Data cleansing, outlier tests
- Graphical representation of data
- Curve fitting, linear regression
- Sampling and descriptive statistical
- Statistical tests, Z- test, F-test, Student's t-test
Evaluation scale
H-5
Assessment methods and criteria
Statistics: Assessment is based on one final exam
Assessment criteria, fail (0)
Statistics < 50 % of the total exam scores
Assessment criteria, satisfactory (1-2)
Statistics 60-70 % of the total exam scores
Assessment criteria, good (3-4)
Statistics 70-80 % of the total exam scores
Assessment criteria, excellent (5)
Statistics > 90 % of the total exam scores