Analyysin laadunvarmistus ja laitteiden ylläpito (10 cr)
Code: TX00BQ21-3005
General information
Enrollment
02.12.2019 - 07.01.2020
Timing
13.01.2020 - 13.03.2020
Number of ECTS credits allocated
10 op
Mode of delivery
Contact teaching
Unit
(2016-2018) Puhtaat teknologiat
Campus
Leiritie 1
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Laboratorioanalytiikan tutkinto-ohjelma
Teachers
- Mia Ruismäki
- Eija Koriseva
- Miika Kuivikko
Groups
-
TXS18S1Laboratorioanalytiikan tutkinto-ohjelma päivä
Objective
The student will comprehend the laboratory quality systems (for example SFS-EN ISO/IEC 17025) and the significance of its components with regard to the reliability of analysis results. The student also knows the demands of proper documentation and filing. The student is able to visualize and interpret statistical data. The student knows confidence intervals, several statistical tests, regression analysis, and can apply these in solving typical simple applications of his/her own field. S/he can validate analytical methods: prepare validation plans, make statistical calculations and write validation reports. The student can perform service and maintenance duties of different analytical equipment and test the operational performance of devices.
Content
1. Quality systems in a laboratory
2. Quality assurance of an analysis
3. Analytical method validation in practice
4. Quality assurance and maintenance of the laboratory instruments and equipment
5. Statistical methods used in the laboratory
Materials
- Daniel C. Harris: Quantitative Chemical Analysis (8. painos)
- Ellison, Stephen L. R., Farrant, Trevor J., Barwick, Vicki J.: Practical Statistics for Analytical Scientist A Bench Guide (2009), e-book for free in Metropolia UAS
Teaching methods
Contact teaching, computer excercises, learming assignments, projects (validation)
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student is able to display learning in core content and uses individual professional concepts and knowledge correctly.
Assessment criteria, good (3)
The student is able to maintain the laboratory equipment and validate the analytical methods. The student uses concepts of the statistical methods and quality assurance fluently and understands the possibilities of the statistical tests.
Assessment criteria, excellent (5)
The student is able to apply his/her professional skills in practice. S/he uses the concepts and knowledge in quality assurance professionally.
Assessment criteria, approved/failed
The student is able to display learning in core content and uses individual professional concepts and knowledge correctly.
Assessment methods and criteria
Exam Statistics 40% (Eija Koriseva)
Exam Quality 10% (Mia Ruismäki)
Validation plan, report and presentation 30%
"Maintenance of equipment" reports 20%
Qualifications
Mathematics and Physics in Chemical Analysis
Chromatography
Spectrometry