Quality Assurance of Analysis and Laboratory Equipment Maintenance (10 ECTS)

Learning outcomes

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

Prerequisites

Mathematics and Physics in Chemical Analysis
Chromatography
Spectrometry

Teaching methods

Contact teaching, computer excercises, learming assignments, projects (validation)

Learning materials and recommended literature

- 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

Exam dates and retake possibilities

Laatu-osuuden (1 op, Mia) Moodle-tentti pidetään to 4.3 klo 8 (uusinnat ilmoitetaan myöhemmin)

Further information for students

Mian laatuosuuden OMAssa olevat tehtävät ovat pakollisia. Puuttuvista tehtävistä laatu-tentin arvosana pienenee 0,25 yksikköä/puuttuva tehtävä.

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%

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.