||Location: Lappeenranta, kokonaan verkossa / full digi|
The course is suitable for distance learning.
||M.Sc. (Tech.) 1 |
|Teacher(s) in Charge
Satu-Pia Reinikainen, D.Sc. (Tech.), Professor
Maaret Paakkunainen, D.Sc. (Tech.)
Eeva Jernström, D.Sc. (Tech.)
Tuomas Sihvonen, M. Sc. (Tech)
By the end of the course, the student is expected to
- understand role and state-of-art of analytics in environmental and industrial contexts
- understand steps from the measurements to decision making
- estimate sampling uncertainties
- be able to apply process management skills in implementation of project work.
Main themes addressed are reliable sampling, traceability of measurements, modern
instrumentation, data handling, process and environmental control/monitoring, and license to operate. Students will carry out a project work on one of these topics, report and present it as visual synthesis. In addition a study visit aiming at
improved understanding of analytics will be carried out with a problem based learning procedure. Course contains tutorials on these topics, hands on workshops (optional), and study visits.
8 h of Tutorials, 2 h Study visit, 20 h Moodle assignments or workshops, 30 h Project work, 70 h Independent work.
Total workload 130 h.
|Suitability for doctoral studies (Yes/Leave empty)
|Examination in Examination schedule (Yes/No)
|Examination in Moodle (Yes/No)
|Examination in Exam (Yes/No)
|Assessment scale and assessment methods
Numerical assessment (0-5), 30 % Moodle assignments, 30 % Project Work, and 20 % workshops and 20 % study visits.
To be announced.
|Places for exchange-students? (Yes, number/No)
||max 15 |
|Places for Open University Students?(Yes, number/No)
||max 5 |