Natural and process water monitoringLaajuus (5 cr)
Code: TE00CO08
Credits
5 op
Objective
- The student learns the theory and principles of selected measurement & monitoring techniques
- The student is able to apply state-of-the-art & emerging sensor technologies in lab and on field
- The student gets familiar to the monitoring solutions and applications used in the natural and process water monitoring
- The student learns the fundamentals of design and implementation of measurement programs
- The student learns the fundamentals of data processing (quality control, uncertainty assessment, deriving secondary parameters)
Enrollment
01.12.2023 - 05.01.2024
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Energy and Environmental Engineering
Teachers
- Antti Kaseva
- Eemeli Huhta
Groups
-
PEYTES20
-
PEYTES21
Objective
- The student learns the theory and principles of selected measurement & monitoring techniques
- The student is able to apply state-of-the-art & emerging sensor technologies in lab and on field
- The student gets familiar to the monitoring solutions and applications used in the natural and process water monitoring
- The student learns the fundamentals of design and implementation of measurement programs
- The student learns the fundamentals of data processing (quality control, uncertainty assessment, deriving secondary parameters)
Materials
Materials provided in Its Learning course platform.
Teaching methods
- Lecture videos on methods & technologies
- Short hands-on sessions
- Supervised individual and group assignments & field visits for case examples
Exam schedules
Assignment-based Failed-5 assessment will be applied.
International connections
Course will apply TurkuUAS innovation pedagogy methods. Theoretical studies are connected to to practical work such as hands-on sessions, group assignments & field visits for case examples. Learned theoretical knowledge will be applied to practical work helping to achieve deeper learning through real life research, development and innovation examples. Students will have active role and they will have the responsibility for own learning activities and time planning.
Completion alternatives
None.
Student workload
Learning will include diverse range of independent and group assignments.
1 student credit equals approximately 27 hours of work.
Content scheduling
Lectures on Mondays and/or Thursdays (starting from week 2, 2024)
Students will gain a good command of:
- Theory and principles of selected measurement & monitoring techniques
- Application of state-of-the-art & emerging sensor technologies for lab and field usage
- Fundamentals of design and implementation of measurement programs
- Fundamentals of data processing (quality control, uncertainty assessment, deriving secondary parameters)
Further information
Contact: eemeli.huhta@turkuamk.fi
Evaluation scale
H-5