Natural and process water monitoring (5 cr)
Code: TE00CO08-3002
General information
- Enrollment
-
01.12.2024 - 12.01.2025
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 30.04.2025
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Teaching languages
- Finnish
- Degree programmes
- Degree Programme in Energy and Environmental Technology
- Teachers
- Antti Kaseva
- Anu Vehmaa
- Course
- TE00CO08
Realization has 10 reservations. Total duration of reservations is 33 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 13.01.2025 time 10:00 - 12:00 (2 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_2067
Oppimistila avo muunto byod
|
|
Mon 20.01.2025 time 08:00 - 11:00 (3 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_2006_2007
Oppimistila avo muunto byod
|
|
Thu 06.02.2025 time 13:00 - 16:00 (3 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_2002
Ivar muunto byod
|
|
Mon 10.02.2025 time 09:00 - 11:00 (2 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
Vesilabra
|
|
Thu 27.02.2025 time 12:30 - 14:00 (1 h 30 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
Vierailu Kakolanmäen jätevedenpuhdistamolla
|
|
Thu 06.03.2025 time 12:00 - 14:00 (2 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_3002
Henrik muunto byod
|
|
Thu 13.03.2025 time 08:00 - 16:00 (8 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
Kenttäpäivä
|
|
Thu 20.03.2025 time 12:00 - 14:00 (2 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_3002
Henrik muunto byod
|
|
Thu 27.03.2025 time 10:00 - 12:00 (2 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
EDU_2003
Erik muunto byod
|
|
Thu 17.04.2025 time 08:00 - 16:00 (8 h 0 min) |
Vesistöseurannat ja prosessivesien monitorointi TE00CO08-3002 |
Kenttäpäivä
|
Evaluation scale
H-5
Content scheduling
Lectures on Mondays and/or Thursdays (starting from week 3, 2025)
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)
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 ItsLearning 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 H-5 assessment will be applied.
Pedagogic approaches and sustainable development
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
The course uses task-based assessment, which is why there are no optional completion methods.
Student workload
Learning will include diverse range of independent and group assignments.
1 student credit equals approximately 27 hours of work.
Further information
Contact: anu.vehmaa@turkuamk.fi