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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

01.12.2024 - 12.01.2025

Timing

13.01.2025 - 30.04.2025

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 Technology
Teachers
  • Antti Kaseva
  • Anu Vehmaa
Groups
  • PEYTES22
  • 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 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.

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

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.

Content scheduling

Lectures on Mondays and/or Thursdays (starting from week x, 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)

Further information

Contact: anu.vehmaa@turkuamk.fi

Evaluation scale

H-5

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
  • Anu Vehmaa
  • 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