Upcoming implementations:

•   Measuring techniques 5100BI59-3001 09.01.2023-30.04.2023  6 credits  (PEYTES19, ...) +-
  Teacher(s) in charge

  Antti Kaseva, Eemeli Huhta

  Learning material

  Opintojakson Its learning oppimisympäristössä annetut materiaalit. (not translated)

  Learning methods

  - Lecture videos on methods & technologies
  - Short hands-on sessions
  - Supervised individual and group assignments & field visits for case examples

  Objects, timing and methods of assessment

  Course will be assessed by scale of 0 - 5.

  Teaching language

  Finnish

  Timing

  09.01.2023 - 30.04.2023

  Enrollment date range

  01.12.2022 - 07.01.2023

  Group(s)

  • PEYTES19
  • PEYTES20

  Responsible unit

  Engineering and Business

  Teachers and responsibilities

  Teachers: Eemeli Huhta, Antti Kaseva & Heidi Vilminko

  Additional information

  Lisätiedot: eemeli.huhta@turkuamk.fi (not translated)

  Degree Programme(s)

  Degree Programme in Energy and Environmental Technology

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  Ei valinnaisia suoritustapoja. (not translated)

  Pedagogic approaches

  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.

  Student's schedule and workload

  Learning will include diverse range of independent and group assignments.
  1 student credit equals approximately 27 hours of work.

  Content scheduling

  Lectures on Tuesdays and/or Fridays (starting from week 2, 2023)
  Contact lectures will be held on weeks: 2,4,6,7,10 and 12-15. Lab, field and visitor lectures are compulsory.
  
  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)