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Analyses of energy and environmental measurementsLaajuus (5 cr)

Code: LMSV2400

Credits

5 op

Teaching language

  • Finnish

Responsible person

  • Laura Vertainen

Objective

Purpose of the course:
After completing this course, you will be able to analyze the measurements of bioeconomy production processes. You also know how to interpret measurement data produced by new technological solutions and GIS applications and recognize its benefits in development and business related to biomass cultivation and utilization.

Competences of the course:
Environmental Expertise
Technology Expertise
Energy Expertise
Research and Development Expertise

Learning outcomes in the course:
You know how to analyze the measured data from biomass growth and refining, alterations in water and ground properties, and energy production and use. You are familiar with data analyzing tools and ways to illustrate the results.

Content

Various bioeconomy production process data and their characteristics
Viewing measurement data
Measurement data processing
Different data processing tools and methods
Identification of measurement errors and assessment of significance
Visualization of analysis results
Interpretation and meaning of analysis results

Assessment criteria, satisfactory (1)

Sufficient 1:
You know some analysis methods of bioeconomy measurements and know how to use them in simple applications. You can illustrate analysis results.

Satisfactory 2:
You know some analysis methods of bioeconomy measurements and you know how to interpret them and use them in applications. You can illustrate analysis results.

Assessment criteria, good (3)

Good 3:
You know some analysis methods of bioeconomy measurements and you know how to interpret them and use them in applications. You can illustrate analysis results and produce new information based on the results. You identify errors and uncertainties related to measurement and analysis.

Very good 4:
You know the analysis methods of bioeconomy measurements and know how to interpret them and use them in application areas. You can illustrate analysis results in a versatile way and produce new information based on the results. You recognize errors and uncertainties related to measurement and analysis and their importance in terms of applying the information.

Assessment criteria, excellent (5)

Excellent 5:
You master bioeconomy measurement analysis methods and can interpret them critically and utilize them in application areas. You can illustrate analysis results in a versatile way and produce relevant new information based on the results. You recognize errors and uncertainties related to measurement and analysis and their importance in terms of applying the information.

Enrollment

20.11.2023 - 04.01.2024

Timing

09.02.2024 - 31.05.2024

Number of ECTS credits allocated

5 op

Virtual portion

4 op

Mode of delivery

20 % Face-to-face, 80 % Online learning

Unit

School of Technology

Campus

Institute of Bioeconomy

Teaching languages
  • Finnish
Seats

20 - 50

Degree programmes
  • Bachelor's Degree Programme in Agricultural and Rural Industries
Teachers
  • Laura Vertainen
  • Hannariina Honkanen
Teacher in charge

Laura Vertainen

Groups
  • LMS21S1
    Maaseutuelinkeinot (AMK)
  • LMS20S1
    Maaseutuelinkeinot
  • LMS21KM
    Bachelor's Degree Programme in Agricultural and Rural Industries
  • LMS22KM
    Agrologi (AMK), maaseutuelinkeinot, monimuotototeutus

Objectives

Purpose of the course:
After completing this course, you will be able to analyze the measurements of bioeconomy production processes. You also know how to interpret measurement data produced by new technological solutions and GIS applications and recognize its benefits in development and business related to biomass cultivation and utilization.

Competences of the course:
Environmental Expertise
Technology Expertise
Energy Expertise
Research and Development Expertise

Learning outcomes in the course:
You know how to analyze the measured data from biomass growth and refining, alterations in water and ground properties, and energy production and use. You are familiar with data analyzing tools and ways to illustrate the results.

Content

Various bioeconomy production process data and their characteristics
Viewing measurement data
Measurement data processing
Different data processing tools and methods
Identification of measurement errors and assessment of significance
Visualization of analysis results
Interpretation and meaning of analysis results

Teaching methods

Lectures and demonstrations
Assignments
Independent studies

Student workload

Contact lessons 14 h
Independent studies 121 h

Further information for students

Assignments
Exam

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1:
You know some analysis methods of bioeconomy measurements and know how to use them in simple applications. You can illustrate analysis results.

Satisfactory 2:
You know some analysis methods of bioeconomy measurements and you know how to interpret them and use them in applications. You can illustrate analysis results.

Evaluation criteria, good (3-4)

Good 3:
You know some analysis methods of bioeconomy measurements and you know how to interpret them and use them in applications. You can illustrate analysis results and produce new information based on the results. You identify errors and uncertainties related to measurement and analysis.

Very good 4:
You know the analysis methods of bioeconomy measurements and know how to interpret them and use them in application areas. You can illustrate analysis results in a versatile way and produce new information based on the results. You recognize errors and uncertainties related to measurement and analysis and their importance in terms of applying the information.

Evaluation criteria, excellent (5)

Excellent 5:
You master bioeconomy measurement analysis methods and can interpret them critically and utilize them in application areas. You can illustrate analysis results in a versatile way and produce relevant new information based on the results. You recognize errors and uncertainties related to measurement and analysis and their importance in terms of applying the information.