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Analyses of energy and environmental measurements (5 cr)

Code: LMSV2400-3001

General information


Enrollment
20.11.2023 - 04.01.2024
Registration for the implementation has ended.
Timing
09.02.2024 - 31.05.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
1 cr
Virtual portion
4 cr
Mode of delivery
Blended 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
Course
LMSV2400

Realization has 5 reservations. Total duration of reservations is 7 h 30 min.

Time Topic Location
Thu 14.03.2024 time 14:15 - 15:45
(1 h 30 min)
Energia- ja ympäristömittausten analyysit LMSV2400-3001
TU17L120 Oppimistila
Fri 05.04.2024 time 14:15 - 15:45
(1 h 30 min)
Energia- ja ympäristömittausten analyysit LMSV2400-3001
TU17L120 Oppimistila
Fri 19.04.2024 time 14:15 - 15:45
(1 h 30 min)
Energia- ja ympäristömittausten analyysit LMSV2400-3001
TU17L120 Oppimistila
Fri 03.05.2024 time 14:15 - 15:45
(1 h 30 min)
Energia- ja ympäristömittausten analyysit LMSV2400-3001
TU17L120 Oppimistila
Fri 17.05.2024 time 14:15 - 15:45
(1 h 30 min)
Energia- ja ympäristömittausten analyysit LMSV2400-3001
TU17L120 Oppimistila
Changes to reservations may be possible.

Evaluation scale

0-5

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

Teaching methods

Lectures and demonstrations
Assignments
Independent studies

Student workload

Contact lessons 14 h
Independent studies 121 h

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.

Further information

Assignments
Exam

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