Data Collection from Bioeconomy ProcessesLaajuus (5 cr)
Code: LM00CC19
Credits
5 op
Teaching language
- Finnish
Responsible person
- Juho Pirttiniemi
Objective
Purpose of the course
This course will enable you to plan the collection of high quality data that is essential for bioeconomy processes. Together, we will use topics of interest to projects and students to select and design measurement situations. We will also practice together how to use and interpret data.
Competences
Technological competences:
-Know how to measure quantities in biomass production and refining processes and analyse measurement results
-be able to exploit different data sources in the bioeconomy, ensuring data accuracy and data security
Science and environmental competences:
-be able to apply biology, mathematics, chemistry and physics to applied tasks in rural industries
Proactive development:
-can apply existing knowledge in the field and use research and development methods in development
Learning outcomes
After completing this course, you will be able to select the essential variables and characteristics that influence biomass growth and bioeconomy production processes. You will know how to measure them in practice and how to design, implement and document a measurement according to an experimental design. You will consider the impact of research designs on measurement results and identify ways to analyse measurement results.
Content
Design and implementation of the measurement and experimental set-up. Exploiting technologies of the smart bioeconomy. Combining different data sources to create an essential knowledge base. Preliminary analysis of the measurements and conclusions from the results.
The scope of the different topics and processes in the bioeconomy will be decided according to the interests of the participants, the needs of the project activities and the technologies available.
Qualifications
Strong basic knowledge of the different production processes of the bioeconomy: agriculture, forestry, environmental knowledge and/or other bioeconomy application areas
Assessment criteria, satisfactory (1)
Intermediate 1:
You can select relevant variables and characteristics that influence biomass growth and bioeconomy production processes. You know how to measure them in practice and can design, implement and document a measurement according to an experimental design. You will consider the impact of research designs on measurement results and identify ways to analyse measurement results.
Satisfactory 2:
You will be able to select relevant variables and characteristics that influence biomass growth and bioeconomy production processes. You outline how to measure them in practice and know how to design, implement and document a measurement according to an experimental design. You will compare the impact of research designs on measurement results and know how to analyse measurement results.
Assessment criteria, good (3)
Good 3:
You can select relevant variables and characteristics that influence biomass growth and bioeconomy production processes. You will build a practical understanding of their measurement and be able to justifiably design, implement and document a measurement according to an experimental design. You will compare and explain the impact of research designs on measurement results and use different ways to analyse measurement results.
Excellent 4:
You can justifiably select relevant variables and characteristics that influence biomass growth and bioeconomy production processes. You will build a practical understanding of their measurement and be able to justifiably design, implement and document a measurement according to an experimental design. You will compare explanatory and different perspectives on the impact of research designs on measurement results and use a comprehensive range of approaches to analyse measurement results.
Assessment criteria, excellent (5)
Excellent 5:
You will be able to select, in a reasoned manner, essential variables and properties that influence biomass growth and bioeconomy production processes.You will plan extensively how to measure them in practice and you will be able to design, implement and document a measurement according to an experimental design. You will compare and analyse the impact of research designs on measurement results and competently apply different ways of analysing measurement results.
Further information
The course is recommended to be taken before the course Data Utilization in Bioeconomy.