Forest Big Data (5 op)
Toteutuksen tunnus: 6M00CZ11-3001
Toteutuksen perustiedot
- Ilmoittautumisaika
- 02.12.2017 - 18.03.2018
- Ilmoittautuminen toteutukselle on päättynyt.
- Ajoitus
- 01.01.2018 - 30.06.2018
- Toteutus on päättynyt.
- Laajuus
- 5 op
- Virtuaaliosuus
- 3 op
- Toteutustapa
- Monimuoto-opetus
- Yksikkö
- Metsätalous
- Toimipiste
- TAMK Pääkampus
- Opetuskielet
- suomi
- Paikat
- 5 - 10
- Koulutus
- Master's Degree in International Forestry
- Opettajat
- Erkki Hietalahti
- Eeva Sundström
- Metsätalous Virtuaalihenkilö
- Vastuuhenkilö
- Eeva Sundström
- Opintojakso
- 6M00CZ11
Osaamistavoitteet (Opintojakso)
The student has a broad picture of the state-of-art of sources, production and uses of digitalization and big data in forestry and related businesses. The student is able to anticipate future trends related to big data and its effects on decision making and practices in forestry. Student is able to analyze the possibilities to use big data in forestry in different countries and implement convenient tools and methods.
Sisältö (Opintojakso)
Sources of data, producers of data, methods and tools for analyzing big data, applications of internet-of-things in forestry. Predictions of future trends
Tenttien ja uusintatenttien ajankohdat
No exam. The assessment will be based on the project work.
Arviointimenetelmät ja arvioinnin perusteet
The project report must be returned and passed.
Arviointiasteikko
0-5
Opiskelumuodot ja opetusmenetelmät
Lectures
Visiting lecturers
Group Work and discussions
Use Case of Big Data, which will be reported
Oppimateriaalit
Articles
Ohlhorst, F. 2013. Turning Big Data into Big Money. E-book
Monino, Jean-Louis,Sedkaoui, Soraya 2016. Big Data, Open Data and Data Development. E-book.
Nataraj Dasgupta. 2018.Practical Big Data Analytics. E-book.
Opiskelijan ajankäyttö ja kuormitus
Contact teaching 19 h. Rest of time students' own work.
Sisällön jaksotus
16.2.2018:
Pretask
16.3.2018:
Pretask results
Open data presentation
Planning the project work, discussing (via Tabula) about the issues during the planning process
Carrying out the project work
20.4.2018:
Stage of the project work
Visiting lectures
18.5.2018
Draft of the report
Visiting lecture
Harjoittelu- ja työelämäyhteistyö
Visiting lectures
Project work related with work life.
Arviointikriteerit - hylätty (0) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
The student does not return the project report at all.
Arviointikriteerit - tyydyttävä (1-2) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
The student has defined some data sources over the issue, but the purpose and focus of the project work is defectively described. The influence and meaning on the work has not been included in the report.
Arviointikriteerit - hyvä (3-4) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
The student has worked out the availability of data and has described the use of it.
The analysis of the data use is rather restricted and the description of the influence of big data use now and in the future is narrow.The student has covered his/her own understanding over the issue very narrowly or hardly at all.
Arviointikriteerit - kiitettävä (5) (Ei käytössä, kts Opintojakson Arviointikriteerit ylempänä)
The student has analysed the availability and possibilities of big data very extensively and has been able to reflect influence the use of big. The student can also analyse the need of skills and analysis the project work implementation might require. The student has also pondered the role of big data in the future and students own understanding over the issue.