Datan analysointi ja hyödyntäminen
| Rakennetyyppi: | Opintojakso |
|---|---|
| Koodi: | IK00BF08 |
| OPS: | KT 2021V |
| Taso: | Insinööri (AMK) |
| Opiskeluvuosi: | 3 (2023-2024) |
| Lukukausi: | Kevät |
| Laajuus: | 5 op |
| Vastuuopettaja: | Agbejule, Adebayo |
| Opetuskieli: | Englanti |
Toteutukset lukuvuonna 2023-2024
| Tot. | Ryhmä(t) | Opiskeluaika | Opettaja(t) | Kieli | Ilmoittautuminen |
|---|---|---|---|---|---|
| 3001 | ET2021V-3B, KT2021V-3B | 8.1.2024 – 25.5.2024 | Viktor Asplund | Suomi | 1.12.2023 – 12.1.2024 |
Osaamistavoitteet
Upon completing this course, students will be able to:
understand the concepts needed for data science
learn how to work with different types of data
learn how to plot different types of data
learn skills on how make data driven decisions
Opiskelijan työmäärä
70h scheduled studies
65h autonomous studies
The assessment of student’s own learning 1 h is included in contact lessons.
Edeltävät opinnot / Suositellut valinnaiset opinnot
Basic knowledge of Excel
Basics of Probability and Statistics
Sisältö
This course teaches students how to use data in organisations. The course would prepare students to learn how to work with different types of data and make data driven decisons. This would include understanding the challenges and capabilities of making decisions using data. Topics to be covered include data manipulation, descriptive and predictive analysis. The course will include working with data and software. Contents of course include:
Evidence-based analysis
Business Analytics
Descriptive Analytics
Predictive Analyttics
Data Mining
Aluevaikuttavuus
Students would be do decisions on based sound scientific principles related to issues afftect Finland and the EU.
Kansainvälisyys
Students would be able to do analysis on global issues such the enviironment and climate change.
Opiskelumateriaali
Business Analytics, 2nd Edition by John Evans
Opetusmuoto / Opetusmenetelmät
Lectures, assignments, team works and project work
Arviointikriteerit
1: The student is able, with guidance, to utilise the methods learnt during the study unit.
3: The student is able to utilise the methods learnt during the study unit independently.
5: The student is able to utilise the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts
Arviointimenetelmät
Active participation, team works, exams and project work