Research and Development MethodsLaajuus (5 op)
Tunnus: MS00BW98
Laajuus
5 op
Osaamistavoitteet
After passing the course the student is able to:
· search and utilize scientific literature
· identify and describe the main research and development approaches and analysis methods
· choose and apply an appropriate methodology for his/her work
- choose a suitable software or programming environment for statistical analysis.
- use the basic functionality of the chosen environment.
- be aware of differences in data file formats and is able to open files for reading and writing.
- perform basic data cleansing e.g. to treat outliers and missing data.
- know the difference between data types.
- do basic sampling descriptive statistics
- graphically represent data.
- make linear fits and linear regression analysis.
- do statistical tests, Z-test, F-test and Student’s t-test
Sisältö
Basics of research
Qualitative and quantitative research methods
Start of the Master´s Thesis project
Ilmoittautumisaika
01.08.2022 - 02.09.2022
Ajoitus
01.09.2022 - 31.12.2022
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
TKI-osuus
3 op
Toteutustapa
Etäopetus
Yksikkö
Tekniikka ja liiketoiminta
Opetuskielet
- Englanti
Paikat
5 - 35
Koulutus
- Master of Engineering, Industrial Quality Management
Opettaja
- Ulla Seppälä-Kaven
- Patric Granholm
- Sari Airenne
Ryhmät
-
YIQMS22VMaster of Engineering, Industrial Quality Management, Online
Tavoitteet
After passing the course the student is able to:
· search and utilize scientific literature
· identify and describe the main research and development approaches and analysis methods
· choose and apply an appropriate methodology for his/her work
- choose a suitable software or programming environment for statistical analysis.
- use the basic functionality of the chosen environment.
- be aware of differences in data file formats and is able to open files for reading and writing.
- perform basic data cleansing e.g. to treat outliers and missing data.
- know the difference between data types.
- do basic sampling descriptive statistics
- graphically represent data.
- make linear fits and linear regression analysis.
- do statistical tests, Z-test, F-test and Student’s t-test
Sisältö
Basics of research
Qualitative and quantitative research methods
Start of the Master´s Thesis project
Arviointiasteikko
H-5
Ilmoittautumisaika
31.07.2021 - 30.09.2021
Ajoitus
01.09.2021 - 31.12.2022
Opintopistemäärä
5 op
Virtuaaliosuus
5 op
TKI-osuus
2 op
Toteutustapa
Etäopetus
Yksikkö
Tekniikka ja liiketoiminta
Opetuskielet
- Englanti
Paikat
5 - 30
Koulutus
- Master of Engineering, Industrial Quality Management
Opettaja
- Ulla Seppälä-Kaven
- Patric Granholm
Ryhmät
-
YIQMVS21Master of Engineering, Industrial Quality Management, Online
Tavoitteet
After passing the course the student is able to:
· search and utilize scientific literature
· identify and describe the main research and development approaches and analysis methods
· choose and apply an appropriate methodology for his/her work
- choose a suitable software or programming environment for statistical analysis.
- use the basic functionality of the chosen environment.
- be aware of differences in data file formats and is able to open files for reading and writing.
- perform basic data cleansing e.g. to treat outliers and missing data.
- know the difference between data types.
- do basic sampling descriptive statistics
- graphically represent data.
- make linear fits and linear regression analysis.
- do statistical tests, Z-test, F-test and Student’s t-test
Sisältö
Basics of research
Qualitative and quantitative research methods
Start of the Master´s Thesis project
Arviointiasteikko
H-5