Research Methodology and Statistics
| Rakennetyyppi: | Opintojakso |
|---|---|
| Koodi: | TIP0607 |
| Tyyppi: | Pakollinen |
| OPS: | IB 2017 |
| Taso: | Tradenomi (AMK) |
| Opiskeluvuosi: | 2 (2018-2019) |
| Laajuus: | 3 op |
| Vastuuopettaja: | Ranta, Mikko |
| Opetuskieli: | Englanti |
Toteutukset lukuvuonna 2018-2019
| Tot. | Ryhmä(t) | Opiskeluaika | Opettaja(t) | Kieli | Ilmoittautuminen |
|---|---|---|---|---|---|
| 5 | T-IB-3-1 | 7.1.2019 – 26.5.2019 | Kerstin Siegfrids | Englanti | 10.12.2018 – 14.1.2019 |
| 6 | T-IB-3-2 | 7.1.2019 – 26.5.2019 | Kerstin Siegfrids | Englanti | 10.12.2018 – 14.1.2019 |
Suoritus rästissä? Katso toteutukset lukuvuonna 2020-2021.
Osaamistavoitteet
The student is able to find statistical data and interpret statistical figures. The student is able to analyze statistical data with different statistics. The student knows the basics of correlation and regression analysis. The student can critically analyze the results acquired from the research. The student is able to use Excel software for statistical analysis.
Opiskelijan työmäärä
Total work load of the course: 81 h
- of which scheduled studies: 40 h
- of which autonomous studies: 41 h
The assesment of student's own learning 1 h is included in contact lessons.
Edeltävät opinnot / Suositellut valinnaiset opinnot
No prequisities.
Sisältö
Basic terms, statistical charts, parameter estimation, linear regression, dependence analysis, correlation. Excel in statistical research.
Opiskelumateriaali
Lecture notes
Opetusmuoto / Opetusmenetelmät
Lectures and exercises, final exam
Arviointikriteerit
1 = The student has a basic understanding of theory and is able to solve basic exercises.
3 = The student understands the theory of statistics and is able to solve more difficult exercises by using the theory.
5= The student is able to apply the theory of statistics and develope own models for solving exercises.
Arviointimenetelmät
Final exam (70%) and exercises (30%). Numerical 1-5.