VAMK

Vaihda kieltä: English

Etusivu > Opintohaku > Research Methodology and Statistics (TIP0607)

Research Methodology and Statistics

Rakennetyyppi: Opintojakso
Koodi: TIP0607
Tyyppi: Pakollinen
OPS: IB 2015 / 2016 / 2017 / 2018 / 2019 / 2020 / 2021 / 2022 / 2023 / 2024
Taso: Tradenomi (AMK)
Opiskeluvuosi: 2 (2016-2017 / 2017-2018 / 2018-2019 / 2019-2020 / 2020-2021 / 2021-2022 / 2022-2023 / 2023-2024 / 2024-2025 / 2025-2026)
Laajuus: 3 op
Vastuuopettaja: Siegfrids, Kerstin
Opetuskieli: Englanti

Toteutukset

Tot.Ryhmä(t)OpiskeluaikaOpettaja(t)KieliIlmoittautuminen
1T-IB-3-19.1.2017 – 29.4.2017Kerstin SiegfridsEnglanti12.12.2016 – 16.1.2017
2T-IB-3-29.1.2017 – 29.4.2017Kerstin SiegfridsEnglanti12.12.2016 – 16.1.2017
3T-IB-3-18.1.2018 – 27.4.2018Kerstin SiegfridsEnglanti11.12.2017 – 15.1.2018
4T-IB-3-28.1.2018 – 27.4.2018Kerstin SiegfridsEnglanti11.12.2017 – 15.1.2018
5T-IB-3-17.1.2019 – 26.5.2019Kerstin SiegfridsEnglanti10.12.2018 – 14.1.2019
6T-IB-3-27.1.2019 – 26.5.2019Kerstin SiegfridsEnglanti10.12.2018 – 14.1.2019
7T-IB-2-16.1.2020 – 24.5.2020Kerstin SiegfridsEnglanti16.12.2019 – 14.1.2020
8T-IB-2-26.1.2020 – 24.5.2020Kerstin SiegfridsEnglanti16.12.2019 – 14.1.2020
3001IB2019-2A4.1.2021 – 2.5.2021Kerstin SiegfridsEnglanti17.8.2020 – 10.1.2021
3002IB2019-2B4.1.2021 – 2.5.2021Kerstin SiegfridsEnglanti17.8.2020 – 10.1.2021
3003IB2020-2A3.1.2022 – 1.5.2022Kerstin SiegfridsEnglanti1.12.2021 – 10.1.2022
3004IB2020-2B3.1.2022 – 1.5.2022Kerstin SiegfridsEnglanti1.12.2021 – 10.1.2022
3005IB2021-2A2.1.2023 – 30.4.2023Kerstin SiegfridsEnglanti1.12.2022 – 10.1.2023
3006IB2021-2B22.8.2022 – 18.12.2022Kerstin SiegfridsEnglanti1.12.2022 – 10.1.2023
3007IB2022-2A1.1.2024 – 28.4.2024Kerstin SiegfridsEnglanti7.12.2023 – 8.1.2024
3008IB2022-2B21.8.2023 – 24.12.2023Kerstin SiegfridsEnglanti1.8.2023 – 6.9.2023
3010IB2023-2A, IB2023-2B19.8.2024 – 22.12.2024Kerstin SiegfridsEnglanti1.8.2024 – 6.9.2024

Alla oleva kuvaus koskee lukuvuotta: 2024-2025

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.


Takaisin