Zachodniopomorski Uniwersytet Technologiczny w Szczecinie

Administracja Centralna Uczelni - Wymiana międzynarodowa (S2)

Sylabus przedmiotu Public statistics in social studies – international databases and tools:

Informacje podstawowe

Kierunek studiów Wymiana międzynarodowa
Forma studiów studia stacjonarne Poziom drugiego stopnia
Tytuł zawodowy absolwenta
Obszary studiów
Profil
Moduł
Przedmiot Public statistics in social studies – international databases and tools
Specjalność przedmiot wspólny
Jednostka prowadząca Katedra Studiów Regionalnych i Europejskich
Nauczyciel odpowiedzialny Katarzyna Cheba <Katarzyna.Cheba@zut.edu.pl>
Inni nauczyciele
ECTS (planowane) 6,0 ECTS (formy) 6,0
Forma zaliczenia zaliczenie Język angielski
Blok obieralny Grupa obieralna

Formy dydaktyczne

Forma dydaktycznaKODSemestrGodzinyECTSWagaZaliczenie
laboratoriaL1 30 3,00,50zaliczenie
wykładyW1 30 3,00,50zaliczenie

Wymagania wstępne

KODWymaganie wstępne
W-1Basic mathemtics, statistics and economics

Cele przedmiotu

KODCel modułu/przedmiotu
C-1Gain knowledge of working with international databases and the main techniques used to analyse data extracted from the international databases: EUROSTAT, Worl Bank, European Patent Office, Web of Science and others.

Treści programowe z podziałem na formy zajęć

KODTreść programowaGodziny
laboratoria
T-L-1Conceptualisation of the research problem, selection of data sources, data collection methods and data analysis methods4
T-L-2Designing research experiments using data from international databases16
T-L-3Application of selected qualitative methods in onw research4
T-L-4Application of selected quantitative methods in onw research4
T-L-5Visualisation of research results2
30
wykłady
T-W-1Public statistics and existing international data source in social studies2
T-W-2Methods of data collection in official statistics4
T-W-3International database: Eurostat2
T-W-4International database: European Patent Office2
T-W-5International database: Web of Science2
T-W-6International database: World Bank DataBank2
T-W-7International database: United Nations Development Programme2
T-W-8Survey design: basic information2
T-W-9Survey design: data selection and missing data2
T-W-10Data analysis with qualitative methods4
T-W-11Data analysis with quantitive methods4
T-W-12Visualisation of results2
30

Obciążenie pracą studenta - formy aktywności

KODForma aktywnościGodziny
laboratoria
A-L-1Participation in classes30
A-L-2Design of own research experiment20
A-L-3Preparation of presentation15
A-L-4Literature overview10
75
wykłady
A-W-1Participation in classes30
A-W-2Own work (reading literature)15
A-W-3Preparation for assessment20
A-W-4Consultation for the lecture10
75

Metody nauczania / narzędzia dydaktyczne

KODMetoda nauczania / narzędzie dydaktyczne
M-1Classes will be conducted in lecture and discussion format promoting extensive student participation with case studies.

Sposoby oceny

KODSposób oceny
S-1Ocena formująca: During the course students activity and at the abilility to apply their knowledge in relation to the case shall be assessed.
S-2Ocena podsumowująca: A reserch project using the impelmented methods in the form of double groups.
S-3Ocena podsumowująca: Writtenn test.

Zamierzone efekty uczenia się - wiedza

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WEKON_2-_PSSS_W01
Student will gain basis knowledge about use of international databases and selected quantitative and qualitative methods in analysis of economic phenomena and applications of this knowledge in practice.
C-1T-W-1, T-W-2, T-W-3, T-W-4, T-W-5, T-W-6, T-W-7, T-W-8, T-W-9, T-W-10, T-W-11, T-W-12M-1S-1, S-3

Zamierzone efekty uczenia się - umiejętności

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WEKON_2-_PSSS_U01
The student is able to extract data from international databases and to prepare the own experiment with applications of selected quantitative and qualitative methods.
C-1T-L-1, T-L-2, T-L-3, T-L-4, T-L-5M-1S-1, S-2, S-3

Zamierzone efekty uczenia się - inne kompetencje społeczne i personalne

Zamierzone efekty uczenia sięOdniesienie do efektów kształcenia dla kierunku studiówOdniesienie do efektów zdefiniowanych dla obszaru kształceniaCel przedmiotuTreści programoweMetody nauczaniaSposób oceny
WM-WEKON_2-_PSSS_K01
Students work in a team analyzing various data source; working in group student is open to participating in preparation project based on data extracted from international databases.
C-1T-L-1, T-L-2, T-L-3, T-L-4, T-L-5M-1S-1, S-2, S-3

Kryterium oceny - wiedza

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_2-_PSSS_W01
Student will gain basis knowledge about use of international databases and selected quantitative and qualitative methods in analysis of economic phenomena and applications of this knowledge in practice.
2,0
3,0Student correctly describes the main terms conected with public statistics.
3,5
4,0
4,5
5,0

Kryterium oceny - umiejętności

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_2-_PSSS_U01
The student is able to extract data from international databases and to prepare the own experiment with applications of selected quantitative and qualitative methods.
2,0
3,0Students can prepare a report in accordance with EU guidelines and choose the right one assessment methods.
3,5
4,0
4,5
5,0

Kryterium oceny - inne kompetencje społeczne i personalne

Efekt uczenia sięOcenaKryterium oceny
WM-WEKON_2-_PSSS_K01
Students work in a team analyzing various data source; working in group student is open to participating in preparation project based on data extracted from international databases.
2,0
3,0- Student works in a team analyzing various implementation evaluation problems EU projects and programs - Working in a group, he is open to participating in preparation report based on international databases.
3,5
4,0
4,5
5,0

Literatura podstawowa

  1. Anderson D.R, Sweeney D.J., Wiliams T.A., Statistics for Business and Economics, South-Western Cengage Learning, 2019
  2. Henk F. Moed, Wolfgang Glänzel, Ulrich Schmoch (edt), Handbook of quantitative science and technology research: The use of publication and patent statistics in studies of S&T systems, Springer, 2005

Literatura dodatkowa

  1. Meier, K. J., & Brudney, J. L., Applied statistics for public administration, Harcourt Press, 2002

Treści programowe - laboratoria

KODTreść programowaGodziny
T-L-1Conceptualisation of the research problem, selection of data sources, data collection methods and data analysis methods4
T-L-2Designing research experiments using data from international databases16
T-L-3Application of selected qualitative methods in onw research4
T-L-4Application of selected quantitative methods in onw research4
T-L-5Visualisation of research results2
30

Treści programowe - wykłady

KODTreść programowaGodziny
T-W-1Public statistics and existing international data source in social studies2
T-W-2Methods of data collection in official statistics4
T-W-3International database: Eurostat2
T-W-4International database: European Patent Office2
T-W-5International database: Web of Science2
T-W-6International database: World Bank DataBank2
T-W-7International database: United Nations Development Programme2
T-W-8Survey design: basic information2
T-W-9Survey design: data selection and missing data2
T-W-10Data analysis with qualitative methods4
T-W-11Data analysis with quantitive methods4
T-W-12Visualisation of results2
30

Formy aktywności - laboratoria

KODForma aktywnościGodziny
A-L-1Participation in classes30
A-L-2Design of own research experiment20
A-L-3Preparation of presentation15
A-L-4Literature overview10
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta

Formy aktywności - wykłady

KODForma aktywnościGodziny
A-W-1Participation in classes30
A-W-2Own work (reading literature)15
A-W-3Preparation for assessment20
A-W-4Consultation for the lecture10
75
(*) 1 punkt ECTS, odpowiada około 30 godzinom aktywności studenta
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_2-_PSSS_W01Student will gain basis knowledge about use of international databases and selected quantitative and qualitative methods in analysis of economic phenomena and applications of this knowledge in practice.
Cel przedmiotuC-1Gain knowledge of working with international databases and the main techniques used to analyse data extracted from the international databases: EUROSTAT, Worl Bank, European Patent Office, Web of Science and others.
Treści programoweT-W-1Public statistics and existing international data source in social studies
T-W-2Methods of data collection in official statistics
T-W-3International database: Eurostat
T-W-4International database: European Patent Office
T-W-5International database: Web of Science
T-W-6International database: World Bank DataBank
T-W-7International database: United Nations Development Programme
T-W-8Survey design: basic information
T-W-9Survey design: data selection and missing data
T-W-10Data analysis with qualitative methods
T-W-11Data analysis with quantitive methods
T-W-12Visualisation of results
Metody nauczaniaM-1Classes will be conducted in lecture and discussion format promoting extensive student participation with case studies.
Sposób ocenyS-1Ocena formująca: During the course students activity and at the abilility to apply their knowledge in relation to the case shall be assessed.
S-3Ocena podsumowująca: Writtenn test.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Student correctly describes the main terms conected with public statistics.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_2-_PSSS_U01The student is able to extract data from international databases and to prepare the own experiment with applications of selected quantitative and qualitative methods.
Cel przedmiotuC-1Gain knowledge of working with international databases and the main techniques used to analyse data extracted from the international databases: EUROSTAT, Worl Bank, European Patent Office, Web of Science and others.
Treści programoweT-L-1Conceptualisation of the research problem, selection of data sources, data collection methods and data analysis methods
T-L-2Designing research experiments using data from international databases
T-L-3Application of selected qualitative methods in onw research
T-L-4Application of selected quantitative methods in onw research
T-L-5Visualisation of research results
Metody nauczaniaM-1Classes will be conducted in lecture and discussion format promoting extensive student participation with case studies.
Sposób ocenyS-1Ocena formująca: During the course students activity and at the abilility to apply their knowledge in relation to the case shall be assessed.
S-2Ocena podsumowująca: A reserch project using the impelmented methods in the form of double groups.
S-3Ocena podsumowująca: Writtenn test.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0Students can prepare a report in accordance with EU guidelines and choose the right one assessment methods.
3,5
4,0
4,5
5,0
PoleKODZnaczenie kodu
Zamierzone efekty uczenia sięWM-WEKON_2-_PSSS_K01Students work in a team analyzing various data source; working in group student is open to participating in preparation project based on data extracted from international databases.
Cel przedmiotuC-1Gain knowledge of working with international databases and the main techniques used to analyse data extracted from the international databases: EUROSTAT, Worl Bank, European Patent Office, Web of Science and others.
Treści programoweT-L-1Conceptualisation of the research problem, selection of data sources, data collection methods and data analysis methods
T-L-2Designing research experiments using data from international databases
T-L-3Application of selected qualitative methods in onw research
T-L-4Application of selected quantitative methods in onw research
T-L-5Visualisation of research results
Metody nauczaniaM-1Classes will be conducted in lecture and discussion format promoting extensive student participation with case studies.
Sposób ocenyS-1Ocena formująca: During the course students activity and at the abilility to apply their knowledge in relation to the case shall be assessed.
S-2Ocena podsumowująca: A reserch project using the impelmented methods in the form of double groups.
S-3Ocena podsumowująca: Writtenn test.
Kryteria ocenyOcenaKryterium oceny
2,0
3,0- Student works in a team analyzing various implementation evaluation problems EU projects and programs - Working in a group, he is open to participating in preparation report based on international databases.
3,5
4,0
4,5
5,0