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Methods of Secondary Data Analysis on Society and Environment

Informacje ogólne

Kod przedmiotu: WB.INS-9 Kod Erasmus / ISCED: (brak danych) / (0511) Biologia
Nazwa przedmiotu: Methods of Secondary Data Analysis on Society and Environment
Jednostka: Instytut Nauk o Środowisku
Grupy: Przedmioty w języku angielskim dla studentów Erasmus+ na Wydziale BiNoZ
Punkty ECTS i inne: 3.00
Język prowadzenia: angielski

Zajęcia w cyklu "Semestr letni 2016/2017" (zakończony)

Okres: 2017-02-25 - 2017-06-14
Wybrany podział planu:


powiększ
zobacz plan zajęć
Typ zajęć: Ćwiczenia, 30 godzin więcej informacji
Wykład, 10 godzin więcej informacji
Koordynatorzy: Małgorzata Grodzińska-Jurczak
Prowadzący grup: Małgorzata Grodzińska-Jurczak, Justyna Gutowska
Lista studentów: (nie masz dostępu)
Zaliczenie: Egzamin
Efekty kształcenia:

(tylko po angielsku) Aims: Practical usage of environmental and social data. Student uses various sources of secondary data (Polish and international) on natural environment, society and economy. Student knows rules of using and analysing secondary data, can conduct analysis and reflect on quality of secondary data.


Knowledge: Student knows basic / most frequenstly used sourses of secondary data on natural environment, economy and society (both international and Polish). Student knows rules and restriction of secondary data analysis and use of various data sources.


Skills: Student can plan and conduct analysis of secondary data. Student can apply various statistical and qualitative technics in data analysis. Student can reflect on quality of secondary data and reliability of data sources. Student can interpret and describe results of analysis in report, in English. Student can present the results in multimedia presentation in English.


Attitudes: Student is aware of importance of access to data, knowledge and results of scientific studies for designing effective environmental conservation programs. Student is aware of importance and role of scientific honesty, data reliability, intellectual property rights and rules of access to data and scientific information.


Wymagania wstępne:

(tylko po angielsku) n/a

Forma i warunki zaliczenia:

(tylko po angielsku) Reports and oral presentation.

Metody sprawdzania i kryteria oceny efektów kształcenia uzyskanych przez studentów:

(tylko po angielsku) Grading based on group presentation and reports

Metody dydaktyczne:

(tylko po angielsku) Lectures and classes in computer lab, various traditional and multimedia teaching materials.

Bilans punktów ECTS:

(tylko po angielsku) Lectures: 10 hrs

Practical classes: 30 hrs

Individual consultations: 2hrs


3 ECTS

Pełny opis:

The course in an introduction to the use of data from social research for environmental science students. It explains how data about society is relevant for solving problems in environmental conservation. Practical usage of both social and environmental data for solving environmental problems is the core part of the course. Students will learn about various sources of secondary (publicly available) data on society and environment and use them to solve practical tasks. Students will also learn about the basics of social research methodology that is important in order to use social data properly (without mistakes). Rules and restriction of secondary data analysis and use of various data sources is also discussed in this course.

Selected concepts of interactions between society and environment that are useful in solving conservation problems and analysis of social and environmental data will be presented. Several tasks for students will be built on the concepts of ecosystem services and their valuation, theories and concepts in human development, and new ideas in measuring human wellbeing and ecological footprint. Various teaching materials will be used in this part – scientific articles and handbooks, policy reports and methodological publications of statistical offices, infographics (including tools for building one’s own) and videos from TEDx presentation.

During practical classes in the computer lab, students will solve short tasks requiring the use of various data sources. In a group work, they will then develop a new research problem and conduct their own analysis based on selected data. Students will explore various international data sources, such as UN and OECD statistics, EUROSTAT, European Environmental Agency data and reports, national domestic statistics (Central Statistical Office), social surveys (WWV, Eurobarometer, ESS, Social Diagnosis), as well as other sources of scientific information.

Literatura:

Example literature:

Bennett N. J. Roth R. (eds.) 2015. The Conservation Social Sciences: What?, How? and Why? Vancouver, BC: Canadian Wildlife Federation and Institute for Resources, Environment and Sustainability, University of British Columbia http://nathanbennett.ca/2014/12/19/new-report-the-conservation-social-sciences-what-how-and-why/

Boslaugh S. Secondary Data Sources for Public Health: A Practical Guide. Cambridge University Press.

Costanza R., Kubiszewski I., et al. 2014. Time to leave GDP behind. Nature 505: 283-285.

Moon K., Blackman D. 2014. Guide to Understanding Social Science Research for Natural Scientists. Conservation Biology 28, No. 5, 1167–1177

Mikusiński G., Possingham H., Blicharska M. 2013. Biodiversity priority areas and religions—a global analysis of spatial overlap. Oryx. doi:10.1017/S0030605312000993

Robinson WS. 2009. Ecological Correlations and the Behavior of Individuals. International Journal of Epidemiology 38: 337–341.

The Happy Planet Index: 2012 Report. The global index of sustainable wellbeing. http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf

Uwagi: (tylko po angielsku)

Kurs jest limitowany ze względu na liczbę miejsc do 16 osób (w tym studenci II SUM i doktoranci BiNoZ). Kurs jest obowiązkowy dla studentów SUM Ecology and Evolution, którzy są rejestrowani w pierwszej kolejności, na pozostałe wolne miejsca będzie można rejestrować się w USOSie, natomiast doktoranci proszeni są o zgłaszanie do dr Joanny Cent do 20 lutego 2015 (joanna.cent@uj.edu.pl).

A course comprises 5 lectures (25 February till 25 March, Wednesdays, 10.30-12.00, room 1.1.3) and 10 classes in computer lab (2 March till 11 May, Mondays, 13.00-15.15, room 2.0.4).

Zajęcia w cyklu "Semestr letni 2017/2018" (jeszcze nie rozpoczęty)

Okres: 2018-02-24 - 2018-06-15
Wybrany podział planu:


powiększ
zobacz plan zajęć
Typ zajęć: Ćwiczenia, 30 godzin więcej informacji
Wykład, 10 godzin więcej informacji
Koordynatorzy: Joanna Cent
Prowadzący grup: Joanna Cent, Małgorzata Grodzińska-Jurczak, Justyna Gutowska
Lista studentów: (nie masz dostępu)
Zaliczenie: Egzamin
Efekty kształcenia:

(tylko po angielsku) Aims: Practical usage of environmental and social data. Student uses various sources of secondary data (Polish and international) on natural environment, society and economy. Student knows rules of using and analysing secondary data, can conduct analysis and reflect on quality of secondary data.


Knowledge: Student knows basic / most frequenstly used sourses of secondary data on natural environment, economy and society (both international and Polish). Student knows rules and restriction of secondary data analysis and use of various data sources.


Skills: Student can plan and conduct analysis of secondary data. Student can apply various statistical and qualitative technics in data analysis. Student can reflect on quality of secondary data and reliability of data sources. Student can interpret and describe results of analysis in report, in English. Student can present the results in multimedia presentation in English.


Attitudes: Student is aware of importance of access to data, knowledge and results of scientific studies for designing effective environmental conservation programs. Student is aware of importance and role of scientific honesty, data reliability, intellectual property rights and rules of access to data and scientific information.


Wymagania wstępne:

(tylko po angielsku) n/a

Forma i warunki zaliczenia:

(tylko po angielsku) Reports and oral presentation.

Metody sprawdzania i kryteria oceny efektów kształcenia uzyskanych przez studentów:

(tylko po angielsku) Grading based on group presentation and reports

Metody dydaktyczne:

(tylko po angielsku) Lectures and classes in computer lab, various traditional and multimedia teaching materials.

Bilans punktów ECTS:

(tylko po angielsku) Lectures: 10 hrs

Practical classes: 30 hrs

Individual consultations: 2hrs


3 ECTS

Pełny opis:

The course in an introduction to the use of data from social research for environmental science students. It explains how data about society is relevant for solving problems in environmental conservation. Practical usage of both social and environmental data for solving environmental problems is the core part of the course. Students will learn about various sources of secondary (publicly available) data on society and environment and use them to solve practical tasks. Students will also learn about the basics of social research methodology that is important in order to use social data properly (without mistakes). Rules and restriction of secondary data analysis and use of various data sources is also discussed in this course.

Selected concepts of interactions between society and environment that are useful in solving conservation problems and analysis of social and environmental data will be presented. Several tasks for students will be built on the concepts of ecosystem services and their valuation, theories and concepts in human development, and new ideas in measuring human wellbeing and ecological footprint. Various teaching materials will be used in this part – scientific articles and handbooks, policy reports and methodological publications of statistical offices, infographics (including tools for building one’s own) and videos from TEDx presentation.

During practical classes in the computer lab, students will solve short tasks requiring the use of various data sources. In a group work, they will then develop a new research problem and conduct their own analysis based on selected data. Students will explore various international data sources, such as UN and OECD statistics, EUROSTAT, European Environmental Agency data and reports, national domestic statistics (Central Statistical Office), social surveys (WWV, Eurobarometer, ESS, Social Diagnosis), as well as other sources of scientific information.

Literatura:

Example literature:

Bennett N. J. Roth R. (eds.) 2015. The Conservation Social Sciences: What?, How? and Why? Vancouver, BC: Canadian Wildlife Federation and Institute for Resources, Environment and Sustainability, University of British Columbia http://nathanbennett.ca/2014/12/19/new-report-the-conservation-social-sciences-what-how-and-why/

Boslaugh S. Secondary Data Sources for Public Health: A Practical Guide. Cambridge University Press.

Costanza R., Kubiszewski I., et al. 2014. Time to leave GDP behind. Nature 505: 283-285.

Moon K., Blackman D. 2014. Guide to Understanding Social Science Research for Natural Scientists. Conservation Biology 28, No. 5, 1167–1177

Mikusiński G., Possingham H., Blicharska M. 2013. Biodiversity priority areas and religions—a global analysis of spatial overlap. Oryx. doi:10.1017/S0030605312000993

Robinson WS. 2009. Ecological Correlations and the Behavior of Individuals. International Journal of Epidemiology 38: 337–341.

The Happy Planet Index: 2012 Report. The global index of sustainable wellbeing. http://www.happyplanetindex.org/assets/happy-planet-index-report.pdf

Uwagi: (tylko po angielsku)

Kurs jest limitowany ze względu na liczbę miejsc do 16 osób (w tym studenci II SUM i doktoranci BiNoZ). Kurs jest obowiązkowy dla studentów SUM Ecology and Evolution, którzy są rejestrowani w pierwszej kolejności, na pozostałe wolne miejsca będzie można rejestrować się w USOSie, natomiast doktoranci proszeni są o zgłaszanie do dr Joanny Cent do 20 lutego 2015 (joanna.cent@uj.edu.pl).

A course comprises 5 lectures (25 February till 25 March, Wednesdays, 10.30-12.00, room 1.1.3) and 10 classes in computer lab (2 March till 11 May, Mondays, 13.00-15.15, room 2.0.4).

Opisy przedmiotów w USOS i USOSweb są chronione prawem autorskim.
Właścicielem praw autorskich jest Uniwersytet Jagielloński w Krakowie.