290097 UE Explorative Analysis of Demographic and Health Data with DHS Data Set (2016W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Di 06.09.2016 07:00 bis Di 20.09.2016 22:00
- Anmeldung von Mo 26.09.2016 18:00 bis Mi 28.09.2016 22:00
- Abmeldung bis Mo 31.10.2016 22:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Freitag 14.10. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 21.10. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 28.10. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 04.11. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 11.11. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 18.11. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 02.12. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 09.12. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 16.12. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 13.01. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 20.01. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
- Freitag 27.01. 08:45 - 10:15 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
In addition of intermittent exercises (30%), a short report (~10/15pages) on a specific case study will be written, enables the students to apply concretely what they have learned and update their skills and knowledge in population geography and demography in using DHS data set. The topic and the given country(-ies) may be chosen according to the interests of the student. Working in a group (2-3 people) could be accepted. The report will keep up with the demand and the score should be the same within the group (70%).
Mindestanforderungen und Beurteilungsmaßstab
Prerequisite:
• Basic knowledge of statistics, such as frequency distribution, measure of central tendency (mean, median and mode) and measure of statistical dispersion (variance and standard variation).
• Basic knowledge of SPSS or another statistical software would be an asset
• Basic knowledge of statistics, such as frequency distribution, measure of central tendency (mean, median and mode) and measure of statistical dispersion (variance and standard variation).
• Basic knowledge of SPSS or another statistical software would be an asset
Prüfungsstoff
Active participation to the classroom practice
Writing a short report
Writing a short report
Literatur
Reading such as handbooks or online tutorials will be announced in the course.
Zuordnung im Vorlesungsverzeichnis
(MG-S4-PI.m) (MG-W5-PI) (MR1-a-PI) (L2-FW) (D5)
Letzte Änderung: Do 14.11.2024 00:18
In this context, secondary data [data which have already been collected and which are available for others to use] consist of a central source of information for many projects. Governments, institutions, companies have been collecting data all around the world.
This course gives the opportunity to students to learn more on how to collect, handle and use such data. With a specific focus on the DHS (Demographic and Health Surveys) programm, the students will learn to generate their own dataset and treat them with statistical software. The depth of the spatial exploratory analyses will depend on the progress of the group.
DHS are nationally- representative household surveys that provide data for a wide range of monitoring and impact evaluation indicators in the areas of population, health, and nutrition. DHS data set appears then as the core of quantitative materials to describe and assess population and health issues in over 90 developing countries.
Thus, from surveys to data, an exploration of methods to interpret, use and collect the DHS indicators and data will be given.
After completion of the course, participants would be able to build their own database from the DHS, transforming it into a spatial database and visualizing the results with tables, figures and maps.