290097 UE Explorative Analysis of Demographic and Health Data with DHS Data Set (2016W)

4.00 ECTS (2.00 SWS), SPL 29 - Geographie

Continuous assessment of course work

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Tu 06.09.2016 07:00 to Tu 20.09.2016 22:00
Registration is open from Mo 26.09.2016 18:00 to We 28.09.2016 22:00
Deregistration possible until Mo 31.10.2016 22:00

Details

max. 20 participants

Language: English

Lecturers

Marion Borderon

Classes (iCal) - next class is marked with N

    
    Friday
    14.10.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    21.10.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    28.10.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    04.11.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    11.11.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    18.11.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    02.12.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    09.12.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    16.12.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    13.01.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    20.01.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33
    
    Friday
    27.01.
    08:45 - 10:15
    Class Room 4 ZID  UniCampus Hof 7 Eingang 7.1 2H-O1-33

Information

Aims, contents and method of the course

The ability to work with and present numerical data is often crucial in Social Sciences, both to understand the complexity of the world and communicate research findings. Today the range of techniques available to geographers gives great scope for dealing with data and exploring in a quantitative manner their research area.
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.

Assessment and permitted materials

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%).

Minimum requirements and assessment criteria

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

Examination topics

Active participation to the classroom practice
Writing a short report

Reading list

Reading such as handbooks or online tutorials will be announced in the course.

Association in the course directory

(MG-S4-PI.m) (MG-W5-PI) (MR1-a-PI) (L2-FW) (D5)

Last modified: Mo 07.09.2020 15:42