Warning! The directory is not yet complete and will be amended until the beginning of the term.
290035 UE Population Geography (2020S)
Continuous assessment of course work
Labels
Summary
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 Mo 10.02.2020 08:00 to Su 23.02.2020 23:59
- Deregistration possible until Th 30.04.2020 23:59
Registration information is available for each group.
Groups
Group 1
max. 30 participants
Language: German
LMS: Moodle
Lecturers
Classes
Learning materials willl be found in the Moodle course
Group 2
max. 30 participants
Language: German
LMS: Moodle
Lecturers
Classes
Learning materials willl be found in the Moodle course
Information
Aims, contents and method of the course
Assessment and permitted materials
UPDATE: Due to the Covid19-situation, the final exam will be held as take home exam (24hrs)Attendance is compulsory. Excercise will be assigned. Some of the excercises will be checked on with a Moodle Test. Within the last meeting there will be a practical exam (mainly excercise with Excel).
Minimum requirements and assessment criteria
(i) Regular attendance and session preparation (10%)
(ii) Positive assessment of excercises + Multiple Choice test (35%)
(iii) Final exam (55%)
(ii) Positive assessment of excercises + Multiple Choice test (35%)
(iii) Final exam (55%)
Examination topics
Indices of population Geography, working with data in Excel and interpretation of results
Reading list
Ein digitales Skript steht zur Verfügung.
Weitere Literatur siehe Moodle-Kurs
Weitere Literatur siehe Moodle-Kurs
Association in the course directory
(BA GG 3.1)
Last modified: Mo 25.05.2020 10:29
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.The data will be used to understand, reproduce and interpret the quantitative analyses of population assessment. The analyses will be carried out with the Excel program.