140349 UE MM1 - Methods of Quantitative Research (2016S)
5.00 ECTS (2.00 SWS), SPL 14 - Orientalistik, Afrikawissenschaften, Südasien-, Tibet- und Buddhismusk
Continuous assessment of course work
Labels
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 We 17.02.2016 10:00 to We 24.02.2016 10:00
- Registration is open from Th 25.02.2016 10:00 to Tu 01.03.2016 10:00
- Deregistration possible until Th 31.03.2016 23:59
Details
max. 40 participants
Language: German, English
Lecturers
Classes (iCal) - next class is marked with N
March 10th, April 7th, April 21st, MAy 12th, June 2nd, June 16th 2-6 pm
June 30th: 4-6 pm
- Thursday 10.03. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 07.04. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 21.04. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 19.05. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 02.06. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 16.06. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
- Thursday 30.06. 14:00 - 18:00 Seminarraum SG2 Internationale Entwicklung, Sensengasse 3, Bauteil 1
Information
Aims, contents and method of the course
Assessment and permitted materials
5 homework assignements, project paper, active participation, short presentations, test
Minimum requirements and assessment criteria
Examination topics
Reading list
Course reader
Association in the course directory
MM1
Last modified: Fr 03.10.2025 00:15
- macroeconomic data
- analysis of data
based on simple excel tools
- design of questionnairesIn addition to working with data, texts and case studies that apply quantitative data will be discussed.There will be a mix of lecture elements, working in small groups and independent study.The aim of this course is primarily to encourage the use of quanititative methods and allow to practise data collection, data analysis and data interpretation.