Universität Wien
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240072 UE MM1 - Methods of Quantitative Research in Development Studies (2019W)

5.00 ECTS (2.00 SWS), SPL 24 - Kultur- und Sozialanthropologie
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).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 14.10. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 28.10. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 11.11. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 25.11. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 09.12. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 13.01. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 27.01. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)

Information

Aims, contents and method of the course

This is an introduction to applied statistics. The main goal of the course is for students to develop the necessary foundations and skills to implement quantitative empirical research independently. Students are required to make "hands-on" applications of the material studied in the course.

Assessment and permitted materials

Students will be marked according to 3 different homeworks (20% each) and a final project (40%). Failure to hand in any of these implies a negative evaluation of the course.

Minimum requirements and assessment criteria

Students must obtain at least 50% of the overall mark in order to pass the course.

Examination topics

There are no exams in the course. The main topics of the course are (1) descriptive statistics, (2) probability, (3) random variables, (4) inference, (5) regression analysis.

Reading list

Association in the course directory

MM1

Last modified: Mo 07.09.2020 15:21