Universität Wien

140328 UE MM1 - Methods of Quantitative Research (2018S)

Continuous assessment of course work

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. 40 participants
Language: German, English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 05.03. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 19.03. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 16.04. 09:00 - 11:55 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 30.04. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 14.05. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 04.06. 09:00 - 12:00 (ehem. Seminarraum Internationale Entwicklung Afrikawissenschaften UniCampus Hof 5 2Q-EG-05)
  • Monday 18.06. 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 many "hands-on" applications of the material studied in the course. Main topics of the course are (1) descriptive statistics (2) probability (3) random variables (4) inference (5) regression analysis.

Assessment and permitted materials

Students will be marked according to 3 different homeworks (20% each) and a final project (40%). All are required.

Minimum requirements and assessment criteria

Students should prove a good command of all the course's topics.

Examination topics

Descriptive statistics, probability, random variables, inference, regression analysis.

Reading list

Any introduction to statistics.

Association in the course directory

MM1

Last modified: Mo 07.09.2020 15:35