140328 UE MM1 - Methods of Quantitative Research (2018S)
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 Mo 19.02.2018 10:00 to Tu 27.02.2018 10:00
- Registration is open from Tu 27.02.2018 18:00 to Fr 02.03.2018 09:00
- Deregistration possible until Sa 31.03.2018 23:59
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