240072 UE MM1 - Methods of Quantitative Research in Development Studies (2019W)
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 Fr 20.09.2019 09:00 to We 02.10.2019 08:00
- Deregistration possible until Th 31.10.2019 23:59
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