Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

240090 UE MM1 - Methods of Quantitative Research in Development Studies (2022W)

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

MEETING OF OCTOBER 10TH CANCELLED.

  • Monday 10.10. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 17.10. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 24.10. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 31.10. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 07.11. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 14.11. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Friday 18.11. 09:45 - 11:15 Seminarraum 8, Kolingasse 14-16, OG01
  • Monday 21.11. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 28.11. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 05.12. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 12.12. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 09.01. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 16.01. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 23.01. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01
  • Monday 30.01. 08:00 - 09:30 Seminarraum 7, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

This course 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 graded 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 should prove a good command (at least 50%) of the course’s topics. 50% - 60% implies a 4; 60% - 70% a 3; 70% - 85% a 2; above 80% a 1. Failure to hand in any of the homeworks implies a negative evaluation of the course.

Examination topics

There are no exams. The course’s main topics are descriptive statistics, probability, random variables, inference, regression analysis.

Reading list

The course has been prepared with two textbooks:

Newbold, Carlson and Thorne (2013): Statistics for Business and Economics, Pearson, 8th edition, (NCT)

Shafer and Zhang (2012): Beginning Statistics (legally available online for free), (SZ)

Other introductory statistics textbooks are likely to provide very similar treatments.

Association in the course directory

MM1

Last modified: Tu 08.11.2022 09:08