Registration via LPIS
|Tuesday||10/08/19||03:30 PM - 07:30 PM||TC.5.18|
|Tuesday||10/15/19||03:30 PM - 05:30 PM||D4.2.213|
|Friday||10/18/19||02:30 PM - 08:30 PM||D4.2.213|
|Tuesday||10/29/19||03:30 PM - 07:30 PM||TC.5.18|
|Tuesday||11/05/19||03:30 PM - 07:30 PM||TC.5.18|
|Friday||11/08/19||03:30 PM - 07:30 PM||D4.2.213|
|Tuesday||11/12/19||04:00 PM - 08:00 PM||TC.4.01|
|Friday||11/15/19||03:30 PM - 08:30 PM||D4.2.213|
|Tuesday||11/26/19||03:30 PM - 06:30 PM||TC.5.12|
|Friday||11/29/19||03:30 PM - 05:30 PM||TC.4.02|
|Tuesday||12/03/19||03:30 PM - 06:30 PM||EA.5.040|
|Friday||12/06/19||03:30 PM - 05:30 PM||TC.4.13|
|Tuesday||12/10/19||03:30 PM - 06:30 PM||TC.4.17|
|Friday||12/13/19||03:30 PM - 05:30 PM||TC.3.11|
|Tuesday||12/17/19||03:30 PM - 06:30 PM||D5.1.002|
|Friday||12/20/19||03:30 PM - 05:30 PM||TC.3.10|
|Tuesday||01/07/20||03:30 PM - 06:30 PM||TC.3.10|
|Friday||01/10/20||03:30 PM - 05:30 PM||TC.5.12|
|Friday||01/31/20||02:00 PM - 04:30 PM||D4.0.019|
The course provides a comprehensive overview about research in inequality and research methods applied. Students will acquire skills to critically assess and discuss research articles in this domain, design and carry out empirical analyses using the statistical software R, and receive an introduction into survey methodology.
The course consists of four blocks:
- Introduction to programming with R
- Survey Methodology
- Topics in Inequality Research
After block 3, there will be an essay exam where students will critically assess a proposed research design and come up with suggestions how to improve it.
A good command of using the statistical software R to perform empirical analyses using survey data
A good understanding of the advantage and disadvantages of survey data for research purposes
A good understanding of current lines of research in the domain of inequality
The ability to understand research articles and critically assess research designs and results
The course mixes lectures, practical sessions where students work with survey data and a statistical software package, as well as student presentations.
Two online R Assignments (10%) - Individual - deadline: 18.10.2019
Two practical R Assignements (20%) - Group - deadlines: 05.11.2019 & 12.11.2019
Survey presentation (10%) - Group - 05.11.2019 & 12.11.2019
Essay Exam (20%) - Individual - 15.11.2019
Student presentation (20%) - Group - 29.11, 6.12., 13.12, 20.12.2019 & 10.01.2019
Five mini-Quizzes (15%) - Individual - 26.11, 3.12, 10.12, 17.12.2019 & 07.01.2019
Participation in class (5%) - Individual
Enrollment is based on the usual ‘first come – first serve’ principle. If you are registered but not able to participate, de-register via LPIS during the registration period so your place is available to students on the waiting list.
Students are required to bring their own laptop (with R or R Studio installed) to all lectures; students can rent a notebook at the Library and Learning Center.
Deadlines are strict; no extensions will be granted.