Syllabus

Title
5149 Quantitative and Qualitative Methods I
Instructors
PD Mag.Dr. Barbara Haas, Dr. Manuel Scholz-Wäckerle
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
02/06/19 to 02/22/19
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Wednesday 02/27/19 10:00 AM - 12:00 PM D4.0.039
Friday 03/01/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 03/06/19 09:00 AM - 11:00 AM TC.-1.61
Friday 03/08/19 01:00 PM - 03:00 PM LC.2.064 Raiffeisen Kurslabor
Wednesday 03/13/19 09:00 AM - 11:00 AM TC.-1.61
Friday 03/15/19 01:00 PM - 03:00 PM LC.2.064 Raiffeisen Kurslabor
Wednesday 03/20/19 09:00 AM - 11:00 AM D2.-1.019 Workstation-Raum
Friday 03/22/19 01:00 PM - 03:00 PM LC.-1.038
Wednesday 03/27/19 10:00 AM - 12:00 PM D3.0.218
Friday 03/29/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 04/03/19 10:00 AM - 12:00 PM D3.0.218
Friday 04/05/19 01:00 PM - 03:00 PM D4.0.127
Wednesday 04/10/19 10:00 AM - 12:00 PM D3.0.218
Friday 04/12/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 05/08/19 10:00 AM - 12:00 PM D3.0.218
Friday 05/10/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 05/15/19 10:00 AM - 12:00 PM D3.0.218
Friday 05/17/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 05/22/19 10:00 AM - 12:00 PM D3.0.218
Friday 05/24/19 01:00 PM - 03:00 PM D4.0.039
Wednesday 06/05/19 10:00 AM - 12:00 PM D3.0.218
Wednesday 06/12/19 10:00 AM - 12:00 PM D3.0.218
Wednesday 06/19/19 10:00 AM - 12:00 PM D4.0.039
Wednesday 06/26/19 09:00 AM - 01:00 PM D4.0.039
Contents

This course on qualitative and quantitative research methods will provide a general introduction about 1) methodological underpinnings of research methods 2) research designs 3) different forms of methods 3) field analysis 4) modelling and simulation and finally about 5) the combination of quantitative and qualitative approaches. The course focuses on differences and similarities in both methods. Moreover, we discuss quality assessment and possibilities of potential synthesis among different approaches in a fruitful manner.

On the one hand, students will get introduced into contemporary discourses on methods by carrying out and presenting literature reviews. On the other hand, they will experiment with some basic examples from field analysis and modelling/simulation (Computational Social Science), thereby building foundational knowledge for a further applied deepening in the winter term.

Learning outcomes

After successful completion of this introduction, studentswill be able to:

  • understand different research methods and strategies

  • know how to draft various tools for empirical analysis

  • differentiate between a variety of top-down and bottom-upmodelling techniques in economics

  • acquire basic programming skills for agent-based modelling

  • work with a simulation tool-kit and generate computationalexperiments with given models

  • write a criticalreflection on quantitative and qualitative methods

Attendance requirements

80% attendance of the class is required! If you miss a class, please inform us in advance!

Teaching/learning method(s)

prepare the literature for discussions in class

  • actively participate in assignments in class (hands-onexercises)

  • analyse + interpret given models and simulations

  • conduct simulation experiments with given models

  • basic hands-on programming exercises

  • submit an individual seminar paper

80% attendance of theclass is required! If you miss a class, please inform us in advance!

Assessment

Grading:

  • Class participation (30%)

  • Oral presentation (30%)

  • Individual seminar paper reflecting on different methods (40%)

Last edited: 2019-03-01



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