Master Seminar in Applied Economics (R-Module)
Exam number: 6837
Semester: from 1st semester
Duration of the module: One semester
Form of the module (i.e. obligatory, elective etc.): Elective
Frequency of module offer: Every semester
Prerequisites: Prior knowledge in statistics or programming can be beneficil.
Applicability of module for other study programmes:
Obligatory or elective in other study programmes. For further information check regulations of the study programme.
Person responsible for module: Prof. Ingo Geishecker, PhD
Name of the professor: Prof. Ingo Geishecker, PhD Marco Kühne, M. Sc.
Language of teaching: English
ECTS-Credits (based on the workload): 6
Workload and its composition (self-study, contact time):
Contact time (lecture, tutorials, seminar etc.) 30 h; self-study: 150 h
Contact hours (per week in semester): 2
Methods and duration of examination:
Emphasis of the grade for the final grade: Please check regulations of the study programme
Aim of the module (expected learning outcomes and competencies to be acquired):
- How to do data analysis (data management, data manipulation, data visualization)
- How to give and get feedback from peer students.
- How to read and write empirical papers.
Contents of the module:
The seminar deals with the empirical analysis of questionnaire data. Students are given the opportunity to work on empirical projects under intense supervision. We embed our empirical projects in a seminar paper.
Teaching and learning methods:
Lectures in data analysis (data management and manipulation) and academic writing (development of scientifc question, literature search and citation rules).
Special features (e.g. percentage of online-work, practice, guest speaker, etc.):
Check out our seminar homepage http://seminars-in-applied-economics.de/
Literature (compulsory reading, recommended literature):
Topics are allocated by preference in the first week. A corresponding basic literature is provided.
Registration in Moodle Viadrina required.