Colloquium Master Thesis
Niveau
Second cycle, master's
Learning outcomes of the courses/module
The participants:
• are able to independently analyze, interpret and critically reflect on data using a self-selected academic methodology.
• can present results in a comprehensible manner and in accordance with academic standards within the framework of the master's thesis.
• are able to develop and actively refine arguments and solutions to problems.
• are able to present and defend the results of the master's thesis.
• are able to independently analyze, interpret and critically reflect on data using a self-selected academic methodology.
• can present results in a comprehensible manner and in accordance with academic standards within the framework of the master's thesis.
• are able to develop and actively refine arguments and solutions to problems.
• are able to present and defend the results of the master's thesis.
Prerequisites for the course
Content from all courses with cross-links to the topic of the master's thesis across the entire program, in particular Research Methods I-III, Academic Writing and MA-Camp
Course content
• Deepening knowledge of academic work with regard to developing and implementing a research design and structuring the writing process
• Academic writing with MS Word or LaTeX
• Time-series and/or panel data (as needed)
• Advanced procedures such as the Tobit model or Poisson regression (as needed)
• Regular meetings on the current status and progress of the master's thesis with the accompanying academic supervisor
• Information on the oral master's examination before the committee
• Academic writing with MS Word or LaTeX
• Time-series and/or panel data (as needed)
• Advanced procedures such as the Tobit model or Poisson regression (as needed)
• Regular meetings on the current status and progress of the master's thesis with the accompanying academic supervisor
• Information on the oral master's examination before the committee
Recommended specialist literature
• Wooldridge, Jeffrey: Econometric Analysis of Cross Section and Panel Data. The MIT Press (latest edition)
• Angrist, Joshua; Pischke, Jörn-Steffen: Mastering Metrics: The Path from Cause to Effect. Princeton Univers. Press
• Booth, Wayne; Colomb, Gregory; Williams, Joseph: The craft of research. University of Chicago press (latest edition)
• Sowie Literatur in Abhängigkeit vom gewählten Thema der Masterarbeit und der gewählten Methode
• Angrist, Joshua; Pischke, Jörn-Steffen: Mastering Metrics: The Path from Cause to Effect. Princeton Univers. Press
• Booth, Wayne; Colomb, Gregory; Williams, Joseph: The craft of research. University of Chicago press (latest edition)
• Sowie Literatur in Abhängigkeit vom gewählten Thema der Masterarbeit und der gewählten Methode
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
2
Semester hours per week
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
4