EBS Doctoral Summer School 2013
A full programme of this year's course programme, taught during the Doctoral Summer School from 17.6. - 12.7.2013, can be viewed here:
The course programme consists of a variety of courses, which evolves every year, depending on demand and feedback from the students. The teaching language is English. Courses are offered as block-seminars, but are not taking place on weekends. The attandance in courses from other doctoral programmes (e.g. EDEN seminars and workshops being organized by EIASM (www.eiasm.be) or courses of ebs partner universities is encouraged. Credits can be awarded by formal request from the Doctorates Committee.
A Crash Course in Empirical Theory:
In a first part of this crash course we will concentrate on general questions from the theory and philosophy of science, e. g. "types of scientific explanation", "confirmation of hypotheses", "the nature of scientific theories" or "progress in science". A minor second part analyses specific questions from current debates in the sciences. In keeping with the general aim of the course, i. e. investigate universal structures in science and to supply additional educational background, we deliberately choose examples mostly from outside economics. The resulting distance to the usual professional or research-topics of the participants serves to illuminate structural characteristics of the cases discussed.
Academic Wrtiting & Publishing:
In this class we comprehensively discuss issues of scholarly writing, including the writing process and the structure of empirical (deductive) manuscripts. We address issues regarding methodology from a journal reviewer's perspective, discuss the review process, and examine the publication process based on a recent example. The ultimate goal is to improve your scholarly work.
Methodical Courses taught in this academic year are:
- Microeconometrics of Financial Institutions
- Structural Equation Modeling
- Qualitative Research Methods
- Survey Design & Measurement in Social Science
- Experimental Design and Analysis
- Introduction to Econometrics
- Panel Data Econometrics
- Time Series Analysis