This course is part of the
module "Wissenschaftliche Methoden/Research Methods" offered for
Bachelor students in the programs Betriebswirtschaft or International
Management as well as for ERASMUS students. All topics for the
seminar papers and the specific scientific methods taught will be from
the field of finance, more specifically we will cover the technical
analysis of capital market data. Course language will be English.
Course Objective: Students
will get acquainted with basic research methods. They will be able to
to write scientific papers on their own. In addition to formal
requirements (citation techniques, style and structure of a seminar
paper or a case study, use of tools like Citavi) students will acquire
in-depth knowledge of scientific methods applied in finance. With these
methods, they will be able to research, analyze and critically discuss a
specific topic on their own in a scientific paper written in LaTeX, to
prepare a professional presentation for
the group and defend their results in a critical discussion.
Prerequisite: All topics require the ability to professionally visualize data and do statistical analyses in R. It is expected that you already successfully passed the modules "Mathematics", "Statistics" and "Applied Computer Sciences" or at least have the competencies expected from these modules. Students will learn advanced R applications in finance with the help of learning videos on DataCamp. The DataCamp certificates will contribute towards the final grade.
Prerequisite: All topics require the ability to professionally visualize data and do statistical analyses in R. It is expected that you already successfully passed the modules "Mathematics", "Statistics" and "Applied Computer Sciences" or at least have the competencies expected from these modules. Students will learn advanced R applications in finance with the help of learning videos on DataCamp. The DataCamp certificates will contribute towards the final grade.
Sessions: The course will start March 18th and meet regularly on Mondays from 2
pm to 5.10 pm in Room # W1.09. There might be additional "evening sessions" on Zoom (about Financial Time Series in R).
- Dozent/in: Michael Feucht