Quantitative Methods Workshop
Taking a statistical look at current economic issues
As part of the Multinational Enterprises and the Global Economy course taught by Prof. Dr. Natalia Ribberink as part of the International Business M.Sc. degree, an annual workshop on Quantitative Methods is offered in partnership with the University of Rhode Island (URI), USA. Since 2016, the workshop has been held by Prof. Dr. Natallia Katenka from the Computer Science and Statistics Department at URI (USA) in collaboration with Prof. Dr. Ribberink and Jan-Hendrik Schünemann in Hamburg, Germany, to introduce Master's students to the methods of quantitative data analysis for business and the use of the statistical software R in connection with current topics in business. The student research projects initiated during the workshop have resulted in several publications that have been presented and published at international academic (scientific) conferences.
Scientific publications
After participating in the workshop, interested students have the opportunity to deepen their knowledge of the topic in the context of a Master's thesis. Frequently, the findings generated have already been presented at a conference or have been published.
Schuenemann, J.-H., Ribberink, N., and Katenka, N. (2018), “Intra Japanese Stock Market Behaviour – An Analysis of Dynamic Networks” , to appear in Proc. of 31st Annual Meeting of the Association of Japanese Business Studies (AJBS), Minneapolis, USA.
Schuenemann J.-H., Ribberink, N., and Katenka N., (2019), “Japanese and Chinese Stock Market Behaviour in Comparison - an analysis of dynamic networks,” Asia Pacic Management Review.
Rojic-Becker, A.M., Ribberink, N., and Schuenemann, J.-H., (2021), "Supply Chain Sustainability Perceived by Consumers: An Analysis on German and US American Sustainable Consumer Behavior towards Cosmetics", to appear in Proc. of 2021 Annual Conference of the Academy for International Business (AIB), Online.
Schuenemann J.-H., Katenka, N., and Ribberink N., (2021), "US and European Stock Market Behavior Comparison during the COVID-19 Pandemic – An Analysis of Dynamic Networks", to appear in Proc. of 2021 Annual Conference of the Academy for International Business (AIB), Online.
DataCamp
This class is supported by DataCamp, the most intuitive learning platform for data science and analytics. Learn any time, anywhere and become an expert in R, Python, SQL, and more. DataCamp’s learn-by-doing methodology combines short expert videos and hands-on-the-keyboard exercises to help learners retain knowledge. DataCamp offers 350+ courses by expert instructors on topics such as importing data, data visualisation, and machine learning. They’re constantly expanding their curriculum to keep up with the latest technology trends and to provide the best learning experience for all skill levels. Join over six million learners around the world and close your skills gap.
Partner: Department of Computer Science and Statistics at University of Rhode Island, Rhode Island, USA
www.uri.edu
Where: Hamburg, Deutschland
Who: Students in the International Business M.Sc. degree course
When: Summer semester
Contact: Prof. Dr. Natalia Ribberink
