UF Faculty Department College
Beth Johnson Statistics College of Liberal Arts and Sciences
Partner Faculty Department Partner Institution
Michaela Kiermeier Economics and Business Administration Darmstadt University of Applied Sciences, Germany
International Collaborative Data Analysis in Finance
Project Description:

Students will work in teams of no more than four people to complete a research project based on an assigned topic. Each team will write a statistical paper, of approximately 10 pages, and give an oral presentation to a class audience. Each member of a team will be required to utilize a different statistical technique or type of analysis to analyze the common data set and include their own contribution in the final common report.

Learning Outcomes:

Develop familiarity with analyzing financial data with reference to ESG in an international context.

Participating Countries:
Number of Participants:
12 UF students & 9 Darmstadt students
Statistics and Data Science
UF Course Code & Name:
STA3180 - Statistical Modeling
Project Duration:
6 weeks
Activity Type(s):
Student-to-Student Project
Time allotted to each activity:
Synchronous Activities: 3 hours for 6 weeks
Asynchronous Activities: 3 hours for 6 weeks
Local Group Activities: 2 hours per week
Individual Work: 2 hours per week
Technology Tools:
R for statistical analysis SPSS
Sequence of Activities:

Icebreaker Activity: 

Students from both universities will introduce themselves in Padlet.

Collaboration Activity: 

Students at UF will use data collected at Darmstadt University of Applied Sciences to conduct a statistical analysis. UF students will work with the students in Germany in order to understand the financial variables in the data set.

Reflection Activity: 

UF students held a class discussion on the completion of the project on the impact of the VE project on their statistical learning and professional skills.