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
Title:
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:
Germany
Number of Participants:
12 UF students & 9 Darmstadt students
Discipline:
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:
Padlet
Zoom
Whatsapp
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.