Dates

Will be coordinated with participants

Performance Requirements and Evaluation

To successfully pass this course, the following requirements need to be fulfilled by the participants/teams:

• Participation at the scheduled lessons
• Elaboration of a sub-subject along the team classification:

1. Setting up of an article for each team (approx. 20 pages)
2. Setting up of a presentation for each team

• Submission of an executive summary till tba of each team
• Submission of team elaboration paper till tba and of team presentation till tba (before session in Cologne)
• Consistent division (time wise and content wise) of the presentation for every team member (overall 45 min presentation and 15 min discussion for each team)
• During the period of editing: Participation at coordination circles for each team

The performance of the participants is evaluated in the following way:

• 50% team elaboration
• 50% individual presentation and dispute

Course Content

In the summer term 2020 Professor Dr. Schanz will offer a special course in reinsurance in cooperation with SCOR Reinsurance. The course will discuss innovative topics in car insurance, for example:

• telematics
• autonomous driving
• E-mobility

During the course the students will work in groups on given problems and present their solutions in the course.

Target Group

The course is offered to master degree students in (Wirtschafts-)Mathematik, Wirtschaftswissenschaften and in our Master of Finance Program, who specialize in Actuarial Sciences.

Reinsurance is an important area for actuaries where many of our alumni work - several of them at SCOR reinsurance (the 4th largest reinsurer in the world).
Therefore, this course is of particular interest for every student who considers reinsurers as potential future employers.

Registration

Since the number of participants is limited you need to apply for this course by April 28, 2020 sending an email to hans-joachim.zwiesler@uni-ulm.de which should include the following information:

• name
• subject of study, number of semesters
• current transcript of course
• which lectures have you already heard in Actuarial Science, Financial Mathematics and Finance (including the current semester)?