Team Analytics – Data-Driven Racing Challenge

What it is about

You work in a team on a motorsport-based simulation and compete in a virtual championship as a racing team. You analyze large datasets and develop data-driven strategies and models to optimize vehicle settings and achieve better results in races. In the end you can exploratively analyze data, apply predictive models, and make data-based decisions under uncertainty.

What you will be able to do

• Analyze large and complex datasets
• Apply predictive modeling and statistical methods
• Develop and empirically evaluate data-driven strategies
• Make and reflect on data-based decisions in dynamic, uncertain situations
• Present analytical results clearly and convincingly

What the module consists of

• Seminar / Project workTeam-based work on a simulation-related challenge to optimize the virtual race car
• PresentationFinal presentation of the analysis strategies and results to the group

Teaching method

• Interaktive VorlesungenIntroduction to relevant theoretical methods
• Gruppenarbeit mit FeedbackApplying the methods in the team and improvement through feedback
• Hands-on-Übungen (explorative Datenanalyse, Modellierung)Practically training analysis and modeling skills
• Coaching-SitzungenSupport of teamwork and methodological implementation
• Simulationbasierte WettbewerbeIterative decision-making and application of the developed strategies