The objective of the course is to give the participants an overview of epidemiological terminology, data collection and statistical methods and considerations for analysis in the context of traffic safety. The course involves guest lectures by several prominent researchers in Sweden and the US.
The lectures will include case studies, and applications to the real problems in the respective experts’ fields. Target participants for the course are MSc and PhD-students and traffic safety experts from the industry, institutes and government that have an interest in traffic safety as a societal problem and want to learn more about how to perform traffic safety analysis. The different educational and professional background of the students will provide all students with a multi stakeholder perspective of traffic safety analysis.
General information
The overarching goal of this course is to educate university students and professionals (e.g., in industry) in traffic safety analysis methods, providing them with the tools to develop and assess traffic safety solutions, towards vision zero.
The objective of the course is to give the participants an overview of a variety of traffic safety analysis methods, including (but not limited to) epidemiological approaches to traffic safety, Bayesian and Frequentist statistics, the dose-response model, injury risk function creation, and the safe systems approach.
Prerequisites
• MSc in engineering or medicine, or equivalent/similar.
• Some experience in “math” programming is beneficial (e.g., R, Matlab, or Python), as well as basic statistics.
How to apply
Apply to all Tracks courses at antagning.se / universityadmissions.se
Search for the course code TRA395
To assess your application, please provide us with a short motivation letter (max. 1 page). The letter of motivation requested is an opportunity for each student to express specific interests and experience that cannot be seen from transcripts only. The purpose of the motivation letter is to assist the teachers in grouping students with respect to background and interests. In addition, it is possible to upload a CV that may provide additional background experience that may be relevant.
Upload the letter of motivation on your account at antagning.se / universityadmissions.se..
Alumni, PhD students and professionals apply by email to jonas.bargman@chalmers.se or jordanka.kovaceva@chalmers.se
More information on how to select courses
Details
Teacher (s): Jonas Bärgman, Jordanka Kovaceva, Claes Tingvall, Nils Lubbe, Carol Flannagan, Matteo Rizzi, Helena Stigsson, Henrik Imberg, and more.
Course dates: Study period 3 and 4. Twelve to fourteen lectures of 3-4h every second week (with a few exceptions where the time/date is different).
Credits: 7.5
Level: Advanced
Course code: TRA395