| Dozent/in |
Ass.-Prof. Dr. Adrian Martinez de la Torre |
| Veranstaltungsart |
Vorlesung |
| Code |
HS261135 |
| Semester |
Herbstsemester 2026 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Mi, 16.09.2026, 08:15 - 12:00 Uhr, 3.B58
Mi, 23.09.2026, 08:15 - 12:00 Uhr, 3.B58
Mi, 30.09.2026, 08:15 - 12:00 Uhr, 3.B58
Mi, 21.10.2026, 08:15 - 12:00 Uhr, 3.A05
Mi, 04.11.2026, 08:15 - 13:00 Uhr, HS 6
Mi, 09.12.2026, 08:15 - 13:00 Uhr, 3.A05 |
| Umfang |
2 Semesterwochenstunden |
| Inhalt |
The course introduces the main principles and applications of sports epidemiology, with a focus on injury prevention, rehabilitation, return-to-play, and sports health research. Students will learn how to formulate relevant research questions, distinguish between descriptive, analytical, and predictive aims, and choose appropriate observational study designs such as cohort, case-control, case-crossover, and self-controlled approaches. The course also covers key methodological issues including bias, confounding, equity and representation, and the critical appraisal of published research.
In addition, students will be introduced to common analytical approaches used in sports epidemiology, including regression models, survival analysis, propensity score methods, and basic strategies for handling missing data. The course also provides an introduction to prediction modelling and machine learning in sports health research, with emphasis on practical applications, interpretation, and limitations. Throughout the course, students will apply these concepts in group work, critical appraisal exercises, and the development of a final project. |
| E-Learning |
Slides, selected readings, assignment instructions, and other course materials will be made available on Moodle. |
| Lernziele |
By the end of the course, students will understand the main principles of sports epidemiology and how they apply to questions in injury prevention, rehabilitation, return-to-play, and sports health research. They will be able to formulate relevant research questions, choose an appropriate observational study design, and recognize common sources of bias and confounding that can affect the validity of a study.
Students will also learn how to interpret common analytical approaches used in sports epidemiology, including regression models, survival analysis, propensity score methods, and basic approaches to missing data. In addition, they will be able to distinguish between causal questions and prediction problems, critically appraise published research, including issues of equity and representation, and communicate methodological reasoning clearly in discussion, writing, and presentations. |
| Voraussetzungen |
Basic knowledge of epidemiology and statistics is recommended, but no formal prerequisites are required. Students should be prepared to read and discuss scientific papers and to work collaboratively in small groups. A basic familiarity with R or statistical software may be helpful. |
| Sprache |
Englisch |
| Anmeldung |
Moodle: https://elearning.hsm-unilu.ch/course/view.php?id=1030
|
| Leistungsnachweis |
Assessment consists of three components. A mid-course group critical appraisal of a published paper in sports or rehabilitation epidemiology counts for 25% of the final grade; details will be communicated during the course. The final project includes a short written group report, due on 27 November 2026, and counts for 25% of the final grade. The final group presentation of this project will take place on 9 December 2026 and counts for 50% of the final grade. Students are expected to demonstrate understanding of study design, bias, confounding, interpretation of findings, and clear methodological reasoning.
IMPORTANT: In order to earn credits and participate at the exam registration via Uni Portal within the exam registration period is MANDATORY. . Further information: www.unilu.ch/en/study/courses-exams-regulations/health-sciences-and-medicine/exams/ |
| Abschlussform / Credits |
Presentation, class and group work, group project / 3 Credits
|
| Hörer-/innen |
Nein |
| Kontakt |
adrian.martinez@unilu.ch |
| Material |
Materials include lecture slides, selected scientific papers, case studies, and guidance documents for the group assignments and final project. All relevant materials will be provided via Moodle. |
| Literatur |
Readings and material will be announced once the course materials are available online. |