Biomedical Research Lab

Faculty of Medicine (UU)

This interdisciplinary lab course gives students a realistic insight into the life of a biomedical researcher. We provide advanced bachelor students (with backgrounds in medicine and/or life sciences) the opportunity to conduct authentic and real-world biomedical research in small interdisciplinary groups. The research is carried out in a well-equipped (wet) laboratory and focuses on urgent medical cases or ongoing translational medicine research problems. Each group will study the same hypothesis from different perspectives by applying different research methods. At the end of the course, course participants will collectively write a short research report and present the outcomes of their project.

•••••••••••••• course director Prof. dr. Niels Bovenschen level Advanced Bachelor period 3 July 2023 - 14 July 2023 credits 3 ECTS course fee € 2450 housing fee € 400

Survival Analysis

Department of Data Science & Biostatistics (UU), in cooperation with UMC Julius Center

This course will give an introduction to survival analysis and cover many of the types of survival data and analysis techniques regularly encountered in biomedical research. The course will focus on practical examples, with an emphasis on matching data analysis to the research question at hand. The daily schedule includes interactive lectures by experienced and enthusiastic lecturers, interwoven with lab sessions that give students the opportunity to apply the theory to real datasets. Examples from medical and biological research will be used in the exercises.

•••••••••••••• course director Rebecca Stellato level Advanced Master period 24 July 2023 – 28 July 2023 credits 1.5 ECTS course fee € 1025 student fee € 720 housing fee € 200

Biostatistics for Researchers Faculty of Medicine (UU)

The course provides an introduction into statistical methodology for life sciences and discusses a number of statistical techniques for practical data analysis. Concrete examples and case studies are used to apply the theory to practical situations. The statistical techniques covered are several T tests, Chi-square tests, analysis of variance (ANOVA), (multiple) linear and logistic regression and survival analysis. The course ends with a group assignment in which a case study is analyzed using the newly acquired statistical techniques.

•••••••••••••• course director Rebecca Stellato level Advanced Bachelor period 10 July 2023 - 21 July 2023 credits 3 ECTS course fee € 1450 housing fee € 400