Page 5 of 7
| Course title | City | Start date | Credits |
|---|---|---|---|
| Literature search strategies (8/6 2026) | Odense M | June 2026 | 0,7 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The course focuses on which sources to search, how to plan the search process, how to design the search strategies. Furthermore, the course will address how to manage the references and how you document and report the search process. The course includes u |
|||
| Logic of Writing (5-6 + 8/10 2026) | Odense M | October 2026 | 2 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The aim of this 2½ day course is to give you the tools to make the information in your text flow well so that your message is clear and stands out. The learning activities include lectures/tips, group tasks, online tasks, and critical analysis of own text |
|||
| Machine learning with sports and health data - Introduction ... | Odense M | September 2026 | 2,4 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
Over the last five to ten years machine learning (ML) methods has gained widespread use with both sports and health data. ML methods can be used with both accelerometry or heart rate data for health or sports purposes or for simple clinical studies to fin |
|||
| Mechanisms and methods of basic cancer biology ( 2-6/11 2026... | Odense M | November 2026 | 3 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
This course provides insight into the basic molecular mechanisms of cancer development and progression through presentations by invited speakers and discussion of research papers. Subjects covered on the course include: DNA damage, cell death, kinase sign |
|||
| Methods in modern epidemiology (4-7/5 2026) | Odense M | May 2026 | 2,5 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The course will cover advanced methods and techniques aimed at reducing bias and exploring causal relationships in modern epidemiology. It will introduce the concept of the counterfactual approach for interpreting causality. Students will be taught techni |
|||
| Mixed models in Health Science (15/9 + 22/9 2026) | Odense M | September 2026 | 1,8 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The focus of the course is on the general mixed model for responses of most common types. Further, applications from modern research within health science will be presented and worked through for practical illustration and interpretation.After completing |
|||
| NVivo for Qualitative Research (7/9 + 28/9 2026) | Odense M | September 2026 | 2 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
Students are encouraged to work on their own projectdata and share questions, troubleshooting and solving of problems in the classroom with peers, to increase the learning experience. |
|||
| Patient and User involvement in Health Research (16-19/3 202... | Odense M | March 2026 | 2,8 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The purpose of the course is to provide the participants knowledge and tools enabling them to (critically) explain and argue why and how to involve patients/users in research, to explain the pros and cons of various models of user involvement, to assess a |
|||
| Randomized controlled trial in health sciences – why and how... | Odense M | November 2026 | 2,4 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
The present course will cover topics on how to run a RCT in health sciences, different types of trial designs, sample size calculation, choice of outcome, bias, placebo effect and the publication procedure. |
|||
| REDCap databases for clinical research (10/11 + 17/11 2026) | Odense M | November 2026 | 1,4 ECTS |
|
Graduate School of Health Sciences at University of Southern Denmark
REDCap is an increasingly popular browser-based database platform for data collection in clinical research. It offers an intuitive user interface for building custom data collection instruments for clinical research projects. Instruments can be filled by |
|||