EpidM is organizing international Winter Courses in epidemiological and advanced statistical methods. Besides these courses EpidM also organizes a full Master’s Programme in Epidemiology, but this programme is in Dutch.
The EpidM Winter Courses provide a unique possibility to follow advanced level epidemiology and applied biostatistics courses while experiencing the beautiful city of Amsterdam.
Winter Courses in Epidemiology
The organizing committee has developed a very interesting programme which covers courses in Clinical Prediction Models and Machine Learning, Missing Data, Clinimetrics, Item Response Theory and Causal Inference and Propensity Score Methods.
In 2022 we organize one new course: Multilevel Modelling and Longitudinal Data Analysis.
One of the strengths of the courses is the combination of lectures and computer practical’s, which allows participants to put into practice in the afternoon what they have learned in the morning. The courses are also taught by highly experienced teachers, some of whom have written their own best selling textbooks which are used as course material.
The teaching is designed for a wide and varied professional group including university researchers, clinical specialists, general practitioners, dentists, nursing staff, physiotherapists, practitioners of social medicine, epidemiologists, workers in regional or municipal public health services, as well as consultancy firms, health education workers, prevention workers and health insurers.
Due to the uncertain situation surrounding the corona virus, we have decided to offer 5 of our 7 Winter Courses ONLINE in January/ February 2022. This makes it possible for all our foreign students to follow the courses offered and we are not hindered by any travel restrictions.
All courses are structured according to the same format: interactive lectures are alternated with a working group and/or computer practical. Working methods have been chosen that offer the opportunity to dive deeply into the material. The interactive lectures are given to relatively small groups (max. 28-36 students). These lectures are alternated with working groups and/or computer practicals. The teachers and tutors supervise the working groups (max. 10-12 students) and computer practicals. Learning by doing, learning from each other and working together in a multidisciplinary team are didactic principles that form the basis of workgroup education.
The courses are taught on a number of consecutive (3-6) days. In this way, education can be well planned in combination with work.
The courses are provided by a permanent team of teachers. This set-up, in which the lecturers and students spend a number of consecutive days together intensively, ensures a pleasant learning climate with plenty of room for formal and informal interaction. This also offers the students the opportunity to discuss questions from their own research practice with teachers. Because the students work in different sectors of health care, many in the position of (medical) researcher, there is ample opportunity for networking and exchanging experiences.
EpidM uses Canvas. Canvas is a digital learning environment where students can find all information and documents related to the course they participate in. The files, with the exception of (possibly) recorded lectures, will remain available for at least one year.
About three weeks before the start of a course, students will receive an email with practical information about the course. It also contains information about logging in to Canvas. The login accounts will be provided to the students no later than one week before the start of a course.
We advise you to log in to Canvas immediately after receiving the login details for a course.
After these login details have been provided, all correspondence will go through Canvas. This is done by Announcements. When an Announcement is placed on Canvas, the students will automatically receive an email about this. Canvas is automatically set to receive these notifications on a daily basis. We recommend that you do not change this setting to avoid missing important announcements.