Big Data (Summerschool)
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| Course |
Big Data |
| Date |
Aug 12 - 16, 2024 (Summerschool) |
| Course co-ordinator |
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| Course description |
Introduction The digital universe is expanding continuously. This huge amount of information is often referred to big data have a huge potential to answer questions that could not be answered before. For example, in biomedical sciences, researchers increasingly make use of these Big Data, by pooling real-time data from multiple sources including electronic healthcare records in order to e.g. detect diseases at an early stage. The summer school on big data will prove you with a
sound introduction to this exciting new field in health research. Spanning
topics such as: |
| Course objectives |
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| Prerequisite knowledge |
The target group of this course includes advanced BSc and MSc students in biomedical sciences with a basic understanding of epidemiology and (medical) statistics. A basics understanding of R or python programming languages is desirable; however self-study tutorials (~2 hours each) will be provided |
| Course days |
Weekdays |
| Course format |
1 week course (approx. 40 hours), including lectures, computer practicals, a group assignment, and self-study. Each day is split in two blocks of three hours. Blocks will consist of lecture and practical exercises. |
| Assessment |
80% attendance and (Closed book) Exam. |
| Number of participants |
50 |
| Course fee | € 980,- |
| Prerequisite for participation is sufficiënt capacity in terms of teachers and locations. |
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