Big Data in Health Research
During the summer school Big Data in Health Research you will learn the key characteristics of Big Data and how to use these data for health research. In addition, you will learn recent developments in health informatics to collect and access Big Data for research purposes. You will discuss different approaches for data analysis and learn how to visualize Big Data, each with a on big data in health research.
In an era of modern health research, it is essential that all stakeholders are aware of the huge amounts of available information referred to as Big Data and the latest trends in this field. This interactive summer school will provide you with clear insights regarding the associated challenges and opportunities of Big Data in Health Research.
The summer school Big Data in Health Research is run over one week and will cover the basic aspects of big data in health research. Interactive lecture sessions, a number of practical and group discussions make for a vibrant and engaging course. This serves as an opportunity to explore the concepts in greater depth, raise questions, and enable participants to acquire greater understanding regarding the role of Big Data in health research. Big data can be distinguished into the following four dimensions: volume (i.e. scale of data), variety (different forms of data), veracity (uncertainty of data), and velocity (e.g. analysis of streaming data). These four dimensions allow researchers to draw new conclusions from Big Data which could not have been identified before.
During this summer school you will learn the key characteristics of Big Data in health research. In addition, you will learn recent developments in health informatics to collect and access Big Data for research purposes. You will discuss different approaches for data analysis and learn how to visualize Big Data. The primary focus of this summer school lies in the area of Big Data for medical research purposes.
Dr. Rolf H.H. Groenwold
The target group of this course includes advanced BSc and MSc students in biomedical sciences with a basic understanding of epidemiology and (medical) statistics. However, participants from other disciplines with a genuine interest in Big Data for health research and a profound understanding of quantitative/mathematical methods are also welcome.
At the end of this course, participants will have an understanding of what Big Data are and how, and to what extent, it can be used for medical research purposes.
1 week course (approx. 40 hours), including lectures, computer practical, a group assignment, and self-study.
• € 950 - Course + course materials + housing
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Utrecht Summer School doesn't offer scholarships for this course.
Deadline for registration: 01 June 2017