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Cursus: INFOB3DA
INFOB3DA
Data analytics
Cursus informatie
CursuscodeINFOB3DA
Studiepunten (EC)7,5
Cursusdoelen
At the end of the course, students should be able to:
  1. Discuss why Life Sciences & Health in particular is a relevant domain for applying DA
  2. State at least three DA processes and discuss their differentiating key aspects
  3. Apply the CRoss-Industry Standard Process for Data Mining (CRISP-DM)
  4. Select appropriate techniques and algorithms to model a dataset from a task-oriented perspective
  5. Structure semi-structured and unstructured data
  6. Integrate external data to evaluate uncovered and derive new knowledge
  7. Relate the potential impact of data quality problems to each step of the DA process
Inhoud
In this Data Analytics (DA) course you will learn how to apply a data-driven approach to problem solving within the Life Sciences & Health domain. Throughout the workshops you will work in small project teams on several DA assignments, on both predefined and free-choice problems/datasets, using several software tools. The lectures will provide the theoretical background of how a DA process should be performed according to industry standards. Furthermore, we discuss an overview of popular DA techniques to help match techniques with information needs, including applications of text mining and data enrichment.

The course will most likely be taught in Dutch, but the course materials will be in English.
For complete and current course information, please refer to the departmental course page at http://www.cs.uu.nl/education/vak.php?stijl=2&vak=INFOB3DA.
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