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If the colour codes change during the academic year to orange or red, modifications are possible, for example to the teaching and evaluation methods.

Data engineering

Course Code :2102TEWDAS
Study domain:Computer Science
Academic year:2020-2021
Semester:2nd semester
Sequentiality:The student must have obtained a credit for the following course or has to include this course in his/her study programme:
- 'Data Mining'
Contact hours:60
Study load (hours):168
Contract restrictions: No contract restriction
Language of instruction:English
Exam period:exam in the 2nd semester
Lecturer(s)Len Feremans

3. Course contents *

  • This course is an introduction to the technical toolboxes that a data scientist needs access to. At the end of the course the student will have a broad set of practical data analytical skills, that can be sued for storing, accessing, analysing, visualising and interpreting data.
  • We will look at both the basic technologies such as SQL to access data, as well as analysing data that are too big to fit in memory, and the use of cloud computing to take advantage of currently available massive processing power.
  • In this course the focus is on the understanding of available technologies, and the rigour in which one can apply these. These all come together in a large case where students work on massive unstructured data to provide visualisations and insights.