Deze cursusinformatie geeft aan hoe het onderwijs zal verlopen bij pandemieniveau code geel en groen.
Als er tijdens het academiejaar aangepast wordt naar code oranje of rood, zijn er wijzigingen mogelijk o.a. in de gebruikte werk - en evaluatievormen.

Case studies and trends in data science

Course Code :2101TEWDAS
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:30
Study load (hours):84
Contract restrictions: No contract restriction
Language of instruction:English
Exam period:exam in the 2nd semester
Lecturer(s)David Martens

3. Course contents *

In this course several interesting data science cases from industry and advanced topics in data science will be discussed. These will be taught by the instructor and by several guest speakers who are working in the area of these trends. Topics that are of interest are:

  • Deep learning and self-driving cars
  • Internet of Things: predictive maintenance and city of things
  • Fraud detection with data mining at the government
  • Targeted digital advertising
  • HR Analytics