Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.


ILO1: Identify and distinguish between different types of digital data generated by people.

ILO2: Measure and quantify different aspects of people’s behavior at individual and group level using human generated digital data.

ILO3: Learn how this information can be used in the domains of well-being, health and public health

ILO4: Implement code to extract relevant and useful information from such data.

Credits: 5

Schedule: 26.10.2022 - 30.11.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Talayeh Aledavood

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English


  • valid for whole curriculum period:

    peer group discussion, individual programming work, project work 


Substitutes for Courses
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    10 Reduced Inequality


Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II