LEARNING OUTCOMES
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: 23.10.2024 - 27.11.2024
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
CONTENT, ASSESSMENT AND WORKLOAD
Workload
valid for whole curriculum period:
peer group discussion, individual programming work, project work
DETAILS
Study Material
valid for whole curriculum period:
videos, slides, scientific articles. More information: https://digitraceslab.github.io/dhhb/
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
3 Good Health and Well-being
10 Reduced Inequality
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn II
2025-2026 Autumn II