LEARNING OUTCOMES
When passing this course, the student:
- Understands the differences in practical requirements for data analysis in preventive care vs. specialised healthcare.
- Understands and can objectively evaluate the merits of different devices for measuring behaviour during daily living.
- Is familiar with the main methods to quantize: sleep quality, cognitive load and stress, food intake, and physical activity.
- Can assess performance of low-cost measurements in different scenarios (risk assessment, lifestyle coaching, chronic disease management)
- Understands the concept of adherence to interventions and is able to apply methods to assess it in practice.
- Has basic knowledge of behaviour change technologies and motivational tools.
- Understand the possibilities and limitations of using AI, ML and advanced data analysis methods for data-driven lifestyle change recommendations
- Has knowledge of the technical considerations to take into account for integrating wellness/behaviour data with traditional healthcare databases.
- The student has gained knowledge about common methods to model human behavioural patterns and to create personalised profiles.
Credits: 5
Schedule: 06.03.2023 - 30.06.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Marcus van Gils
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
Content
valid for whole curriculum period:
See Learning outcomes
Assessment Methods and Criteria
valid for whole curriculum period:
exercises, exam
Workload
valid for whole curriculum period:
lectures, exercises
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language : English
Teaching Period : 2022-2023 Spring IV
2023-2024 Spring IV