Personalization Systems for Health and Sustainability

  • 3 ECTS credits
  • Academic year 2025-2026
  • DP00BB68-3001
Field specific doctoral level course in Information Technology and Electrical Engineering Doctoral programme

Education information

Implementation date

01.12.2025 - 05.12.2025

Enrollment period

-

Education type

Field-specific studies

Alternativity of education

Optional

Location

Linnanmaa

Education description

The course introduces personalization systems with emphasis on health, sustainability, and responsible AI.
Main contents include:
• Foundations of Personalization and Recommender Systems: fundamentals, user modeling, data-driven methods, system design.
• Health-Aware and Sustainability-Aware Personalization: digital health, nutrition, sustainable lifestyles, eco-aware systems.
• Responsible AI and Multi-objective Optimization: fairness, transparency, explainability
• Case Studies and Applications: digital health recommender systems, behavior change interventions.
• Hands-on Exercises and Group Work: design of a responsible personalization prototype, evaluation metrics, SDG alignment.
• Project Presentations: implementation, evaluation, peer feedback, discussion of future research challenges

Created 10.10.2025 | Updated 10.10.2025