Key Principles

• Design of STAR education model
  ※ Case study of STAR education model design (School of Computing’s Human-AI Interaction) : Self-development of data-based practicum platform (Explaining Model Predictions to Users)
• Opening of STAR courses
  Opening of STAR courses

  • Smart life
  • Smart mobility
  • Smart working space

  Expansion of STAR courses

  • Smart city
  • Smart health
  • Smart learning
  • Smart factory
  • Smart materials

  Building of
  course tree
• Organization of STAR industrial education programs
  Development of course content and platform into educational solutions for businesses

  Possible launch of digital transformation lecture series

  Integration with STAR research/data platforms

Expected Outcomes

Talent fostering

Fostering talent who show curiosity and ask questions about humans and the world around them

Conducting crossroads research

Preparing for the new post-AI era through research

Commercialization and start-up

Laying a foundation for commercialization of world’s first technologies and launch of start-ups

Leaders with sense of social responsibility

Producing leaders capable of giving back to society after graduation

Industrial level-up

Contributing to real-world problem-solving by providing re-training opportunities for industrial workers