Courses
COMP2036 AI and Data Analytics for Health and Social Innovation II (3 units)
- Prerequisite:
- COMP2035 AI and Data Analytics for Health and Social Innovation I
The course follows project-based learning, and students are expected to implement and deploy AI and data analytics solutions in real-world settings. Students are also expected to evaluate the effectiveness of alternative solutions (including technical and non-technical issues) by immersive learning.
In addition, students will adopt the design thinking methodology for humancentric design to tackle a specific problem in healthcare and social well-being with proper use of advanced computational technologies, and the final outcomes are expected to be deployed for evaluation.
After completing the course, students will gain experience of applying computational technologies enabled innovations to practical challenges in healthcare and social well-being.