Master programme overview
The Imaging Technologies for eXtended Reality master programme has four semesters over two years.
Semester 1 – Fondamental courses in programming, imaging, data analysis and XR devices.
| Courses | ECTS credits | Syllabus |
| Digital Image Processing and Analysis | 5 | link |
| Color and spectral imaging | 5 | link |
| Data analysis | 5 | link |
| Imaging sensors and XR devices | 3 | TBA |
| Introduction to Matlab (levels 1 and 2) | 2 | link |
| Algorithmic and Programming (level 1 and 2) | 10 | link |
Semester 2 – Computational Imaging
| Courses | ECTS credits | Syllabus |
| Real-time 3D Visualization | 5 | link |
| Real-time processing of Image with GPU | 5 | link |
| Complex Computer Rendering Methods in Real Time | 6 | link |
| Machine Learning: Fundamentals and Algorithms | 5 | link |
| Deep Learning and Computer Vision | 6 | link |
| English or Japanese or national language course | 3 | TBA |
Semester 3 – Specializations and industrial/research project
| Courses | ECTS credits | Syllabus |
| Implementation of extended reality applications | 6 | TBA |
| Material appearance in XR | 6 | TBA |
| Computer vision for XR | 6 | TBA |
| Lighting and visual perception in XR | 6 | TBA |
| Research project | 6 | TBA |
Semester 4, Master Thesis, 30 ECTS credits
