Course - Computer Graphics and Immersive Media - IDIG4845
Computer Graphics and Immersive Media
Lessons are not given in the academic year 2026/2027
About
About the course
Course content
- History of stereoscopy, widescreen and immersive experiences.
- Photogrammetry and 3D modeling.
- Physically-based rendering principles.
- Interactive and immersive visualisation techniques.
- Virtual, and Augmented Reality.
- Devices, sensors, and tracking technologies.
- Immersive content design and user interaction.
Learning outcome
Knowledge
- Understand fundamental principles of modern computer graphics and immersive technologies.
- Recognise historical milestones in the development of visual technologies.
- Describe the physics and mathematics underlying light-material interactions and rendering techniques.
Skills
- Create models and textures suitable for immersive environments.
- Implement animations and dynamic simulations in computer graphics pipelines.
- Develop and deploy immersive applications in VR/AR platforms.
General Competence
- Critically evaluate visual experiences and immersive content.
- Integrate multidisciplinary knowledge to design interactive and engaging visual applications.
- Collaborate effectively in project-based environments, managing content creation and technical implementation.
Learning methods and activities
- Lectures: Conceptual frameworks, historical context, and theoretical foundations.
- Seminars/Discussions: Exploration of case studies, new technologies, and ethical implications.
- Lab Sessions: Hands-on work in modeling, rendering, and XR application development.
- Project Work: Individual or group projects creating end-to-end immersive visual experiences.
Further on evaluation
The final grade is based on two components:
Project Report (60%) - Students complete a project. The project report should document the development process, theoretical background, and reflection on results.
Oral Examination (40%) - An individual oral exam assessing the student’s understanding of the theoretical foundations, project work, and broader course content.
Grades are given on a scale from A to F.
Students may use generative AI tools to support coding, analysis, or writing, provided that such use is transparently documented and that the student demonstrates a clear understanding of the generated material.
Specific conditions
Admission to a programme of study is required:
Applied Computer Science (MACS)
Informatics (MSIT)
Recommended previous knowledge
Programming and Image Processing skills.
Required previous knowledge
Programming and Image Processing skills.
Subject areas
- Computer Science
- Graphics/Image Processing