Course - Immersive Technologies - IE501914
Immersive Technologies
About
About the course
Course content
This course builds on the theory introduced in Computer Graphics I. In addition, students will learn how to apply this theory using advanced graphics engines (e.g., Unity3D) in projects involving immersive technologies, such as (but not limited to)
- Virtual Reality (VR)
- Augmented Reality (AR)
- Mixed Reality (MR)
Learning outcome
Knowledge:
- Have knowledge of selected topics in computer graphics.
- Have knowledge of algorithms and data structures used in computer graphics.
- Have knowledge of concepts and technologies related to VR, AR, and MR.
Skills:
- Be able to demonstrate programming skills in advanced graphics engines.
- Be able to create interactive computer graphics using advanced graphics engines.
- Be able to create immersive applications using advanced graphics engines.
General competence:
- Have general knowledge about the subject's possibilities and limitations.
- Have the competence to analyze and communicate research questions within the field of computer graphics.
- Have general knowledge required to contribute to innovation in the field of computer graphics.
Learning methods and activities
Lectures, exercises, and discussions in groups and in plenum, and practical laboratory work. Mandatory exercises: 1-3 mandatory assignments that must be passed to gain admission to the examination.
Compulsory assignments
- Mandatory assignments
Further on evaluation
The portfolio consists of a predefined number (3-10) of hands-on activities and project assignments. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. The assessment is an overall evaluation of the portfolio.
Specific conditions
Admission to a programme of study is required:
Simulation and Visualization (880MVS)
Recommended previous knowledge
Linear algebra. General programming skills.
Required previous knowledge
IE500217 Computer Graphics I
Course materials
Course literature will be announced at the start of the course.
Subject areas
- Graphics/Image Processing
- Engineering Subjects
Contact information
Lecturers
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2023
Portfolio assessment
Ordinary examination - Spring 2024
Portfolio assessment
Submission 2024-05-31 Time Release 09:00
Submission 12:00 Exam system Inspera Assessment