DTE-3613 VR, Graphics, and Animation - 10 stp

This course focuses on theory and practice in graphics, virtual reality and animation.

The first part of the course is theory-based with lectures and programming exercises on the following topics:

• The graphics pipeline
• Geometry
• Shaders
• Render methods
• Textures and maps
• Lighting

The second part of the course is project-based with workshops and programming sessions.

The students are expected to focus on software development methods.

A relevant undergraduate Bachelor’s degree in Engineering, computer science or equivalent.

In addition, the following requirements must be met:

• minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics.

Application Code: 9371

On completion of the course the successful student is expected to:

Knowledge

• Have basic knowledge of the central terminology, definitions, standards, methods and trends within the areas that are included in this course.
• Have basic understanding of the graphics process, and how vertices are transformed into pixels.
• Understand what shaders are and why we use them, and have knowledge of, at least, one shader language.
• Know about various render methods and how they affect the visual outcome and complexity of the implementation.

Skills

• Use the theory to analyse and plan how to develop concrete examples.
• Be able to develop a graphics system from the ground up.
• Use shaders to create visual effects and faster rendering.
• Present their work in a clear and concise manner, orally and in writing, and be able to explain and justify their solution.

General competence

• Use the knowledge and skills in other relevant projects to enhance the visual quality.
• Understand the possibilities and challenges of graphics programming.
• Write about a project in a scientific way, be critical of research material, and know how to separate knowledge and opinion.
• Be able to apply the knowledge and skills to communicate with specialist in the field of computer science, using relevant terminology.

The course uses a mix of different teaching methods including:

• Teacher-driven lectures
• Self-study sessions
• Programming exercises
• Workshops
• Project programming sessions

The theory is taught through teacher-driven lectures and self-study sessions, complemented with programming exercises to understand the concepts visually and from a coding perspective.

In the project part, programming sessions are widely used, with instances of teacher-driven lectures and workshops to add to the learning experience.