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Module Descriptor School of Computer Science and Statistics

Module CodeCS7GV3
Module NameReal-time Rendering
Module Short Title
Semester TaughtHT
Contact Hours

2 lecture hours per week

Module PersonnelAssistant Professor Michael Manzke
Learning Outcomes

On successful completion of this module, students will be able to:

  • GV3LO1 explain the differences between fixed function graphics pipelines and shader architectures, including pixel, vertex and geometry shaders.
  • GV3LO2 architect a shader pipeline in a game context.
  • GV3LO3 develop specific shaders to implement lighting models, shadowing, geometry processing and post-processing effects.
  • GV3LO4 analyse and compare different approaches to real-time rendering
  • GV3LO5 discuss state-of-the-art issues in real-time rendering
Learning Aims

This module deals with programming for GPU pipeline architectures e.g. geometry, rasterisation, texturing, fragment / pixel and vertex shaders. Students will be introduced to shader systems and shader coding and will learn about modern game graphics engine architectures and developing real-time graphics applications, both for desktop PC and Xbox360. The module will explore advanced rendering concepts presented at leading international conferences such as SIGGRAPH and GDC.

Module Content

1.         Overview of graphics pipeline

2.         Introduction to GPUs

3.         Introduction to shader / stream programming using GLSL

4.         Illumination/ Surface models (Phong, Blinn, normal maps etc.)

5.         Shadowing Techniques (shadow maps, volumes etc.)

6.         Global Illumination (reflection, refraction etc.)

7.         Stylised and Non-photorealistic Rendering

8.         Voxel rendering

Recommended Reading List

Real-Time Rendering, 3rd Ed., Akenine-Möller, Haines and Hoffman, ISBN 978-1568814247, AK-Peters.

Various research papers from SIGGRAPH

Excerpts from GPU PRO, GPU Gems, Graphics Gems series of books

Module Prerequisites
Assessment Details

Annual Assessment= 100% Coursework

Coursework will consist of labs 50% and a project 50%.

Supplemental Assessment = 100% Coursework

Module Website
Academic Year of Data