COMP4097: ADVANCED COMPUTER GRAPHICS AND VISUALISATION

• COMP2221 Programming Paradigms AND COMP2271 Data Science

• None

• None

• The module focuses on modern, advanced techniques for realistic image synthesis and visualisation, presenting the theoretical background and practical, established algorithms for offline and real-time 3D graphics.

• Introduction: basic image generation.
• Physically-based shading.
• Deferred shading, screen space methods.
• Global illumination methods, BRDFs, ray tracing.
• Path tracing, Monte Carlo integration, acceleration techniques, radiosity.
• Tone mapping.
• Shadows.
• Procedural content generation and noise generation.
• Animation.
• Visualisation definitions and rationale, information visualisation, scientific visualisation.
• Coordinate systems and axes, colour scales, etc.
• Visualisation pipeline and visualisation architectures.
• Visualisation approaches to scalar, vector and volume data.
• Multi-scale, multimodal, multidimensional data, uncertain data.
• Data types, signal filtering, major software platforms.
• Perception.

Subject-specific Knowledge:

• On completion of this module, students will be able to demonstrate a systematic understanding of advanced computer graphics and visualisation algorithms and techniques, and a critical awareness of how they are applicable to both current and emerging needs within the industrial and research environment.

Subject-specific Skills:

• On completion of the module, students will be able to demonstrate:
• An ability to independently evaluate advanced research issues within the computer graphics and visualisation domain including state-of-the-art and common industrial applications thereof.
• An ability to identify challenges and barriers to emerging issues within the computer graphics and visualisation domain and propose potential solutions.
• An ability to propose, plan and carry out research focused on such approaches to support current and future software applications.

Key Skills:

• An ability to exercise judgement on current research topics.
• An ability to propose and apply the appropriate techniques to a range of industrial and research applications.
• An ability to effectively evaluate and communicate technical information.
• An ability to confidently use relevant research material in the development of existing and new application areas.

• Lectures enable students to learn core material in the different subject areas.
• Summative assignment tests the knowledge acquired and the students' ability to use this knowledge to solve complex problems.

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