Moodle UDE

This lecture deals with the fundamentals of photorealistic and interactive image synthesis. In particular, we discuss techniques to achieve interactive frame rates for the realistic rendering of complex models and scenes using GPU accelerated techniques. Selected graphics algorithms and their efficient implementation exploiting state-of-the-art graphics hardware through graphics APIs will be demonstrated. We focus on dedicated parts of the graphics pipeline and we review the functionality provided by consumer class graphics accelerators including programmable vertex-, geometry- and fragment shaders. In addition, we discuss the governing equations in physics based light transport and we demonstrate effective solution methods for the simulation of global illumination. Topics include:

• Interactive image synthesis
• Graphics APIs & hardware, OpenGL, DirectX, Vulkan and CUDA
• Fixed function & programmable graphics pipeline
• Introduction to General-purpose computation on graphics hardware (GPGPU)
• Lighting
• Local lighting models
• GPU implementation
• Environment Mapping
• GPU Shadowing techniques
• Projective Shadows
• Shadow Volumes
• Shadow Maps
• Transparent Objects:
• (depth) sorting with implementations on graphics hardware
• Order independent transparency & depth peeling on GPUs
• Physics based rendering
• Radiometric quantities, rendering equation
• Raytracing / path tracing
• Radiosity
• Irradiance volumes
• Precomputed radiance transfer (PRT)
• Ambient Occlusion with focus on GPU-based interactive methods
• Special topics:
• GPU friendly High quality terrain rendering & synthesis
• Rendering of fur and hair
• Scenegraph APIs
• Acceleration structures and culling techniques
• Human visual perception and high dynamic range imaging (HDRI)
• REYES
• Image compression techniques

This introductory course focuses on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes, the visualization pipeline, data structures, mapping techniques, and special rendering techniques for scientific data will be discussed. Various examples will outline the benefits of visualization techniques in practical applications. A particular focus is put on interactive methods using GPU-based techniques. Topics include:

• Interactive image synthesis
• Graphics APIs & hardware, OpenGL, DirectX, Vulkan and CUDA
• Fixed function & programmable graphics pipeline
• Introduction to General-purpose computation on graphics hardware (GPGPU)
• Lighting
• Local lighting models
• GPU implementation
• Environment Mapping
• GPU Shadowing techniques
• Projective Shadows
• Shadow Volumes
• Shadow Maps
• Transparent Objects:
• (depth) sorting with implementations on graphics hardware
• Order independent transparency & depth peeling on GPUs
• Physics based rendering
• Radiometric quantities, rendering equation
• Raytracing / path tracing
• Radiosity
• Irradiance volumes
• Precomputed radiance transfer (PRT)
• Ambient Occlusion with focus on GPU-based interactive methods
• Special topics:
• GPU friendly High quality terrain rendering & synthesis
• Rendering of fur and hair
• Scenegraph APIs
• Acceleration structures and culling techniques
• Human visual perception and high dynamic range imaging (HDRI)
• REYES
• Image compression techniques

This introductory course focuses on discussing efficient techniques to visually represent large-scale data sets from simulation and measurement. Starting with a brief introduction on the data generation processes, the visualization pipeline, data structures, mapping techniques, and special rendering techniques for scientific data will be discussed. Various examples will outline the benefits of visualization techniques in practical applications. A particular focus is put on interactive methods using GPU-based techniques. Topics include:

• Interactive image synthesis
• Graphics APIs & hardware, OpenGL, DirectX, Vulkan and CUDA
• Fixed function & programmable graphics pipeline
• Introduction to General-purpose computation on graphics hardware (GPGPU)
• Lighting
• Local lighting models
• GPU implementation
• Environment Mapping
• GPU Shadowing techniques
• Projective Shadows
• Shadow Volumes
• Shadow Maps
• Transparent Objects:
• (depth) sorting with implementations on graphics hardware
• Order independent transparency & depth peeling on GPUs
• Physics based rendering
• Radiometric quantities, rendering equation
• Raytracing / path tracing
• Radiosity
• Irradiance volumes
• Precomputed radiance transfer (PRT)
• Ambient Occlusion with focus on GPU-based interactive methods
• Special topics:
• GPU friendly High quality terrain rendering & synthesis
• Rendering of fur and hair
• Scenegraph APIs
• Acceleration structures and culling techniques
• Human visual perception and high dynamic range imaging (HDRI)
• REYES
• Image compression techniques

The aim of this course is to give students the opportunity to improve their oral comprehension and presentation skills and expand their vocabulary and expression using a variety of documentaries, podcasts and audio files.

The main focus of this course is on the art of debating. Students will be given the opportunity to participate in a number of in-class debates on a wide variety of controversial issues. In so doing, students will be able to develop their public speaking skills as well as hone their powers of persuasion by arguing for or against motions which they may not necessarily support or have strong views about themselves. Students will be expected to take an active part in all debates, either as speakers in at least two debates or as members of the audience in the open discussions towards the end of each debate. In addition to the debates, students will take part in several other oral activities in class, some of which require prior preparation.

Welcome to the Moodle Course for Advanced Oral Skills/Advanced Communication Course Group 5. You will be given regular opportunities to develop your spoken English in several different contexts, receiving feedback on your performance from both the instructor and your classmates. More specifics will be announced after registration and consultation with the students.