Teaching

Summer Term 2019

Lecture: Grundlegende Programmiertechniken (German)

V2+U2
Lecture Time & Place: Tue. 10:00-12:00 c.t., LB 107
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: see LSF
Exercise Supervisors: Contact at gpt@uni-due.de (R. Rothaller & A. Krekhov)
Course Language: German
Audience: Bachelor

Zusammenfassung: Anhand der Programmiersprachen Python 3 und Java werden grundlegende Programmiertechniken besprochen. Inhalte unter anderem - Einführung und grundlegende Struktur von Programmen - Lexikalische Elemente, Datentypen und Variablen, Anweisungen und Kontrollstrukturen - Elementare Datenstrukturen: Mengen, Felder, Listen - Eingabe und Ausgabe mittels Streams - Funktionen und Module - Grundlegende Algorithmen: Suchen und Sortieren - Eingabe/Ausgabe Listen-Abstraktion. Unterschiede Java / Python.

Lecture: Datenstrukturen und Algorithmen (German)

V4+U2
Lecture Time & Place: Mo. 14:00 - 16:00 c.t., LB 131 & Wed. 14:00 - 16:00 c.t., LX 1203
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: see LSF
Exercise Supervisor: Contact S. Cmentowski
Course Language: German
Audience: Bachelor (Angewandte Informatik, Angewandte Kognitions- und Medienwissenschaften, International Studies in Engineering)

Lecture: Scientific Visualization

V2+U2
Lecture Time & Place: Mo. 10:00-12:00 c.t. LE 120
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: Mo. 12:00-14:00 c.t. LE 120
Exercise Supervisor: D. Preuss
Course Language: English
Audience: Master

Abstract: The focus of this introductory course is 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 be given to outline the benefits of visualization techniques in practical applications. A particular focus is put on interactive methods using GPU-based techniques. Topics include:

History of Visualization Methods, from ancient wall paintings to GPU accelerated rendering
Data Sources

Simulation: basics of finite element discretization to GPU-based methods
Measurements: physical details of computed tomography to accelerated reconstruction

Data Representation: interpolation techniques, from data to meshes
Filtering: various filtering methods and their hardware acceleration
Scalar Volumes

the basics of direct volume rendering
GPU accelerated volume rendering I: slicing and ray-casting
GPU accelerated volume rendering II: ray guided volume rendering and out-of-core techniques
indirect volume rendering
unstructured data

Flow Visualization

glyph based methods
geometric methods
GPU-based particle tracing
texture-based methods I: LIC
texture-based methods II: Explicit Frequency Control
feature based methods

Virtual Reality

Lecture: Advanced Image Synthesis

V3+U1
Lecture Time & Place:
Tue. 14:00-16:00 c.t. LE 120, Thu. 9:00-10:00 s.t. LE 105
Instructor: Prof. Dr. J. Krüger
Exercise Time & Place: Thu. 8:00-9:00 c.t. LE 105
Exercise Supervisor: A. Waschk
Course Language: English
Audience: Master

Abstract: 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

Lab Course (Forschungsprojekt): Der Traum vom Fliegen - in VR

Kick-off & Registration Meeting: 9. April, 14:00 s.t., LE 335
Instructor: A. Krekhov, S. Cmentowski & Prof. Dr. J. Krüger
Course Language: German
Audience: Master

In diesem Forschungsprojekt setzen wir uns damit auseinander, wie man sich fliegend durch VR-Welten fortbewegen kann. Wir erarbeiten verschiedene neuartige Lösungsansätze (z.B. Flügelschlag durch Armbewegung) und validieren diese anschließend im Rahmen einer Studie. Vorwissen im VR-Bereich ist nicht erforderlich, allerdings setzen wir Unit3D-Kenntnisse für die Umsetzung der Flugmechanismen voraus. Ferner sind Grundkenntnisse im Bereich Studiendesign empfohlen.

Seminar: How to Deliver an Engaging Computer Science Speech - Eine Einführung in elementare Vorbereitungs- und Vortragstechniken

Instructors: Prof. Dr. J. Krüger & team
Kick-off & Registration Meeting: Thu. 12:00-14:00 c.t. LF 125
Time & Place: April 11th 12:00-14:00 c.t. LF 125
Course Langugage: English or German
Audience: Bachelor & Master

Abstract: In addition to the scientific content in this seminar we will put special emphasis on the presentation. To improve the presentation skills of the participants we will start the seminar with simpe topics, record short talks from each participant, and analyze the presentation. Students then give a seminar talk on their chosen topic.