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Advanced Image Synthesis (SoSe 2021)

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

Kursbereich: Informatik und Angewandte Kognitionswissenschaften

Advanced Image Synthesis (SoSe 2022)

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

Kursbereich: Informatik und Angewandte Kognitionswissenschaften

Advanced Image Synthesis (Wintersemester 2022/2023)

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

Kursbereich: Informatik und Angewandte Kognitionswissenschaften

Advanced Image Synthesis (Wintersemester 2023/2024)

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

Kursbereich: Informatik und Angewandte Kognitionswissenschaften

Advanced Image Synthesis (Wintersemester 2024/2025)

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

Kursbereich: Allgemeine Informatik

Advanced International Automotive Management Fallstudienübung (Übung Automotive Management) - Prof. Dr. Proff (SoSe 2021)

In der Übung werden Themen entlang der automobilen Wertschöpfungskette in Fallstudien vertieft, welche in Gruppen zu bearbeiten und zu präsentieren sind. Die Studierenden erhalten Unterstützung durch die Lehrstuhlmitarbeiter.


Die Themenschwerpunkte orientieren sich an den aktuellen Fragestellungen des betreuenden Lehrstuhls. Im Rahmen der Veranstaltungen werden Fragestellungen bearbeitet, welche die Kompetenzen ansprechen, die in den einzelnen Pflichtveranstaltungen des Moduls Betriebswirtschaftslehre vermittelt werden. 

Den Studierenden wird mit der Bearbeitung ein Überblick über alle Themenstellungen des Pflichtbereiches Betriebswirtschaftslehre gegeben.

Kursbereich: Wirtschaftsingenieurwesen

Advanced Oral Skills Gr.1_Edmunds-Harrington_SoS2021

This course is your opportunity to speak English on a regular basis even if we cannot meet face to face. Through various prepared and spontaneous activities, you will hone your powers of persuasion and argument and develop your formal speaking skills. These activities may include storytelling, passionate talks, debates and other group tasks suited to the online classroom. You will receive constructive feedback from your peers, from your instructor and even from yourselves when you review your recorded speeches and presentations. Beyond mere and mandatory participation, lively debate, creativity and humor are very welcome in this course.

Kursbereich: Anglophone Studien

Advanced Oxidation Processes

Major aims of the course:

·       Overview of routine and state-of-the-art oxidative processes used in water and wastewater treatment

·       Advanced understanding of fundamental transformation processes involved in technical processes

·       Evaluation of advantages and drawbacks of oxidative processes for exemplary applications

·        Development of criteria for the selection of appropriate technological solutions

Part of the course tutorials will also be an introduction to reviewing scientific publications that students will practise on and present in the second half of the term.

Kursbereich: Analytische Chemie

Advanced Oxidation Processes

Major aims of the course:

·       Overview of routine and state-of-the-art oxidative processes used in water and wastewater treatment

·       Advanced understanding of fundamental transformation processes involved in technical processes

·       Evaluation of advantages and drawbacks of oxidative processes for exemplary applications

·        Development of criteria for the selection of appropriate technological solutions

Part of the course tutorials will also be an introduction to reviewing scientific publications that students will practice on and present in the second half of the term.

Kursbereich: Analytische Chemie

Advanced Oxidation Processes

Major aims of the course:

·       Overview of routine and state-of-the-art oxidative processes used in water and wastewater treatment

·       Advanced understanding of fundamental transformation processes involved in technical processes

·       Evaluation of advantages and drawbacks of oxidative processes for exemplary applications

·        Development of criteria for the selection of appropriate technological solutions

Part of the course tutorials will also be an introduction to reviewing scientific publications that students will practise on and present in the second half of the term.

Kursbereich: Analytische Chemie

Advanced Oxidation Processes

Major aims of the course:

·       Overview of routine and state-of-the-art oxidative processes used in water and wastewater treatment

·       Advanced understanding of fundamental transformation processes involved in technical processes

·       Evaluation of advantages and drawbacks of oxidative processes for exemplary applications

·        Development of criteria for the selection of appropriate technological solutions

Part of the course tutorials will also be an introduction to reviewing scientific publications that students will practice on and present in the second half of the term.

Kursbereich: Analytische Chemie

Advanced Oxidation Processes

Major aims of the course:

·       Overview of routine and state-of-the-art oxidative processes used in water and wastewater treatment

·       Advanced understanding of fundamental transformation processes involved in technical processes

·       Evaluation of advantages and drawbacks of oxidative processes for exemplary applications

·        Development of criteria for the selection of appropriate technological solutions

Part of the course tutorials will also be an introduction to reviewing scientific publications that students will practice on and present in the second half of the term.

Kursbereich: Analytische Chemie

Advanced Regression Models

This hands-on seminar teaches the “nuts and bolts” of advanced regression models. Besides explaining the statistical foundations, the focus of the seminar is on practical applications that include many examples from the area of political sociology and policy studies. The starting point is the classic linear regression OLS estimator and the reasons why this method does not always get the job done. In doing so, we will discuss the topic of causal inference in detail. Subsequently, we will focus on models such as Logistic Regression, Random Effects or Multilevel models, Fixed Effects, Difference-in-Differences, and Structural Equation Models.

Participants will learn how to deal practically with these methods using real data examples in R and Stata. Participants will also have the possibility to discuss their own projects (e.g., Master thesis).

Knowledge of basic linear regression is useful, but not a prerequisite. The course will be held in English.

MA students register via LSF. Doctoral students should register directly with me via conrad.ziller@uni-due.de

TuV: This seminar can be used as a course in the Policy Module. In that case, you must not complete the module with Prof. Behrend's course in the upcoming Winter term (as it builds on her course in the summer), but will have to elect the Policy Analysis course offered by either Prof. Blätte or Prof. Goerres.

 

Requirements:

  • Active class participation
  • Readings for each session, which will be digitally available
  • Group exercises
  • Own analysis and its documentation as term paper


Kursbereich: Politikwissenschaft

Advanced Regression Models

This seminar teaches the statistical foundations and practical applications of advanced regression models. Subsequently, to identify limitations of the classic OLS estimator, we focus on the General Linear Model with various link functions, Random Effects (a.k.a. Multilevel) models, Fixed Effects and Difference-in-Differences models, as well as Structural Equation Modeling. In addition to the technicalities, participants will learn how to deal in practice with these tools using real data examples in R. Participants will also have the possibility to discuss their own projects.

Knowledge of basic linear regression is useful, but not a prerequisite. The course will be held in English.


Kursbereich: Politikwissenschaft

Advanced Seminar Theoretical Physics (Scientific Presentation)

Theorie-Hauptseminar für alle, die im Sommersemester 2023 mit der Master-Arbeit beginnen wollen. Anmeldungen bitte per E-Mail an klaus.hornberger@uni-due.de

Kursbereich: Theoretische Physik

Advanced Solid State Physics - Fortgeschrittene Festkörperphysik

Vermittelt werden die physikalischen Begriffe und die grundlegenden Konzepte zur Beschreibung kooperativer Phänomenen wie z.B. Supraleitung und Magnetismus. Das Ziel ist, dass die Studierendendie wesentlichen Experimente und können deren Resultate korrekt analysieren, einordnen und beurteilen können.

Kursbereich: Experimentalphysik

Advanced Solid State Physics - Fortgeschrittene Festkörperphysik SoSe 23

Die Studierenden erlernen die physikalischen Begriffe und die grundlegenden Konzepte zur Beschreibung kooperativer Phänomenen wie z.B. Supraleitung und Magnetismus. Sie kennen und verstehen die wesentlichen Experimente und können deren Resultate korrekt analysieren, einordnen und beurteilen.

Supraleitung

Typ I und Typ II Supraleiter, Londongleichungen (SL und Magnetfelder, Abschirmströme), BCS– Theorie, Josephson-Effekte, SQUID, Superfluidität

Diamagnetismus und Paramagnetismus

Langevin-Gleichung, Quantentheorie des Dia- und Paramagnetismus, Kühlung durch adiabati- sche Entmagnetisierung, Paramagnetische Suszeptibilität der Leitungselektronen

Kooperativer Magnetismus

Ferromagnetische Ordnung, Austauschwechselwirkung, Stonerkriterium, Magnonen,

Magnetische Neutronenstreuung, Ferrimagnetische Ordnung, Antiferromagnetische Ordnung, Ferromagnetische Domänen, Ionen im Kristallfeld, Auslöschung des Bahndrehimpulses

Dielektrische und ferroelektrische Festkörper

Makroskopisches und lokale elektrische Felder, Dielektrizitätskonstante und Polarisierbarkeit, strukturelle Phasenübergänge, ferroelektrische Kristalle

Optische Eigenschaften von Festkörpern

Response-Verhalten, Suszeptibilitäten, komplexer Brechungsindex, Kramers-Kronig-Relation, Fresnel-Gleichungen, optische Reflexion und Absorption, Raman-Effekt

Elementare Anregungen im Festkörper

Plasmonen, Polaritonen, Exzitonen, Energieverlustfunktion



Kursbereich: Experimentalphysik

Advanced Solid State Physics - Fortgeschrittene Festkörperphysik SoSe 24

Kursbereich: Experimentalphysik

Advanced Solid State Physics - Fortgeschrittene Festkörperphysik SoSe19

Die Studierenden erlernen die physikalischen Begriffe und die grundlegenden Konzepte zur Beschreibung kooperativer Phänomenen wie z.B. Supraleitung und Magnetismus. Sie kennen und verstehen die wesentlichen Experimente und können deren Resultate korrekt analysieren, einordnen und beurteilen.

Supraleitung

Typ I und Typ II Supraleiter, Londongleichungen (SL und Magnetfelder, Abschirmströme), BCS– Theorie, Josephson-Effekte, SQUID, Superfluidität

Diamagnetismus und Paramagnetismus

Langevin-Gleichung, Quantentheorie des Dia- und Paramagnetismus, Kühlung durch adiabati- sche Entmagnetisierung, Paramagnetische Suszeptibilität der Leitungselektronen

Kooperativer Magnetismus

Ferromagnetische Ordnung, Austauschwechselwirkung, Stonerkriterium, Magnonen,

Magnetische Neutronenstreuung, Ferrimagnetische Ordnung, Antiferromagnetische Ordnung, Ferromagnetische Domänen, Ionen im Kristallfeld, Auslöschung des Bahndrehimpulses

Dielektrische und ferroelektrische Festkörper

Makroskopisches und lokale elektrische Felder, Dielektrizitätskonstante und Polarisierbarkeit, strukturelle Phasenübergänge, ferroelektrische Kristalle

Optische Eigenschaften von Festkörpern

Response-Verhalten, Suszeptibilitäten, komplexer Brechungsindex, Kramers-Kronig-Relation, Fresnel-Gleichungen, optische Reflexion und Absorption, Raman-Effekt

Elementare Anregungen im Festkörper

Plasmonen, Polaritonen, Exzitonen, Energieverlustfunktion




Kursbereich: Fachstudiengänge

Advanced Solid State Physics - Fortgeschrittene Festkörperphysik SoSe21

Die Studierenden erlernen die physikalischen Begriffe und die grundlegenden Konzepte zur Beschreibung kooperativer Phänomenen wie z.B. Supraleitung und Magnetismus. Sie kennen und verstehen die wesentlichen Experimente und können deren Resultate korrekt analysieren, einordnen und beurteilen.

Supraleitung

Typ I und Typ II Supraleiter, Londongleichungen (SL und Magnetfelder, Abschirmströme), BCS– Theorie, Josephson-Effekte, SQUID, Superfluidität

Diamagnetismus und Paramagnetismus

Langevin-Gleichung, Quantentheorie des Dia- und Paramagnetismus, Kühlung durch adiabati- sche Entmagnetisierung, Paramagnetische Suszeptibilität der Leitungselektronen

Kooperativer Magnetismus

Ferromagnetische Ordnung, Austauschwechselwirkung, Stonerkriterium, Magnonen,

Magnetische Neutronenstreuung, Ferrimagnetische Ordnung, Antiferromagnetische Ordnung, Ferromagnetische Domänen, Ionen im Kristallfeld, Auslöschung des Bahndrehimpulses

Dielektrische und ferroelektrische Festkörper

Makroskopisches und lokale elektrische Felder, Dielektrizitätskonstante und Polarisierbarkeit, strukturelle Phasenübergänge, ferroelektrische Kristalle

Optische Eigenschaften von Festkörpern

Response-Verhalten, Suszeptibilitäten, komplexer Brechungsindex, Kramers-Kronig-Relation, Fresnel-Gleichungen, optische Reflexion und Absorption, Raman-Effekt

Elementare Anregungen im Festkörper

Plasmonen, Polaritonen, Exzitonen, Energieverlustfunktion



Kursbereich: Experimentalphysik
Alle 10577 anzeigen