Thomas Höllt • Teaching

DSAIT4000 — Data Management and Engineering

Responsible teachers: Rihan Hai, and Christoph Lofi. • Co-Teachers: Avishek Anand, Ujwal Gadiraju, Thomas Höllt, Asterios Katsifodimos, Sole Pera, and Jie Yang.

This course offers a comprehensive introduction to core topics in data, data management, and data engineering. It covers the role of data in AI systems, data modelling, dataset creation, data quality improvement, data visualization, dataset integration, data analysis using mining techniques, data storage and retrieval, data distribution, and the impact of inadequate data on subsequent systems and decision making.

Course in TU Delft study Guide.

IN4310 — Seminar Computer Graphics

Responsible teacher: Petr Kellnhofer • Co-Teachers: Rafa Bidarra, Elmar Eisemann, Klaus Hildebrandt, Thomas Höllt, Ricardo Marroquim, Martin Skrodzki, and Michael Weinmann

In this research course you conduct deep investigation of recent techniques solving attractive problems in Visual Computing and Interactive Visual Analysis including Visualization, Interaction, Image Processing, Inverse rendering, and 3D data processing. You will survey research outputs in the area of your interest, present a selected paper and develop an implementation supporting the education on the topic. The goal is to strengthen your analytical and presentation skills and prepare you for research in your MSc thesis project.

Course in TU Delft study Guide.

DSAIT4075 — Data Visualization

Responsible teacher: Thomas Höllt • Co-Teacher: Elmar Eisemann

Data visualization is the visual representation of data by computer generated images. In this course we focus on human principle for visual analysis of various data collections such as databases. The goal is to improve insight, understanding and/or communication of data. Data visualizations use a combination of methods from a very diverse variety of disciplines: perception, computer graphics, human computer interaction, machine learning, numerical analysis, optimization, etc. Topics covered: models of the visualization process; colour models and use of colour; information visualization; representation and processing of data; interactive visual data analysis; truthful data visualization.

Course in TU Delft study Guide.

DSAIT4080 — 3D Visualization

Responsible teacher: Thomas Höllt • Co-Teachers: Elmar Eisemann and Petr Kellnhofer

This course builds upon the Data visualization course and extends the focus on scientific data, for example theory and practice of spatial data visualization such as medical scans or simulations. This includes the following aspects: data acquisition basics, clinical practice; image processing, e.g., filtering, segmentation, and measurement; medical volume visualization; illustrative visualization; advanced visualization for complex modalities; interaction techniques for 3D; advanced applications and specific requirements for different fields.

Course in TU Delft study Guide.

DSAIT4215 — Research in Visual Computing and Interactive Visual Analysis

Responsible teacher: Petr Kellnhofer • Co-Teachers: Rafa Bidarra, Elmar Eisemann, Klaus Hildebrandt, Thomas Höllt, Ricardo Marroquim, Martin Skrodzki, and Michael Weinmann

In this research course you conduct deep investigation of recent techniques solving attractive problems in Visual Computing and Interactive Visual Analysis including Visualization, Interaction, Image Processing, Inverse rendering, and 3D data processing. You will survey research outputs in the area of your interest, present a selected paper and develop an implementation supporting the education on the topic. The goal is to strengthen your analytical and presentation skills and prepare you for research in your MSc thesis project.

Course in TU Delft study Guide.

CS4705 — Research Seminar Computer Graphics

Responsible teacher: Petr Kellnhofer • Co-Teachers: Rafa Bidarra, Elmar Eisemann, Klaus Hildebrandt, Thomas Höllt, Ricardo Marroquim, Martin Skrodzki, and Michael Weinmann

In this research course you conduct deep investigation of recent techniques solving attractive problems in Visual Computing and Interactive Visual Analysis including Visualization, Interaction, Image Processing, Inverse rendering, and 3D data processing. You will survey research outputs in the area of your interest, present a selected paper and develop an implementation supporting the education on the topic. The goal is to strengthen your analytical and presentation skills and prepare you for research in your MSc thesis project.

Course in TU Delft study Guide.

Courses

Current Academic Year

Previous Courses

2023/24

2022/23

2021/22

2020/21