Markus Gross: Katalogdaten im Frühjahrssemester 2021

NameHerr Prof. Dr. Markus Gross
LehrgebietInformatik (Computergraphik)
Adresse
Institut für Visual Computing
ETH Zürich, CNB G 109
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Telefon+41 44 632 71 14
Fax+41 44 632 11 72
E-Mailgrossm@inf.ethz.ch
DepartementInformatik
BeziehungOrdentlicher Professor

NummerTitelECTSUmfangDozierende
252-5704-00LAdvanced Methods in Computer Graphics Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 24.

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.
2 KP2SM. Gross, O. Sorkine Hornung
KurzbeschreibungThis seminar covers advanced topics in computer graphics with a focus on the latest research results. Topics include modeling, rendering, visualization,
animation, physical simulation, computational photography, and others.
LernzielThe goal is to obtain an in-depth understanding of actual problems and
research topics in the field of computer graphics as well as improve
presentation and critical analysis skills.
263-5701-00LVisualization Information 5 KP2V + 1U + 1AM. Gross, T. Günther
KurzbeschreibungThis lecture provides an introduction into visualization of scientific and abstract data.
LernzielThis lecture provides an introduction into the visualization of scientific and abstract data. The lecture introduces into the two main branches of visualization: scientific visualization and information visualization. The focus is set onto scientific data, demonstrating the usefulness and necessity of computer graphics in other fields than the entertainment industry. The exercises contain theoretical tasks on the mathematical foundations such as numerical integration, differential vector calculus, and flow field analysis, while programming exercises familiarize with the Visualization Tool Kit (VTK). In a course project, the learned methods are applied to visualize one real scientific data set. The provided data sets contain measurements of volcanic eruptions, galaxy simulations, fluid simulations, meteorological cloud simulations and asteroid impact simulations.
InhaltThis lecture opens with human cognition basics, and scalar and vector calculus. Afterwards, this is applied to the visualization of air and fluid flows, including geometry-based, topology-based and feature-based methods. Further, the direct and indirect visualization of volume data is discussed. The lecture ends on the viualization of abstract, non-spatial and multi-dimensional data by means of information visualization.
Voraussetzungen / BesonderesFundamentals of differential calculus. Knowledge on numerical mathematics, computer algebra systems, as well as ordinary and partial differential equations is an asset, but not required.
264-5800-17LDoctoral Seminar in Visual Computing (FS21) Information 1 KP1SM. Gross, M. Pollefeys, O. Sorkine Hornung, S. Tang
KurzbeschreibungIn this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges caThis graduate seminar provides doctoral students in computer science a chance to read and discuss current research papers.
LernzielIn this doctoral seminar, current research at the Institute for Visual Computing will be presented and discussed. The goal is to learn about current research projects at our institute, to strengthen our expertise in the field, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.
InhaltCurrent research at the IVC will be presented and discussed.
Voraussetzungen / BesonderesThis course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.