Markus Gross: Catalogue data in Spring Semester 2021

Name	Prof. Dr. Markus Gross
Field	Informatik (Computergraphik)
Address	Institut für Visual Computing ETH Zürich, CNB G 109 Universitätstrasse 6 8092 Zürich SWITZERLAND
Telephone	+41 44 632 71 14
Fax	+41 44 632 11 72
E-mail	grossm@inf.ethz.ch
Department	Computer Science
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
252-5704-00L	Advanced Methods in Computer Graphics 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 credits	2S	M. Gross, O. Sorkine Hornung
Abstract	This 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.
Learning objective	The 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.
263-5701-00L	Visualization	5 credits	2V + 1U + 1A	M. Gross, T. Günther
Abstract	This lecture provides an introduction into visualization of scientific and abstract data.
Learning objective	This 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.
Content	This 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.
Prerequisites / Notice	Fundamentals of differential calculus. Knowledge on numerical mathematics, computer algebra systems, as well as ordinary and partial differential equations is an asset, but not required.
264-5800-17L	Doctoral Seminar in Visual Computing (FS21)	1 credit	1S	M. Gross, M. Pollefeys, O. Sorkine Hornung, S. Tang
Abstract	In 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.
Learning objective	In 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.
Content	Current research at the IVC will be presented and discussed.
Prerequisites / Notice	This course requires solid knowledge in the area of Computer Graphics and Computer Vision as well as state-of-the-art research.