Summer Term 2023

Lectures | Seminars | Practical Courses

Lectures

Geometry Processing (IN2297) - Geometric Methods for Computer Graphics and Visualization

Lecturer Prof. Dr. Rüdiger Westermann
Studies Computer Science, Informatik: Games Engineering
Prerequisites Computer Graphics, Game Engine Design, Realtime Computer Graphics
Info Introduction to geometric shape modelling, geometry representation and processing, rendering aspects
IN2297, 4 SWS, 6 ECTS
Grundlagen Algorithmen und Datenstrukturen IN0007
Lecturer Prof. Dr. Nils Thuerey
Studies Bachelor Informatics
Prerequisites Einführung in die Informtik 1 (IN0001), Diskrete Strukturen (IN0015)
Info Modulbeschreibung
IN0007, 5 SWS, 6 ECTS
Realtime Computer Graphics (IN0038 & IN0039)
Lecturer Prof. Rüdiger Westermann 
Studies Bachelor Informatics, Informatics: Games Engineering
Prerequisites None
Info This module is open for bachelor students of Informatics (as an elective module) and Informatics: Games Engineering, and students who need this lecture as a bridge course to attend the master program Informatics: Games Engineering. Associated to this module is a practical, in which the students learn the fundamentals of shader programming using Java and a web-based shader tool. The practical is mandatory for sudents of Informatics: Games Engineering. The practical can be selected as a Bachelor practical for students of Informatics. The lecture will be taught in English.
IN0038 & IN0039, 4 SWS, 5 ECTS
Machine Learning for 3D Geometry (IN2392)
Lecturer Prof. Dr. Angela Dai
Studies Computer Science, Master Informatics
Prerequisites IN2346 Introduction to Deep Learning
MA0901 Lineare Algebra für Informatiker
Info IN2392, 4 SWS, 6 ECTS
Advanced Deep Learning for Physics (IN 2298)
Lecturer Prof. Dr. Nils Thuerey
Studies Master of Informatics (all variants)
Prerequisites MA0902 Analysis für Informatiker
MA0901 Lineare Algebra für Informatiker
IN2346 Introduction to Deep Learning
Info IN2298, 4 SWS, 6 ECTS

Seminars

Recent Highlights in Graphics, Special Effects and Visualization (IN2107)
Lecturer Prof. Dr. Rüdiger Westermann
Studies Master Informatics
Prerequisites Image Synthesis
Info IN2107, 2 SWS, 5 ECTS
3D Machine Learning (IN2107)
Lecturer Prof. Dr. Angela Dai
Studies Master Informatics
Prerequisites Basic understanding of geometry is desirable
Info IN2107, 2 SWS, 5 ECTS

Practical Courses

Computer Games Laboratory (IN7106)
Lecturer Prof. Dr. Rüdiger Westermann
Studies Master Informatik: Games Engineering
Prerequisites Bachelor Informatik: Games Engineering
Info Master Practical Informatik: Games Engineering
IN7106, 6 SWS, 10 ECTS
Deep Learning for 3D Perception (IN2106)
Lecturer Prof. Dr. Angela Dai
Studies Master Informatics
Prerequisites Introduction to Deep Learning; experience with deep learning frameworks (e.g., PyTorch); proficient in C++/Python. 3D Scanning & Motion Capture or Machine Learning for 3D Geometry is a plus.
Info IN2106, 6 SWS, 10 ECTS