Winter Term 22/23

Lectures | Seminars | Practical Courses

Lectures

Introduction to Informatics - Einführung in die Informatik, (IN0001)
Lecturer

Prof. Dr. Rüdiger Westermann

Studies Bachelor Informatics
Prerequisites None
Info IN0001, 4 SWS, 6 ECTS
Game Physics - Physikalische Grundlagen für Computerspiele (IN0037)
Lecturer

Prof. Dr. Nils Thuerey

Liwei Chen You Xie  Rene Winchenbach Felix Köhler

Studies Bachelor Games Engineering
Prerequisites Introduction to Informatics 1, Game Engine Design, Analysis
Info IN0037, 3 SWS, 6 ECTS
Visual Data Analytics - Wissenschaftliche Visualisierung (IN2026)
Lecturer

Prof. Dr. Rüdiger Westermann

Dr. Johannes Kehrer

Studies Computer Science, CSE, COME, Cartography
Prerequisites Introduction to Informatics 1, Analysis, Linear Algebra
Info IN2026, 4 SWS, 5 ECTS
Image Synthesis - Bildsynthese (IN2015)
Lecturer Prof. Dr. Rüdiger Westermann
Studies Computer Science, Game Engineering
Prerequisites Realtime Computer Graphics
Info IN2015, 4 SWS, 5 ECTS, on-campus + live streaming + moodle
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

Introduction to Deep Learning - Einführung in Deep Learning (IN2346)
Lecturer Prof. Dr. Angela Dai
Studies Master Informatics
Prerequisites Passion for mathematics and the use of machine learning in order to solve complex computer vision problems. The course will be focused on practical projects, therefore, previous knowledge of a programming language, preferably Python, is desired
Info IN2346, 4 SWS, 6 ECTS

Seminars

Seminar – Deep Learning in Computer Graphics (IN2107, IN0014)
Lecturer Nils ThuereyLiwei Chen ,Benjamin Holzschuh ,

Studies

Master Informatics

Prerequisites Introduction to Deep Learning
Info

IN2107, IN0014, 2 SWS, 4 ECTS 

Seminar - Deep Learning in Physics (IN2107, IN0014)
Lecturer Nils Thuerey, Nilam Tathawadekar , Shuvayan Brahmachary
Studies Master Informatics
Prerequisites Introduction to Deep Learning
Info

IN2107, IN0014, 2 SWS, 4 ECTS

Master-Seminar -  3D Machine Learning (IN2107)
Lecturer Prof. Dr. Angela Dai
Studies Master Informatics
Prerequisites

Basic understanding of geometry is desirable

Info IN2107, 2 SWS, 4 ECTS

Practical Courses

Computer Games Laboratory: (IN7106, IN710615)
Lecturer Prof. Dr. Nils Thuerey, Erik Franz, Georg Kohl
Studies Informatics: Games Engineering
Prerequisites Bachelor Games Engineering
Info IN7106, IN710615, 6 SWS, on-campus and online
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