Summer Term 2022

Lectures | Seminars | Practical Courses

Lectures

Geometric Modelling and Visualization (MSE) (IN8013)
Lecturer Prof. Angela Dai PhD
Studies Munich School of Engineering
Prerequisites Einführung in die Informatik 1/2 für Ingenieure, Mathematik I und II, Computer Aided Modeling of Products and Processes
Info IN8013, 3 SWS, 5 ECTS
Realtime Computer Graphics (IN0038 & IN0039)
Lecturer Dr. Matthäus Chajdas, AMD
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

3D Scanning & Motion Capture (IN2354)
Lecturer Prof. Dr. Angela Dai
Studies Master Informatics
Prerequisites Introduction to Informatics I, Analysis, Linear Algebra, Computer Graphics, C++
   
Info

IN2354, 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

Deep Learning in Physics (IN2107, IN0014)
Lecturer Prof. Dr. Nils Thuerey
Studies Computer Science, Informatik: Games Engineering
Prerequisites Introduction to Informatics I, Analysis, Linear Algebra, Game Physics and Introduction to Deep Learning recommended
Info

Deep learning methods for physically-based simulations of fluids and elastic materials

IN2107, IN0014, 2 SWS, 5 ECTS

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. Thuerey
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