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 |