This course page describes the lecture of Sommersemester 2023. It is will be held next time in Sommersemester 2025. See list of other semesters.

Aim and Subject

The goal is to provide a solid understanding of how 3D digital models are generated and represented as a requirement for applying deep learning methods and analyzing surface properties for running simulations. Deep learning with 3D data, reconstruction from images or sensors, simulations on surfaces, and procedural modeling: In this course, you will practice processing meshes with machine learning algorithms, run simulations, and generate entire cities procedurally.

The following topics will be treated in this course among others: Polygonal Meshes, Curves and Surfaces Representations and Properties, Reconstruction of 3D Models from Scans, Parametrization, Simulations on Surfaces, and Procedural Modeling

Time and Place

Usually* Tuesdays 13:00-14:30 in the Seminar room FAV 05 (Favoritenstrasse 9, Stiege I, 5th Floor, room HA0503).

*except introduction and lecture on 18.04., which is already at 10:00-12:00 and in FAV 01A (Favoritenstrasse 9, Stiege I, 1st floor, room HE0102).

Schedule for the course 2023

*Thursday 09.03.2023, 15:30-17:00 Introduction

for the remaining lecture dates please see the TISS-Page.


The announcements and discussion forums, as well as information regarding the assignments, are available on the TUWEL-Page.

For any urgent or other communication, please contact the organizer of the course, Stefan Ohrhallinger.