Teaching

The Institute of Analysis and Scientific Computing teaches all BSc, MSc, and PhD courses of Technical Mathematics at TU Wien that are related to the introduction to programming, basic analysis and calculus, functional analysis and operator theory, ordinary and partial differential equations, and numerical methods and simulation.

  • Check here for the lectures on Technical Mathematics of the current academic year.

Moreover, twice a year the institute offers the so-called "Angleichungskurs Mathematik", the preparatory mathematics course for students of all disciplines entering TU Wien.

We provide the mathematics curriculum for students of Technical Physics, Electrical Engineering, and Geoinformation and offer a variety of courses on numerical methods and simulation for students in diverse fields including Computer Science, Electrical Engieering and Geoinformation.

  • Check here for the service lectures of the current academic year.

Finally, we are also involved in the interdisciplinary MSc course „Computational Science and Engineering“ and the international MSc course „Interdisciplinary Mathematics“ (formerly named: „Mathematical Modelling in Engineering“) which is jointly offered together with the Università degli Studi dell’Aquila (Italy), the Universitat Autònoma de Barcelona (Spain), the University of Côte d’Azur at Nice (France), and the University of Hamburg (Germany). Starting with the study year 2021/22 this MSc course „Interdisciplinary Mathematics“ will be supported by the EU via the Erasmus Mundus program.

TUForMath — Forum Mathematik

Furthermore, members of the institute are actively contributing to TUForMath (head: Prof. Dr. Dirk PRAETORIUS), a popular science initiative of TU Wien jointly founded in 2018 by Prof. Dr. Joahnnes BÖHM, Prof. Dr. Michael DRMOTA, Prof. Dr. Alexia FÜRNKRANZ-PRSKAWETZ, and Prof. Dr. Dirk PRAETORIUS, that provides "hands-on" fun mathematics for pupils and shows the impact of mathematics on science and engineering as well as, perhaps less expected, on arts and culture, society and economics, and our daily life.

TU Best Teaching Awards

Every semester almost 30.000 students take more than 2.000 lectures at TU Wien. TU Wien is dedicated to giving its students the best possible education. With the Best Teaching Awards that have been introduced in 2017, TU Wien puts the spotlight on staff who particularly excel in this goal by awarding them with the Best Teacher Award (since 2017), the Best Lecture Award (2017—2019), or the Best Distance Teaching Award (since 2020)..

We are proud that at the Faculty of Mathematics and Geoinformation, colleagues of the Institute of Analysis and Scientific Computing were recipients of 8 out of the 10 awards. In particular, since 2017, all recipients of the Best Teacher Award were members of our institute. Many students participated in these award selection processes, and we thank them for this sign of esteem of our dedication to good teaching.

  • Best Teacher Award 2017 to Prof. Dr. Ewa WEINMÜLLER (ASC, Research Unit of Numerical Analysis)
  • Best Teacher Award 2018 to Prof. Dr. Peter SZMOLYAN (ASC, Research Unit of Analysis)
  • Best Lecture Award 2018 to Dr. Andreas KÖRNER (ASC, Research Unit of Modeling and Scientific Computing) for his lecture on „Mathematics 3 for Electrical Engineering“
  • Best Teacher Award 2019 to Prof. Dr. Winfried AUZINGER (ASC, Research Unit of Numerical Analysis)
  • Best Lecture Award 2019 to Prof. Dr. Dirk PRAETORIUS and Dr. Gregor GANTNER (ASC, Research Unit of Numerical Analysis) for their lecture on „Introduction to Programming for Technical Mathematics“
  • Best Teacher Award 2020 to Dr. Andreas KÖRNER (ASC, Research Unit of Modeling and Scientific Computing)
  • Best Distance Teaching Award 2020 to Prof. Dr. Ewa WEINMÜLLER (ASC, Research Unit of Numerical Analysis) and Dr. Andreas KÖRNER (ASC, Research Unit of Modeling and Scientific Computing) for their lecture on „Practical Analysis II for Technical Physicists“.
  • Best Teacher Award 2021 to Prof. Dr. Dirk PRAETORIUS (ASC, Research Unit of Numerical Analysis)