Fundamentals of Numerical Thermo-Fluid Dynamics
| Credits | 4 SWS, 4 ECTS |
| Contact | Surendran, Aswathy |
| Sessions | Tuesdays , 9 a.m. until approx.4 p.m. |
| Room | MW 1701, afterwards computer lab MW 0704 |
| Term | Summer semester 2022 |
|---|---|
| Language of instruction | English |
Admission information
See TUMonline
Note: If you want to get on the waiting list, please eMail to Aswathy Surendran surendran@tfd.mw.tum.de and show up for the first meeting. Experience shows that lab courses are heavily overbooked, so chances are good that you can participate if you are on the waiting list.
Note: If you want to get on the waiting list, please eMail to Aswathy Surendran surendran@tfd.mw.tum.de and show up for the first meeting. Experience shows that lab courses are heavily overbooked, so chances are good that you can participate if you are on the waiting list.
Description
– The practical course ”Numerical Thermo-Fluids - From Differential Equations to Deep Learning” teaches knowledge of the most important numerical algorithms as well as the principles of good programming.
– Besides classical numerical approaches, the participants will get to know the basic principles of machine learning and deep learning.
– Advantages and disadvantages of different methods will be discussed, enabling a differentiated interpretation and critical evaluation of numerical results. The algorithms will be implemented by the participants in the programming environment MATLAB, dealing with exemplary problems in the field of thermo-fluid dynamics and heat transfer.
– Besides classical numerical approaches, the participants will get to know the basic principles of machine learning and deep learning.
– Advantages and disadvantages of different methods will be discussed, enabling a differentiated interpretation and critical evaluation of numerical results. The algorithms will be implemented by the participants in the programming environment MATLAB, dealing with exemplary problems in the field of thermo-fluid dynamics and heat transfer.
Prerequisites
Successful completion of the lectures Advanced Mathematics 1,2,3, Thermodynamics I, Heat Transport Phenomena and Mathematical Tools.
Teaching and learning methods
– Lectures, supervised completion of numerical problems in groups of two.
– Each course chapter will be presented in an introductory lecture, which will cover the theoretical background and give tips for practical implementation. Afterwards students will work in groups of two on exemplary problems under the supervision of a TFD associate.
– After completing the last chapter, students will define a final project (in groups of two). Each group will work independently on their respective problem for approximately one month. A TFD associate will assist with any upcoming problems and questions. Results of
the final projects will be presented to all participants of the practical course (written report and presentation).
– Each course chapter will be presented in an introductory lecture, which will cover the theoretical background and give tips for practical implementation. Afterwards students will work in groups of two on exemplary problems under the supervision of a TFD associate.
– After completing the last chapter, students will define a final project (in groups of two). Each group will work independently on their respective problem for approximately one month. A TFD associate will assist with any upcoming problems and questions. Results of
the final projects will be presented to all participants of the practical course (written report and presentation).