# About this Lecture

###### tags: `SciML-Lecture`

Welcome to the 2nd edition of the *Introduction to Scientific Machine Learnign for Engineers* in the winter semester 2022/2023! We are looking forward to a hopefully great semester, and to excite as many of you as possible for Scientific Machine Learning.

The course breaks down into an introduction to the topic, followed by 4 core content blocks which are interspersed with practice problems while being supported by JuPyter notebook-based tutorials for the practical application of the learned concepts.

### Lecturers

- Nikolaus A. Adams
- Artur Toshev ([e-mail])
- Ludger Paehler ([e-mail])

> Questions should preferably be posted in the Moodle, or else be sent to Artur Toshev & Ludger Paehler.

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<img src="https://i.imgur.com/o5xkcru.png" alt="drawing" width="400"/>
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