- Trainer/in: Xudong Sun
- Trainer/in: Christian Frey
- Trainer/in: Moritz Große Wentrup
- Trainer/in: Alexander Markham
- Trainer/in: Matthias Schubert
- Trainer/in: Thomas Seidl
The
course gives an overview on basic concepts of data structures and
general principles of algorithmic design. The general algorithmic
paradigms will be examined based on the classical problems of searching,
sorting and classical graph problems like shortest path or minimal
spanning trees. Finally, the course will give an introduction to the
general methodology of programming.
- Trainer/in: Felix Borutta
- Trainer/in: Julian Busch
- Trainer/in: Yifeng Lu
- Trainer/in: Sebastian Schmoll
- Trainer/in: Matthias Schubert
- Trainer/in: Thomas Seidl
This course is centered around software design and systems development. We explore and apply the concept of object-oriented programming which is (still) the leading programming paradigm for extensive projects. In contrast to other programming paradigms like functional or declarative programming object-oriented programming languages model objects through their attributes and functionalities. This concept has proven convenient when modeling real-world problems.
- Trainer/in: Yifeng Lu
- Trainer/in: Matthias Schubert
TBA
- Trainer/in: Moritz Große Wentrup
- Trainer/in: Alexander Onopa
- Trainer/in: Sevag Kevork
The course content is currently available here.
- Trainer/in: Francois Bry
- Trainer/in: Andreas Butz
- Trainer/in: Yingding Wang
Statistical core module for Data Science.
- Trainer/in: Göran Kauermann
- Trainer/in: Michael Lebacher
- Trainer/in: Christoph Striegel