General competence
"General competence" (3 CP) encompasses modules on interdisciplinary communication and cooperation, scientific writing and presentation techniques, good scientific practice, law, ethics, self-evaluation, and research data management.
... more General Competence? Check out the KHYS Further Education Program for Doctoral Researchers.
visit KHYS
For developing your teaching skills, have a look at the Baden-Württemberg Certificate for Teaching and Learning at University Level.
visit PEBATopical competence
"Topical competence" (6 CP) includes initial positioning with the supervisors, and from there compiling a tailored course program.
Below, you'll find a selection of seminars out of KIT's course catalog that are open to and explicitly welcoming the participation of KCDS Fellows.
| Title | Lecturer | Type | Semester |
|---|---|---|---|
| Social Choice Theory | Prof. Dr. Clemens Puppe | Lecture (V) | SS 2023 |
| Satellite Climatology: Remote Sensing of a Changing Climate | Prof. Dr. Jan Cermak | Lecture (V) | SS 2023 |
| Data Driven Engineering 2 | Dr. Cihan Ates | Lecture (V) | SS 2023 |
| Block course "Introduction to Machine Learning" | Dr. Sebastian Lerch |
Block course (on-site) | SS 2023 |
| Constructive Logic | Prof. Dr. André Platzer | Lecture (V) | SS 2023 |
| Seminar Knowledge Discovery and Data Mining (Master) | Dr.-Ing. Michael Färber Kristian Noullet Tarek Saier Nicholas Popovic Zhang Qu |
Seminar (S) | SS 2023 |
| Trending Topics in Optimization and Machine Learning | Prof. Dr. Steffen Rebennack John Alasdair Warwicker |
Seminar (S) | SS 2023 |
| Energy and Power Systems Optimization | Prof. Dr. Steffen Rebennack John Alasdair Warwicker |
Seminar (S) | SS 2023 |
| Parallel Programming Techniques for Engineering Problems | Prof. Dr.-Ing. Markus Uhlmann | Lecture / Practice (VÜ) | SS 2023 |
| Fluid Mechanics of Turbulent Flows | Prof. Dr.-Ing. Markus Uhlmann | Lecture / Practice (VÜ) | SS 2023 |
| Advanced Numerical Weather Prediction | Prof. Dr. Peter Knippertz | Lecture (V) | SS 2023 |
| Time Series Analysis | Dr. rer. nat. Bruno Ebner | Lecture (V) | SS 2023 |
| Statistical Learning | Prof. Dr. Mathias Trabs | Lecture (V) | SS 2023 |
| Intro to High Performance Computing | Simon Raffeiner |
Block (B) | WS 22/23 |
| Logical Foundations of Cyber-Physical Systems | Prof. Dr. André Platzer | Lecture (V) | WS 22/23 |
| Probabilistic Time Series Forecasting Challenge | Prof. Dr. Fabian Krüger Johannes Bracher Nils Koster Dr. Sebastian Lerch |
Projekt (PRO) | WS 22/23 |
| Interpretable Statistical and Machine Learning Models | Dr. Sebastian Lerch | Seminar (S) | WS 22/23 |
Cutting-edge knowledge
KCDS keeps doctoral researchers at pace with the rapid scientific progress in the field by topical summer schools with international lecturers. The summer schools are organized by the KCDS Fellows, with KCDS financial and organizational support.
Deep Learning Workshop (Oct 5-6, on-site at TRIANGEL.space)
info and registration
Sep 18-20, 2023 at KIT
Info and registration
KCDS X GRACE Crossover Workshop (Dec 12, on-site)
moreSelf-reliance
KCDS Fellows independently organize one retreat and one hackathon/datathon in their research duration for scientific exchange. Active participation in at least one of such events per year is mandatory and credited. This helps the participants in developing organizational and leadership skills, and is a good opportunity to practice presentation skills and get peer feedback for their project.
Scientific exchange and networking in the Black Forest, Nov 13-15, 2023
more
Scientific exchange and networking in the Black Forest.
more