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.
Workshops
Title | Semester |
Personal Roadmap for Career Orientation. What Skills Do I Have and Where Do I Want to Go? | Summer 2024 |
Performing Under Pressure (for women) | Summer 2024 |
Good Scientific Practice (course offer by KHYS) | Winter 2024 |
Getting started. The Path to a Successful Doctorate. | Winter 2024 |
Scientific Writing: What Makes a Good Paper and How to Write It | Winter 2024 |
... more General Competence? Check out the KHYS Further Education Program for Doctoral Researchers.
visit KHYSFor developing your teaching skills, have a look at the Baden-Württemberg Certificate for Teaching and Learning at University Level.
visit PEBATitle | Semester |
---|---|
Basics of Leadership in Science | WS 23/24 |
Getting started - the Path to a Successful Doctorate | WS 2023/24 |
Scientific Presenting | WS 23/24 |
Ethics in the Lab: A Workshop for Junior Scientists on How to Address Moral Challenges of Their Work (KHYS/ARRTI Offer) | SS 2023 |
Time- and Self management (KSQM offer) | WS 2022/23 |
Research Data Management (CyberSec offer in cooperation with KIT Library) | WS 2022/23 |
Good Scientific Practice for PhDs in April (KSQM offer) | SS 2023 |
Good scientific practice for PhDs in March (Cybersec offer) | WS 2022/23 |
Good Scientific Practice for PhDs in March (CuKnow offer) | WS 22/23 |
Good Scientific Practice for PhDs | WS 22/23 |
Getting started - the Path to a Successful Doctorate | WS 22/23 |
Basics of Science Communication | WS 22/23 |
Topical 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. The list is not conclusive - if you choose courses that are not listed here, please contact the lecturer and ask whether doctoral researchers are welcome in the course.
Title | Lecturer | Type | Semester |
---|---|---|---|
Seminar (Numerical and Statistical Aspects of Machine Learning) | Prof. Dr. Mathias Trabs |
Seminar (S) | WS 24/25 |
Seminar (Modeling, Algorithms, Simulation) | Prof. Dr. Martin Frank | Seminar (S) | WS 24/25 |
Title | Lecturer | Type | Semester |
---|---|---|---|
Statistical Learning | Dr. rer. nat. Bruno Ebner | Lecture (V) | SS 2024 |
Time Series Analysis | Prof. Dr. Tilmann Gneiting | Lecture (V) | SS 2024 |
Fluid Mechanics of Turbulent Flows | Prof. Dr.-Ing. Markus Uhlmann | Lecture / Practice (VÜ) | SS 2024 |
Parallel Programming Techniques for Engineering Problems | Prof. Dr.-Ing. Markus Uhlmann | Lecture / Practice (VÜ) | SS 2024 |
Seminar Knowledge Discovery and Data Mining (Master) | Dr.-Ing. Michael Färber Kristian Noullet Tarek Saier Nicholas Popovic Zhang Qu Chen Shao Dr.-Ing. Tobias Christof Käfer |
Seminar (S) | SS 2024 |
Constructive Logic | Prof. Dr. André Platzer | Lecture (V) | SS 2024 |
Satellite Climatology: Remote Sensing of a Changing Climate, Lecture | Prof. Dr. Jan Cermak | Lecture (V) | SS 2024 |
Social Choice Theory | Prof. Dr. Clemens Puppe | Lecture (V) | SS 2024 |
Seminar: Energy and Power Systems Optimization (Master) | Prof. Dr. Steffen Rebennack Dr. John Alasdair Warwicker |
Seminar (S) | SS 2024 |
Seminar: Trending Topics in Machine Learning and Optimization (Master) | Prof. Dr. Steffen Rebennack Dr. John Alasdair Warwicker |
Seminar (S) | SS 2024 |
Advanced Numerical Weather Prediction | Prof. Dr. Peter Knippertz | Lecture (V) | SS 2024 |
Predictive Data Analytics - An Introduction to Machine Learning | Dr. Sebastian Lerch |
Block course | Summer semester 2024 |
Introduction to High Performance Computing | Simon Raffeiner |
Block (B) | WS 23/24 |
Machine Learning in Climate and Environmental Sciences | TT-Prof. Dr. Peer Nowack | Lecture / Practice (VÜ) | WS 23/24 |
Seminar on Energy and Power Systems Optimization (Master) | Prof. Dr. Steffen Rebennack Dr. John Alasdair Warwicker |
Seminar (S) | WS 23/24 |
Knowledge Discovery and Graph Representation Learning | Dr.-Ing. Michael Färber | Lecture (V) | WS 23/24 |
Logical Foundations of Cyber-Physical Systems | Prof. Dr. André Platzer | Lecture (V) | WS 23/24 |
Machine Learning on Graphs (Master) | Chen Shao Dr.-Ing. Michael Färber |
Seminar (S) | WS 23/24 |
Probabilistic Time Series Forecasting Challenge | Johannes Bracher Nils Koster Dr. Sebastian Lerch |
Projekt (PRO) | WS 23/24 |
Stochastic Simulation | TT-Prof. Dr. Sebastian Krumscheid |
Lecture (V) | WS 23/24 |
Seminar on Trending Topics in Optimization and Machine Learning (Master) | Prof. Dr. Steffen Rebennack Dr. John Alasdair Warwicker |
Seminar (S) | WS 23/24 |
Semantic Web Technologies | Dr.-Ing. Michael Färber Dr.-Ing. Tobias Christof Käfer Christoph Braun |
Lecture (V) | SS 2023 |
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 23/24 |
Probabilistic Time Series Forecasting Challenge | Johannes Bracher Nils Koster Dr. Sebastian Lerch |
Projekt (PRO) | WS 23/24 |
Matching Theory | Dr. Danisz Okulicz | Lecture / Practice (VÜ) | WS 23/24 |
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.
October 8-11, 2024 at TRIANGEL
moreSeptember 11-12, 2024 on-site at KIT Campus South
Find more info and apply hereDeep Learning Workshop (Oct 5-6, on-site at TRIANGEL.space)
info and registrationSep 18-20, 2023 at KIT
Info and registrationKCDS X GRACE Crossover Workshop (Dec 2022, 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
moreScientific exchange and networking in the Black Forest.
more