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        • 2024 | Career Talk with KIT Alumni: From Computational and Data Science to Industry and Academia
      • Workshops | Summer Schools | Hackathons
        • Workshops | Summer Schools | Hackathons
        Workshops | Summer Schools | Hackathons
        • 2025 | KCDS Summer School on Neural Operators and Gaussian Processes
        • 2022 | KCDS X GRACE Crossover Workshop: Data and Models in Climate and Environmental Sciences
        • 2023 | Deep Learning Workshop with Adit Radhakrishnan
        • 2023 | KCDS Summer School on Stochastic and Hybrid Modelling
        • 2024 | RainQuest Hackathon
        • 2024 | KCDS Workshop on Data Processing and Data Assimilation
        • 2025 | Taking Reproducibility to Action - Workshop with Prof. Victoria Stodden
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    KIT Graduate School Computational and Data Science | KCDSKCDS Logo

     

    • Startpage
    • Supervision and Curriculum
    • Course program 2024/5

     

    • Home
      • KCDS
      • Join KCDS
      • Supervision and Curriculum
      • People
      • Projects
      • Events
    • Supervision and Curriculum
      • Concept for Supervision and Curriculum
      • Course program 2024/5
      • Benefits for members
    • Course program 2024/5
    • General competence
    • Topical competence
    • Cutting-edge knowledge
    • Self-reliance

    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 in 2025/2026

    Title Semester
    Good Scientific Practice (online) - in cooperation with CRC Wave Phenomena Winter 2024/25
    Unconscious Bias - From Awareness to Action - in cooperation with Karlsruhe School of Quantum Matter (KSQM) Winter 2024/25
    Career Perspectives outside of academia - in cooperation with CRC Wave Phenomena (to be determined)
    Interdisciplinary collaboration - in cooperation with ENZo Summer 2025
    Getting started with your PhD Winter 2025/26

     

    Karlsruhe House of Young Scientists
    KHYS Further Education Program

    ... more General Competence? Check out the KHYS Further Education Program for Doctoral Researchers.

    visit KHYS
    Certificate for Teaching and Learning at University Level
    Teaching Qualifications

    For developing your teaching skills, have a look at the Baden-Württemberg Certificate for Teaching and Learning at University Level.

    visit PEBA

    Archive: Past workshops and seminars (2024)

    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

     

    Archive: Past workshops and seminars (2022-2023)
    Title 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.

    Lectures and seminars - 2024/25
    Title Lecturer Type Semester
    Introduction to High Performance Computing Dr.-Ing. Samuel Braun
    Dr. René Caspart
    Block (B) SS 2025
    Seminar (Modeling, Algorithms, Simulation) Prof. Dr. Martin Frank Seminar (S) WS 24/25
    Seminar (Numerical and Statistical Aspects of Machine Learning)

    Prof. Dr. Mathias Trabs
    TT-Prof. Dr. Sebastian Krumscheid
    Prof. Dr. Martin Frank

    Seminar (S) WS 24/25
    Lectures and seminars - 2023/24
    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
    Lectures and seminars - 2022/23
    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.

    RainQuest Hackathon Logo
    RainQuest Hackathon 2024

    October 8-11, 2024 at TRIANGEL

    more
    Symbolic picture for unsorted data by Kier in Sight Archives (Unsplash)
    KCDS Workshop on Data Processing and Data Assimilation 2024

    September 11-12, 2024 on-site at KIT Campus South

    Find more info and apply here

    Past workshops and events

    KCDS background
    Recent Advances in Kernel Methods for Neural Networks

    Deep Learning Workshop (Oct 5-6, on-site at TRIANGEL.space)

    info and registration
    KCDS Summer School 2023
    KCDS Summer School 2023

    Sep 18-20, 2023 at KIT

    Info and registration
    KCDS/GRACE 'Pcess609/stock.adobe.com'
    Data and Models in Climate and Environmental Sciences

    KCDS X GRACE Crossover Workshop (Dec 2022, on-site)

    more

    Self-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.

    View of the Guterbrunnenweg in Black Forest qwesy qwesy, CC BY 3.0, wikicommons
    KCDS Retreat 2025

    Scientific exchange and networking in the Black Forest, Nov 10-12, 2025

    more
    View from the Lotharpfad Angela Hühnerfuß
    KCDS Retreat 2024

    View of the lake Sankenbach in the Black Forest from above qwesy qwesy, CC BY 3.0 via Wikimedia Commons
    KCDS Retreat 2023

    Scientific exchange and networking in the Black Forest, Nov 13-15, 2023

    more
    Retreat - Scenic hike in the Black Forest KIT
    KCDS Retreat 2022

    Scientific exchange and networking in the Black Forest.

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