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    KIT Graduate School Computational and Data Science | KCDSKCDS Logo

     

    • Startpage
    • Supervision and Curriculum
    • Course program 2022/23

     

    • Home
      • KCDS
      • Join KCDS
      • Supervision and Curriculum
      • People
      • Projects
      • Events
    • Supervision and Curriculum
      • Course program 2022/23
      • Benefits for doctoral researchers
    • Course program 2022/23
    • 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 and seminars
    Title Semester
    Basics of Leadership in Science WS 23/24
    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
    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

    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.

    Lectures and seminars
    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.

    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 12, 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 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.

    more
    last change: 2023-09-11
    KIT – The Research University in the Helmholtz Association
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