MathSEE Graduate School MathSEED
The graduate school MathSEED supports doctoral researcher in facing the challenges of interdisciplinary research. It opens and renders existing courses and also offers additional formats targeting interdisciplinary questions. Courses are open for master students as well.

Intensive week long trainings in small groups with full supervision by trained scientists and credit points..
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offer an excellent opportunity to advance your knowledge through shorter, topical workshops and advance your contacts
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Browse through the course programs offered by graduate programs belonging to large coordinated research projects associated with MathSEED
MoreUpcoming MathSEED Events
- MathSEED Fusion (2 days intensive workshop)
June 2023, exchange between coordinated research programs within MathSEED
- KIT Open Day (1 day event)
17 June 2023 (10h - 19h), KIT Campus North, MathSEED members will showcase their research and interact with the general public
- MathSEE Symposium (3 days event)
October 2023, KIT Mathematics Building: Focus on young researchers and MathSEED
Particularly at the beginning of an interdisciplinary doctoral research project, it might be necessary to extent one's knowledge in other fields. The following selection of existing courses at KIT are meant to provide orientation as to which courses are suitable to gain solid knowledge in the respective discipline. Most of which are lectures with excercises. The language of the title indicates the language of the course. We would very much appreciate further recommendations and comments.
Title | Information |
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Medical Imaging Techniques I | |
Medical Imaging Techniques II | |
Electromagnetics and Numerical Calculation of Fields | On-Site |
Methods of Signal Processing | Blended (On-Site/Online) |
Nonlinear Control Systems | |
Optical Waveguides and Fibers | On-Site |
Optimal Control and Estimation | |
Optimization of Dynamic Systems | |
Technical Optics | On-Site |
Title | Type | Semester | Place |
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Queering Media Theory: Women in Computation III | SS2020 |
Title | Type | Semester | Place |
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Die Kunst, nichtlineare Gleichungen zu lösen | Vorlesung (V) | SS 2021 | tba |
Nonlinear optimization methods | Exam (PR) | WS 22/23 |
Title | Information |
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Exam on General Meteorology | |
Introduction to Synoptic Meteorology | |
Climatology |