Current Courses

Below is a list of the most recent lectures, seminars and practical labs offered by this institute.

Winter semester 2026/27

Numerical Algorithms Mixed, non-conforming and discontinuous methods Lecture, module V4E1 — Prof. Verfürth.

Summer semester 2026

Advanced Topics in Numerical Analysis Mixed Finite Element Methods Lecture, module V5E5 — Prof. Gedicke.
Advanced Topics in Numerical Methods in Science and Technology Efficient Treatment of Nonlocal Operators Lecture, module V5E1 — Prof. Dölz.
Advanced Topics in Scientific Computing Mathematics of Machine Learning and Shape Space Theory Lecture, module V5E3 — Prof. Rumpf.
Algorithmische Mathematik II Algorithmische- und Programmierausbildung Lecture, module V2G5 — Prof. Burstedde.
Einführung in die Numerische Analysis (bisher: Einführung in die Numerische Mathematik) Lecture, module V2E2 — Prof. Garcke.
Graduate Seminar on Efficient Simulation Graduate seminar, module S5E2 — Prof. Neitzel.
Graduate Seminar on Numerical Analysis Machine Learning for Medical Imaging Graduate seminar, module S5E1 — Prof. Griebel.
Graduate Seminar on Numerical Simulation High Performance Computing: Adaptive Meshing Algorithms Graduate seminar, module S4E2 — Prof. Burstedde.
Graduate Seminar on Scientific Computing Adaptive Finite Element Methods Graduate seminar, module S4E1 — Prof. Gedicke.
Hauptseminar Numerik Seminar, module S2E1 — Prof. Dölz.
Ingenieurmathematik II Lecture, module B42 — Dr. Lenz.
Numerical Simulation Lecture, module V4E2 — Prof. Neitzel.
Practical Lab Numerical Simulation Algorithms in Machine Learning and Their Application Practical Lab, module P2E1/P4E1 — Dr. Bohn, Prof. Garcke.
Seminar Ausgewählte Themen der Numerischen Mathematik Seminar, module S1G1 — Prof. Gedicke.
Wissenschaftliches Rechnen II / Scientific Computing II Numerical methods for parabolic PDEs Lecture, module V3E2 — Prof. Verfürth.

Winter semester 2025/26

Advanced Topics in Numerical Methods in Science and Technology Hybrid High-Order Methods Lecture, module V5E1 — Prof. Gedicke.
Advanced Topics in Scientific Computing Fast kernel methods Lecture, module V5E3 — Prof. Dölz.
Algorithmische Mathematik I Algorithmische- und Programmiergrundausbildung Lecture, module V1G5 — Prof. Burstedde.
Einführung in die Numerische Lineare Algebra (bisher: Einführung in die Grundlagen der Numerik) Lecture, module V2E1 — Prof. Schweitzer.
Graduate Seminar on Efficient Simulation Numerical methods in quantum computing Seminar, module S5E2 — Prof. Dölz.
Graduate Seminar on Numerical Analysis Machine Learning for Medical Imaging Graduate seminar, module S5E1 — Prof. Griebel.
Graduate Seminar on Numerical Simulation Graduate seminar, module S4E2 — Prof. Neitzel.
Graduate Seminar on Scientific Computing Adaptive Finite Element Methods Graduate seminar, module S4E1 — Prof. Gedicke.
Hauptseminar Wissenschaftliches Rechnen Finite-Elemente-Methode Seminar, module S2E2 — Prof. Gantner.
Ingenieurmathematik I Lecture, module B41 — Prof. Rumpf.
Ingenieurmathematik III Lecture, module B43 — Dr. Lenz.
Ingenieurmathematik (Master) Lecture, module M22 — Dr. Lenz.
Numerical Algorithms Lecture, module V4E1 — Prof. Neitzel.
Practical Lab Numerical Simulation Programming Methods in Scientific Computing Practical Lab, module P4E1 — Dr. Bohn.
Programmierpraktikum Numerische Algorithmen Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens Practical Lab, module P2E1 — Dr. Bohn.
Wissenschaftliches Rechnen I / Scientific Computing I Lecture, module V3E1 — Prof. Verfürth.