Current Courses

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

Winter semester 2024/25

Advanced Topics in Numerical Analysis Mixed Finite Element Methods Lecture, module V5E5 — Prof. Gedicke.
Einführung in die Grundlagen der Numerik Lecture, module V2E1 — Prof. Verfürth.
Graduate Seminar on Numerical Analysis Space-time methods Graduate seminar, module S5E1 — Prof. Gantner.
Graduate Seminar on Numerical Simulation Uncertainty quantification of PDE with random input data Seminar, module S4E2 — Prof. Dölz.
Graduate Seminar on PDE Analysis and Computation of Optimal Transport Graduate seminar, module S4B2 — Prof. Rumpf.
Graduate Seminar on Scientific Computing Adaptive Finite Element Methods Graduate seminar, module S4E1 — Prof. Gedicke.
Hauptseminar Numerik Seminar, module S2E1 — Prof. Neitzel.
Ingenieurmathematik (Master) Lecture, module M22 — Dr. Lenz.
Ingenieurmathematik I Lecture, module B41 — Prof. Rumpf.
Ingenieurmathematik III Lecture, module M43 — Dr. Lenz.
Mathematik III für Physiker*innen Lecture, module math341 — Dr. Bohn.
Numerical Algorithms Uncertainty quantification of PDE with random input data Lecture, module V4E1 — Prof. Dölz.
Practical Lab Advanced Scientific Computing Efficient & User-friendly Parallel Implementation of Finite Difference Methods Practical Lab, module P4E2 — Prof. Schweitzer.
Practical Lab Numerical Simulation Programming Methods in Scientific Computing Practical Lab, module P4E1 — Prof. Schweitzer.
Programmierpraktikum Numerische Algorithmen Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens Practical Lab, module P2E1 — Prof. Schweitzer.
Vorkurs Mathematik (Hauptfach) Lecture — Dr. Bohn.
Wissenschaftliches Rechnen I Scientific Computing I Lecture, module V3E1 — Prof. Neitzel.

Summer semester 2024

Advanced Topics in Numerical Analysis Boundary Integral Equations and Boundary Element Methods Lecture, module V5E5 — Prof. Gantner.
Advanced Topics in Numerical Methods in Science and Technology Hybrid High-Order Methods Lecture, module V5E1 — Prof. Gedicke.
Algorithmische Mathematik II Lecture, module (MB)V1G6 — Prof. Verfürth.
Einführung in die Numerische Mathematik Lecture, module V2E2 — Prof. Rumpf.
Graduate Seminar on Numerical Simulation High-dimensional quadrature methods Graduate seminar, module S4E2 — Prof. Griebel.
Graduate Seminar on Scientific Computing Adaptive Finite Element Methods Graduate seminar, module S4E1 — Prof. Gedicke.
Hauptseminar Numerik Diskretisierung optimalen Transports Seminar, module S2E1 — Prof. Rumpf.
Ingenieurmathematik II Lecture, module B42 — Dr. Lenz.
Mathematik II für Physiker*innen Lecture, module math241 — Dr. Bohn.
Numerical Simulation Scalable and high performance computing Lecture, module V4E2 — Prof. Burstedde.
Practical Lab Numerical Algorithms Algorithms in Machine Learning and Their Application Practical Lab, module P2E1/P4E1 — Prof. Garcke, Dr. Bohn.
Practical Lab Numerical Simulation Scalable techniques for PDE solution Practical Lab, module P4E1 — Prof. Burstedde.
Wissenschaftliches Rechnen II Scientific Computing II Lecture, module V3E2 — Prof. Garcke.

Winter semester 2023/24

Advanced Topics in Numerical Analysis Geometric Calculus in Shape Spaces and its Discretization Lecture, module V5E5 — Prof. Rumpf.
Advanced Topics in Scientific Computing Optimality of AFEM Lecture, module V5E3 — Prof. Gedicke.
Algorithmische Mathematik I Lecture, module V1G5/MB06 — Prof. Verfürth.
Einführung in die Grundlagen der Numerik Lecture, module V2E1/MB10 — Prof. Neitzel.
Graduate Seminar on Efficient Simulation Parallel Algorithms for Adaptive Mesh Refinement Seminar, module S5E2 — Prof. Burstedde.
Graduate Seminar on Numerical Analysis Graduate seminar, module S5E1 — Prof. Neitzel.
Graduate Seminar on Numerical Analysis Space-time methods Graduate seminar, module S5E1 — Prof. Gantner.
Graduate Seminar on Numerical Simulation Machine Learning methods for manifold embeddings Seminar, module S4E2 — Prof. Rumpf.
Graduate Seminar on Numerical Simulation Mathematical Modeling of Infectious Diseases Seminar, module S4E2 — Dr. Kühn.
Graduate Seminar on Numerical Simulation Machine Learning for Operators Graduate seminar, module S4E2 — Prof. Griebel.
Graduate Seminar on Scientific Computing Adaptive Finite Element Methods Seminar, module S4E1 — Prof. Gedicke.
Hauptseminar Wissenschaftliches Rechnen Seminar, module S2E2 — Prof. Dölz.
Ingenieurmathematik (Master) Lecture, module M21 — Dr. Lenz.
Ingenieurmathematik I Lecture, module B41 — Dr. Kiesel.
Ingenieurmathematik III Lecture, module B43 — Prof. Rumpf, Dr. Lenz.
Lecture Series: "Frontiers in Economics and Mathematics" Lecture — Prof. Dölz, Prof. Rumpf.
Numerical Algorithms Techniques for the Numerical Solution of PDEs Lecture, module V4E1 — Prof. Burstedde.
Parallel-skalierbares Maschinelles Lernen Parallel-skalierbares Maschinelles Lernen Practical Lab, module P2E1 — Dr. Rüttgers.
Practical Lab Advanced Scientific Computing Efficient & User-friendly Parallel Implementation of Finite Difference Methods Practical Lab, module P4E2 — Prof. Schweitzer.
Practical Lab Numerical Simulation Abstract high-level finite element models with FEniCS(x) Practical Lab, module P4E1 — Dr. Lenz.
Practical Lab Numerical Simulation Programming Methods in Scientific Computing Practical Lab, module P4E1 — Prof. Schweitzer.
Programmierpraktikum Numerische Algorithmen Einführung in die Programmiermethoden des Wissenschaftlichen Rechnens Practical Lab, module P2E1 — Prof. Schweitzer.
Scalable Machine Learning Scalable Machine Learning Practical Lab, module P4E1 — Dr. Rüttgers.
Wissenschaftliches Rechnen I / Scientific Computing I Lecture, module V3E1/F4E1 — Prof. Dölz.