Current Courses

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

Summer semester 2025

Advanced Topics in Numerical Analysis Discontinuous Galerkin Methods Lecture, module V5E5 — Prof. Gedicke.
Advanced Topics in Numerical Methods in Science and Technology Control Systems and Reinforcement Learning Lecture, module V5E1 — Prof. Garcke.
Advanced Topics in Scientific Computing Optimality of Adaptive Finite Element Methods Lecture, module V5E3 — Prof. Gantner.
Beispiele der Mathematik (nicht nur) in der Musik Analysis, Näherungsverfahren und Anwendungen in Physik, Grafik und Musik Seminar, module S1G1 — Prof. Burstedde.
Einführung in die Numerische Mathematik Lecture, module V2E2 — Prof. Verfürth.
Graduate Seminar on Efficient Simulation Randomized sketching algorithms Graduate seminar, module S5E2 — Prof. Dölz.
Graduate Seminar on Numerical Simulation Graduate seminar, module S4E2 — Prof. Neitzel.
Graduate Seminar on Numerical Simulation Machine Learning for Medical Imaging Graduate seminar, module S5E1 — Prof. Griebel.
Hauptseminar Numerik Seminar, module S2E1 — Prof. Gedicke.
Numerical Simulation High-dimensional approximation Lecture, module V4E2 — Prof. Dölz.
Practical Lab Numerical Simulation Algorithms in Machine Learning and Their Application Practical Lab, module P2E1/P4E1 — Dr. Bohn, Prof. Garcke.
Scientific Computing II Detailed information provided on Ecampus Lecture, module V3E2 — Prof. Neitzel.
Selected Topics in Scientific Computing Parallel adaptive mesh refinement Lecture, module V5E4 — Prof. Burstedde.

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 I Lecture, module B41 — Prof. Rumpf.
Ingenieurmathematik III Lecture, module M43 — Dr. Lenz.
Ingenieurmathematik (Master) Lecture, module M22 — 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.