Applied Mathematics deals with the development of analytical and numerical mathematical concepts and methods that can (potentially) be applied to treat questions from other scientific disciplines. This includes mathematical modelling of problems in the life, natural, and engineering sciences and the analytical and/or numerical treatment of the resulting, usually nonlinear, systems of differential equations and optimization problems. Also the efficient implementation for computer simulations is covered.
From the mathematical perspective, particularly methods from analysis (theory of partial differential equations, functional analysis, theory of dynamical systems, regularity analysis, calculus of variations, ...), methods from numerics (discretization methods, convergence analysis, a priori and a posteriori error estimation, model reduction, ...) as well as the development and mathematical analysis of efficient algorithms are employed.
Depending on the focus, connections to other mathematical areas abound, e.g. differential geometry, functional analysis, and stochastics. In addition to the mathematical focus it is possible to write the thesis in close collaboration with groups from the application side, e.g. biology and medicine in Münster.
Prerequisites
Specialisation Applied Analysis
Basic courses on ordinary and partial differential equations, covering:
Fundamentals of ordinary differential equations, Gauß' theorem, examples of partial differential equations, method of characteristics and differential equations of first order, elliptic partial differential equations and weak formulation, Sobolev spaces, parabolic differential equations
Specialisation Numerics and Scientific Computing
Basic courses on numerical analysis and programming courses, covering:
Fundamentals of iterative methods to solve linear systems of equations, Newton method, fundamentals of ordinary differential equations, fundamentals of programming, a basic understanding of partial differential equations, weak and strong formulations, Gauß' theorem, Sobolev spaces
This page presents the plan at the time of writing for the courses in future semesters. Please note that this plan is subject to change, and courses may be dropped, added, or modified in reaction to currently unforeseen events.
Courses for the specialisation in Applied Analysis (AA) and Numerics and Scientific Computing (SC)
Winter semester 2024/2025
Dr. Stefan Rave: Model Order Reduction (Type I, II, SC)
Prof. Dr. Christian Seis: Partial differential equations (Type I, II, AA)
Prof. Dr. Theresa Simon: Calculus of Variations (Type I, II, AA)
Dr. Frank Wübbeling: Inverse Problems (Type I, II, SC)
Summer semester 2024
Prof. Dr. Mario Ohlberger: Numerical methods for partial differential equations II (Type I, II, SC)
Prof. Dr. André Schlichting: Nonlinear partial differential equations (Type I, AA)
Prof. Dr. Theresa Simon: Asymptotic methods in the calculus of variations: Introduction to Gamma convergence (Type I, II, AA)
Prof. Dr. Angela Stevens: Dynamical Systems (Type I, II, AA)
Dr. Frank Wübbeling: Numerical Optimization (Type I, SC)
Winter semester 2023/2024
Prof. Dr. Christian Engwer: Scientific Computing (Typ I, II, SC)
Prof. Dr. Marlies Pirner: Partial Differential Equations of Mathematical Physics (Type I, II, AA)
Prof. Dr. Theresa Simon: Calculus of Variations (Type I, II, AA)
Prof. Dr. Angela Stevens: Mathematical Modeling and Analysis (Type I, II, AA)
Prof. Dr. Benedikt Wirth: Inverse Problems (Type I, II, AA, SC)
Prof. Dr. Carsten Wolters: Modern Applied Mathematics in Bioelectromagnetism (Type I or II, SC)
Prof. Dr. Catherina Zeppieri: Regularity theory for elliptic PDEs (AA, Typ I, II)
Summer semester 2023
Prof. Dr. Christian Engwer: Numerical Methods for Partial Differential Equations II (Type I, SC)
Prof. Dr. Marlies Pirner: Kinetic Transport Theory of dilute gases (Type II, AA)
Prof. Dr. Christian Seis: Harmonic Analysis (Type I, AA)
Prof. Dr. Angela Stevens: Nonlinear PDEs (Type I, AA)
Dr. Frank Wübbeling: Numerical Optimization (Type I, SC)
Prof. Dr. Carsten Wolters: Modern Applied Mathematics in Bioelectromagnetism (Type I or II, SC)
Prof. Dr. Caterina Zeppieri: Variational Methods in Materials Science (Type I, AA)
Winter semester 2022/2023
Prof. Dr. Christian Engwer: Scientific Computing (Type I, SC)
Prof. Dr. Christian Seis: Introduction to Mathematical Fluid Dynamics" (Type I, II, AA)
Prof. Dr. Theresa Simon: Calculus of Variations (Type I, II, AA)
Prof. Dr. Benedikt Wirth: Shape spaces - theory and numerics (Type I, AA, SC)
Prof. Dr. Carsten Wolters: Modern Applied Mathematics in Bioelectromagnetism (Type I or II, SC), 2+1 SWS, to be continued in the summer semester
Dr. Frank Wübbeling: Inverse Problems (Type I, II, AA, SC)
Seminars
Winter semester 2024/2025
Prof. Dr. Mario Ohlberger / Dr. Stefan Rave: Advanced numerical methods and applications (SC)
Prof. Dr. Marlies Pirner: Partial Differential Equations for gases and plasmas (AA)
Prof. Dr. Christian Seis: Topics in Mathematical Fluid Dynamics (AA)
Summer semester 2024
Prof. Dr. Mario Ohlberger, Dr. Stephan Rave: Advanced numerical methods and applications
Prof. Dr. Marlies Pirner: Partial Differential Equations of Mathematical Physics
Prof. Dr. Benedikt Wirth: Mathematical Optimization
Winter semester 2023/2024
Prof. Dr. Mario Ohlberger: Advanced numerical methods and applications (SC)
Prof. Dr. André Schlichting: Dynamics of complex systems (AA)
Prof. Dr. Christian Seis: Topics in mathematical fluid dynamics (AA)
Prof. Dr. Angela Stevens: Current Research in PDE and Applications (AA)
Prof. Dr. Benedikt Wirth: Mathematical Optimaztion (AA, SC)
Prof. Dr. Catherina Zeppieri: Advanced topics in the Calculus of Variations (AA)
Summer semester 2023
Prof. Dr. Mario Ohlberger, Dr. Stephan Rave: Advanced Numerical Methods and Applications
Prof. Dr. André Schlichting: Topics in the dynamics of complex systems
Prof. Dr. Christian Seis: Topics in Mathematical Fluid Dynamics
Prof. Dr. Theresa Simon: Variational Methods for PDEs
Prof. Dr. Angela Stevens: Partial Differential Equations. Theory and Mathematical Modelling
Prof. Dr. Caterina Zeppieri: Regularity of Elliptic PDEs
Winter semester 2022/2023
Prof. Dr. Christian Engwer: Scientific Computing (SC)
Prof. Dr. Mario Ohlberger & Dr. Stephan Rave: Advanced Numerical Methods and Applications (SC)
Prof. Dr. Christian Seis: Topics in Mathematical Fluid Dynamics (AA)
Prof. Dr. Angela Stevens: Theory and Applications of PDE (AA)
Prof. Dr. Benedikt Wirth: Mathematical Optimization: Shapes & Shape Spaces (AA, SC)
Seminars for AA and SC are always courses of type II. The seminars in both specialisations can in principle also be used as "first course" in the module "Specialisation Supplement and Research Skills".
Further information
Each research group has a different focus
RG Applications of partial differential equations (Prof. Engwer)
RG Machine learning and stochastic analysis (Prof. Jentzen)
RG Numerical analysis and scientific computing (Prof. Ohlberger)
Prof. Dr. Marlies Pirner
RG Mathematical fluid dynamics (Prof. Seis)
RG Applied Analysis (Prof. Simon)
RG Nonlinear partial differential equations (Prof. Stevens)
RG Mathematical optimization (Prof. Wirth)
RG Analysis and modelling (Prof. Zeppieri)
On the webpages of these research groups you will find further information about lectures, seminars, master theses etc.
Module representatives
Prof. Dr. Mario Ohlberger (SC)
Prof. Dr. Angela Stevens (AA)