Module 24-M-ND-ANPDE Advanced Topics for Numerics of PDEs

Faculty

Person responsible for module

Regular cycle (beginning)

Every winter semester

Credit points and duration

10 Credit points

For information on the duration of the modul, refer to the courses of study in which the module is used.

Competencies

Non-official translation of the module descriptions. Only the German version is legally binding.

Students master advanced content and methods of numerics for partial differential equations, in particular they can independently carry out very complex proofs in this area requiring a high level of mathematical expertise. They expand their knowledge of how partial differential equations are solved with the help of computers and can apply this knowledge to other problems (parabolic equations, fluid problems or non-linear PDEs). They learn both the theoretical tools for the corresponding error analysis and how to carry out simulations on the computer themselves.

Students will be introduced to current research questions in the area of Numerics of PDE. They are able to recognise and assess further development opportunities and research goals.
Furthermore, students recognise further-reaching connections to mathematical issues that have already been worked out. They can transfer and apply the knowledge and methods they have learnt so far to deeper mathematical problem areas. Students also expand their mathematical intuition as a result of more intensive study.
In combination with other in-depth modules, they will be able to write their own research papers, e.g. a master's thesis in the field of Numerics of PDE.
In the tutorials, students develop their ability to discuss mathematical topics and thus further prepare themselves for the requirements of the Master's module, in particular for the scientific discussion within the Master's seminar presentation and the defence of their Master's thesis.

Content of teaching

Further teaching content from the area of numerics of PDEs are, for example:

  • Optimality of the adaptive finite element method
  • Numerical approximation of linear parabolic PDEs
  • flow problems
  • Adaptivity for linear time-dependent PDEs
  • Approximation of semilinear PDEs
  • Approximation of non-linear PDEs (e.g. Navier-Stokes equations)

This module prepares the content of a master's thesis.

Recommended previous knowledge

Solid knowledge of the numerics of partial differential equations (24-M-ND-INPDE)

Necessary requirements

Explanation regarding the elements of the module

Module structure: 1 SL, 1 bPr 1

Courses

Lecture Advanced Topics for Numerics of PDEs
Type lecture
Regular cycle WiSe
Workload5 60 h (60 + 0)
LP 2 [Pr]
Tutorials Advanced Topics for Numerics of PDEs
Type exercise
Regular cycle WiSe
Workload5 90 h (30 + 60)
LP 3 [SL]

Study requirements

Allocated examiner Workload LP2
Teaching staff of the course Tutorials Advanced Topics for Numerics of PDEs (exercise)

Regular completion of the exercises, each with a recognisable solution approach, as well as participation in the exercise groups for the module's lecture. As a rule, participation in the exercise group includes presenting solutions to exercises twice after being asked to do so as well as regular contributions to the scientific discussion in the exercise group, for example in the form of comments and questions on the proposed solutions presented. The organiser may replace some of the exercises with face-to-face exercises.

see above see above

Examinations

e-written examination o. written examination o. e-oral examination o. oral examination
Allocated examiner Teaching staff of the course Lecture Advanced Topics for Numerics of PDEs (lecture)
Weighting 1
Workload 150h
LP2 5

(electronic) written examination in presence of usually 120 minutes, oral examination in presence or remote of usually 40 minutes, A remote electronic written examination is not permitted.

The module is used in these degree programmes:

Degree programme Profile Recom­mended start 3 Duration Manda­tory option 4
Mathematical Economics / Master of Science [FsB vom 28.02.2025] Mathematics 2. o. 3. one semester Compul­sory optional subject
Mathematical Economics / Master of Science [FsB vom 28.02.2025] Economics 2. o. 3. one semester Compul­sory optional subject
Mathematics / Master of Science [FsB vom 28.02.2025] 2. o. 3. one semester Compul­sory optional subject

Automatic check for completeness

The system can perform an automatic check for completeness for this module.


Legend

1
The module structure displays the required number of study requirements and examinations.
2
LP is the short form for credit points.
3
The figures in this column are the specialist semesters in which it is recommended to start the module. Depending on the individual study schedule, entirely different courses of study are possible and advisable.
4
Explanations on mandatory option: "Obligation" means: This module is mandatory for the course of the studies; "Optional obligation" means: This module belongs to a number of modules available for selection under certain circumstances. This is more precisely regulated by the "Subject-related regulations" (see navigation).
5
Workload (contact time + self-study)
SoSe
Summer semester
WiSe
Winter semester
SL
Study requirement
Pr
Examination
bPr
Number of examinations with grades
uPr
Number of examinations without grades
This academic achievement can be reported and recognised.