NMAK16022U Partial Differential Equations (PDE)
MSc Programme in Mathematics
MSc Programme in Mathematics with a minor subject
A selection from the following list of subjects:
The classical PDEs:
- Laplace's equation
- The heat equation
- The wave equation
Second order linear elliptic PDEs:
- Existence of weak solutions
- Regularity
- Maximum principles
Second order linear parabolic PDEs:
- Existence of weak solutions
- Regularity
- Maximum principles
Second order linear hyperbolic PDEs:
- Existence of weak solutions
- Regularity
- Propagation of singularities
Nonlinear PDEs:
- The Calculus of Variations
- Fixed point methods
- Method of sub-/supersolutions
- Non-existence of solutions
Knowledge:
The properties of the PDEs covered in the course
Competencies:
- Understand the characteristic properties of the different types of PDEs
- Understand concepts such as existence, uniqueness and regularity of solutions to PDEs
- Determine when a certain solution method applies
Skills:
- Solve classical PDEs
- Establish existence, uniqueness and regularity of solutions to certain PDEs
See Absalon for a list of course literature
- Analyse 0 (An0), and
- Analyse 1 (An1), and
- Lebesgueintegralet og målteori (LIM), or alternatively Analyse 2 (An2) from previous years.
- Advanced Vector Spaces (AdVec), which may be taken simultaneously with (PDEs), or alternatively Functional Analysis (FunkAn).
Having academic qualifications equivalent to a BSc degree is recommended.
- Category
- Hours
- Lectures
- 40
- Preparation
- 146
- Exercises
- 16
- Exam
- 4
- Total
- 206
- Credit
- 7,5 ECTS
- Type of assessment
- Written examination, 4 hours under invigilation
- Type of assessment details
- ---
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner.
- Re-exam
As ordinary exam.
If ten or fewer students have signed up for re-exam, the type of assessment will be changed to a 30 minutes oral exam with 30 minutes preparation time. All aids allowed during preparation time, none for the examination. Several internal examiners.
Criteria for exam assesment
The student should convincingly and accurately demonstrate the knowledge, skills and competences described under Intended learning outcome.
Course information
- Language
- English
- Course code
- NMAK16022U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 1
- Schedule
- B
- Course capacity
- No limit
The number of seats may be reduced in the late registration period
Study board
- Study Board of Mathematics and Computer Science
Contracting department
- Department of Mathematical Sciences
Contracting faculty
- Faculty of Science
Course Coordinators
- Niels Martin Møller (7-55547673736c794774687b6f35727c356b72)
- Alex Mramor (4-65707176447165786c326f7932686f)