NMAK16022U Partial Differential Equations (PDE)
Volume 2024/2025
Education
MSc Programme in Mathematics
MSc Programme in Mathematics with a minor subject
Content
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
Learning Outcome
Knowledge:
The properties of the PDEs covered in the course
Skills:
- Solve classical PDEs
- Establish existence, uniqueness and regularity of solutions to certain PDEs
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
Literature
See Absalon for a list of course literature
Recommended Academic Qualifications
A knowledge of real
analysis, Lebesgue measure theory, L^p spaces and basic theory of
Banach/Hilbert spaces, corresponding to at least the contents of
the following courses:
- Analyse 0 (An0), and
- Analyse 1 (An1), and
- Lebesgueintegralet og målteori (LIM)
- 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.
- Analyse 0 (An0), and
- Analyse 1 (An1), and
- Lebesgueintegralet og målteori (LIM)
- 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.
Teaching and learning methods
5 hours of lectures and 2
hours of exercises each week for 8 weeks
Remarks
After taking this course,
"PDE", in Block 1, note that one may naturally continue
with the next course in the string, "PDE2", which is
offered in the subsequent Block 2.
Workload
- Category
- Hours
- Lectures
- 40
- Preparation
- 146
- Exercises
- 16
- Exam
- 4
- Total
- 206
Feedback form
Written
Individual
Collective
Continuous feedback during the course of the semester
Feedback by final exam (In addition to the
grade)
Sign up
Self Service at KUnet
Exam
- Credit
- 7,5 ECTS
- Type of assessment
- On-site written exam, 4 hours under invigilation
- Aid
- All aids allowed
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
One internal examiner
- Re-exam
Same 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 limitation – unless you register in the late-registration period (BSc and MSc) or as a credit or single subject student.
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 (7-57567875756e7b49766a7d7137747e376d74)
- Artemis Aikaterini Vogiatzi (3-66667b457266796d33707a336970)
- Léo Morin (4-72766a734673677a6e34717b346a71)
Saved on the
22-08-2024