Pre-requisite modules
Co-requisite modules
- None
Prohibited combinations
Pre-requisite modules: MSc Mathematical Sciences students: knowledge of Vector calculus and elementary complex function theory.
Occurrence | Teaching cycle |
---|---|
A | Autumn Term 2022-23 |
A partial differential equation (PDE) is a differential equation that contains an unknown function and its partial derivatives. PDEs are used to describe a wide range of natural processes. Examples include fluid mechanics, elasticity theory, electrodynamics, quantum mechanics, etc. PDEs also play an important role in other areas of mathematics such as analysis and differential geometry.
The aim of this course is to give an introduction to the basic properties of PDEs and to the basic analytical techniques to solve them.
At the end of the module students should:
Syllabus
Academic and graduate skills
Academic skills: the techniques taught are used in many areas of pure and applied mathematics.
Graduate skills: through lectures, examples, classes, students will develop their ability to assimilate, process and engage with new material quickly and efficiently. They develop problem solving-skills and learn how to apply techniques to unseen problems. Students on this module will learn to work more independently and assimilate advanced material at a greater rate than those on the H-level variant.
Task | Length | % of module mark |
---|---|---|
Closed/in-person Exam (Centrally scheduled) Partial Differential Equations I |
2 hours | 100 |
None
Task | Length | % of module mark |
---|---|---|
Closed/in-person Exam (Centrally scheduled) Partial Differential Equations I |
2 hours | 100 |
Current Department policy on feedback is available in the student handbook. Coursework and examinations will be marked and returned in accordance with this policy.
W.A.Strauss, Partial Differential Equations. An Introduction. John Wiley & Sons. 1992.