course-details-portlet

TMA4305

Partial Differential Equations

Choose study year
Credits 7.5
Level Second degree level
Course start Autumn 2024
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

The course provides a thorough introduction to the mathematical theory of partial differential equations, both the classical theory of Laplace, Cauchy, Fourier, Gauss etc. and the modern theory based on functional analytic methods. Topics covered are first order equations, Cauchy's problems, characteristics, linear second-order equations, classification, boundary value problems for elliptic equations, perimeter and initial value problems for hyperbolic and parabolic equations, fundamental solutions, maximum principles, weak solutions and functional analytic methods.

Learning outcome

1. Knowledge. The student masters the basic principles and methods for the analysis of partial differential equations, including first-order equations, Cauchy's problems, characteristics, linear second-order equations, classification, boundary value problems for elliptic equations, boundary and initial value problems for hyperbolic and parabolic equations, fundamental solutions, maximum principles, weak solutions and functional analytic methods. 2. Skills. The student is able to apply the techniques to study specific examples, understand the proofs and apply central proof techniques of related problems.

Learning methods and activities

Lectures and exercises. Students are free to choose Norwegian or English for written assessments.

Further on evaluation

Retake of examination may be given as an oral examination.

The retake exam will be held in August.

Course materials

Will be announced at the start of the course.

Credit reductions

Course code Reduction From
SIF5088 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Mathematics
  • Technological subjects

Contact information

Course coordinator

Department with academic responsibility

Department of Mathematical Sciences