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This is the study programme for 2019/2020. It is subject to change.


Distributions, Fourier transform, Green's functions, applications to differential equations.

Learning outcome

Be familiar with some differential equations that model physical processes. Understand the notion of a distribution and be able to operate with elementary distributions. Be acquainted with the notion of a Green's function and its applications to solving ordinary and partial differential equations. Get operational knowledge of the Fourier transform for functions and distributions. Be able to solve certain differential equations with the help of the Fourier transform.

Contents

Distributions, Fourier transform, Green's functions, applications to differential equations.

Required prerequisite knowledge

None.

Recommended previous knowledge

MAT100 Mathematical Methods 1, MAT200 Mathematical Methods 2, MAT210 Real and Complex Calculus, MAT300 Vector Analysis, MAT320 Differential Equations

Exam

Weight Duration Marks Aid
Written exam1/14 hoursA - FBasic calculator specified in general exam regulations.
Compilation of mathematical formulae (Rottmann).

Course teacher(s)

Course coordinator
Paul Francis de Medeiros
Course teacher
Paul Francis de Medeiros
Head of Department
Bjørn Henrik Auestad

Method of work

5-6 hours lecturing and problem solving per week.

Open to

Master studies at the Faculty of Science and Technology.

Course assessment

Use evaluation forms and/or conversation for students' evaluation of the course and teaching, according to current guidelines.

Literature

Textbook: "Mathematical Modeling" by Paul Papatzacos (freely available on Canvas).


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 17.06.2019