Course

Applied Mathematical Modelling and Analysis (PET933)

The course introduces methods for deriving and analyzing mathematical models of systems and processes within science and engineering. The course focuses on the development of approximate solutions to problems in physics and engineering by the use of dimensional analysis, scaling and perturbation methods.


Dette er emnebeskrivelsen for studieåret 2025-2026. Merk at det kan komme endringer.

Fakta

Emnekode

PET933

Vekting (stp)

10

Semester undervisningsstart

Autumn

Undervisningsspråk

English

Antall semestre

1

Vurderingssemester

Autumn

Content

The main contents of the course are:

  • Dimensional analysis and the Pi-theorem
  • Non-dimensionalization and scaling
  • Regular and singular perturbation theory
  • Fixed points, stability and bifurcations in nonlinear dynamical systems
  • Derivation and analysis of partial differential equations from conservation principles

The course will focus on the development and analysis of mathematical models, as well on how these models can be used to motivate, design and interpret experiments. Throughout the course, example problems from classical mechanics and/or fluid mechanics will be used to illustrate the application of both analytical and numerical methods. Examples may include mechanical vibrations of slender structures, population (predator-prey) models, advection and diffusion processes, or general viscous flows in two-dimensional geometries.

Learning outcome

Upon successful completion of the course, the student will be able to:

  • Apply conservation principles to derive mathematical models of a wide range of physical systems and processes,
  • Use dimensional analysis and scaling to analyze and simplify models,
  • Solve mathematical models using regular and singular perturbation techniques, as well as numerical methods,
  • Actively use mathematical models to design experiments and analyze measurements.

Forkunnskapskrav

Ingen

Anbefalte forkunnskaper

Basic knowledge of physics and mathematics, including statistics. Basic knowledge of numerical methods is recommended.

Exam

Form of assessment Weight Duration Marks Aid
Oral exam 2/5 Passed / Not Passed
Project assignment 3/5 Passed / Not Passed None permitted


Course assessment: Project report and oral project presentation (60%), followed by oral examination based on the course curriculum (40%). The oral project presentation may adjust the initial evaluation of the written project report.

All parts of the assessment must be passed in order to get a final grade in the course.

No re-take or continuation will be granted for the course report. Candidates that do not pass the regular assessment of the report, may instead make a new report the next time the course is offered.

Fagperson(er)

Head of Department:

Øystein Arild

Course coordinator:

Hans Joakim Skadsem

Method of work

Lectures, voluntary exercises and a mandatory, individual project assignment. The topic for the individual projects will be agreed between course responsible and candidate, and may be linked to the PhD project of the candidate. The outcome of the project will be a short project report and presentation.

Åpent for

Single Course Admission to PhD-courses Technology and Natural Science - PhD programme

Emneevaluering

There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1