Course

Applied Mathematical Modelling and Analysis (PET933)

Facts

Course code PET933

Credits (ECTS) 10

Semester tution start Autumn

Language of instruction English

Number of semesters 1

Exam semester Autumn

Time table View course schedule

Literature Search for literature in Leganto

Introduction

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.

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.

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.

Required prerequisite knowledge

None

Recommended prerequisites

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

Exam

Oral exam and project assignment

Oral exam

Weight 2/5

Marks Passed / Not Passed

Project assignment

Weight 3/5

Marks Passed / Not Passed

Aid None permitted

Exam system Canvas

Course assessment: Individual 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. The duration of the oral project presentation should be 20 minutes. The duration of the oral examination will be approximately 30 minutes. No aids are allowed for the oral examination.

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.

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.

Open for

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

Course assessment

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.
The course description is retrieved from FS (Felles studentsystem). Version 1