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Høst 2025

TEK-8502 Applied Spline Theory - 5 stp


The course is administrated by

Institutt for datateknologi og beregningsorienterte ingeniørfag

Type of course

This course might be canceled under certain conditions, i.e. less than five people. This will be considered before the start of the course. For other information, contact the director of studies.

Deadline for application: June 1st for the autumn semester.

Who has to apply for admission?

• PhD students at UiT that wishes to take a PhD level course which is not going to be a part of the PhD degree they study for at UiT.

• PhD students from other institutions than UiT.

• Applicants that has achieved a master’s degree (five year master or three year bachelor degree + two year master degree), but isn’t a PhD student.


Course contents

The objective of the course is to give candidates a thorough understanding of splines, physical background, implementations, properties and how to use splines. The students will get a thorough introduction to spline methods for modelling of curves and surfaces, with emphasis on both the mathematical theory and practical methods.

Key-words include, but is not limited to, divided differences, Hermite splines, cubic spline interpolation, B-splines, knots and junctions, the Cox-deBoor algorithm, matrix notation, knot insertion and -removal, degree raising, interpolation, approximation, data fitting, B-spline curves and surfaces, and NURBS.

The course focuses on constructions of surfaces in engineering.


Admission requirements

General admission requirements for the PhD program in Engineering Science at UiT the Arctic University of Norway.

Obligatory prerequisites

END-3607 Geometric Modelling

Objective of the course

Knowledge:

After passing the course, the student is expected to be able to:

Skills:

After passing the course, the student is expected to be able to:

General competence:

After passing the course, the student is expected to be able to:


Language of instruction

English

Teaching methods

Lectures, guided self-study, paper- and article writing, and programming tasks.