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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
MVE080 - Scientific visualization  
 
Syllabus adopted 2014-02-13 by Head of Programme (or corresponding)
Owner: MPENM
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: First-cycle
Major subject: Mathematics
Department: 11 - MATHEMATICAL SCIENCES

This course round is cancelled

Cancelled
Teaching language: English
Open for exchange students

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0105 Written and oral assignments 7,5 c Grading: TH   7,5 c    

In programs

MPCAS COMPLEX ADAPTIVE SYSTEMS, MSC PROGR, Year 2 (elective)
MPENM ENGINEERING MATHEMATICS AND COMPUTATIONAL SCIENCE, MSC PROGR, Year 2 (elective)

Examiner:

Univ lektor  Thomas Ericsson



  Go to Course Homepage

Eligibility:

In order to be eligible for a first cycle course the applicant needs to fulfil the general and specific entry requirements of the programme(s) that has the course included in the study programme.

Course specific prerequisites

Basic courses in mathematics, numerical analysis,
programming and data structures. Basic Matlab programming.
This is an introductory course so no
prior knowledge of computer graphics is required.

Aim

The aim of this course is to provide an overview of
the tools and techniques of scientific visualization.

Learning outcomes (after completion of the course the student should be able to)

* think in visualization terms
* produce insightful graphics in a number of common and important cases
* use advanced Matlab graphics
* construct graphical user interfaces in Matlab
* use ParaView to some extent
* make simple use of OpenGL and GeoGebra

Content

The solution of computational problems with the help of computers
often generate large data sets. This course deals with how
computer graphics can be used to visualize data in order to
give a better understanding of the problem and its solution.

In simple cases the solution can perhaps be represented as a curve.
More complicated problems have solutions in the form of surfaces or
volumes, maybe even time dependent.
Many mathematical problems may not generate so large data sets
but require an understanding of more than three dimensions.

The course contains the following parts:
Different techniques for visualizing surfaces, volumes and other
common mathematical objects.
Animation. Interaction.
An orientation about the construction of user interfaces. Advanced Matlab graphics. ParaView and briefly about OpenGL and GeoGebra.
Computer graphics concepts, such as transformations and shading
models, necessary to use and understand the graphics software.

Organisation

Lectures and computer assignments. The assignments, which make up a substantial part of the course, consist of several problems where the student will solve different visualization problems.
The problems are fetched from numerical analysis
and applied mathematics.
Please see the course homepage for more information.

Literature

Lecture notes, articles and manuals.

Examination

Compulsory computer assignments and take-home exam.


Page manager Published: Thu 04 Feb 2021.