Syllabus for |
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| MVE355 - Programming and numerical methods using Matlab |
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| Syllabus adopted 2014-02-13 by Head of Programme (or corresponding) |
| Owner: TIMAL |
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7,5 Credits |
| Grading: TH - Five, Four, Three, Not passed |
| Education cycle: First-cycle |
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Major subject: Computer Science and Engineering
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Department: 11 - MATHEMATICAL SCIENCES
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Teaching language: Swedish
| Course module |
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Credit distribution |
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Examination dates |
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Sp1 |
Sp2 |
Sp3 |
Sp4 |
Summer course |
No Sp |
| 0111 |
Examination |
4,0 c |
Grading: TH |
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4,0 c
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30 May 2016 am L, |
08 Apr 2016 am L, |
26 Aug 2016 pm L |
| 0211 |
Laboratory |
3,5 c |
Grading: UG |
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3,5 c
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In programs
TIMAL MECHANICAL ENGINEERING, Year 1 (compulsory)
TIEPL ECONOMICS AND MANUFACTURING TECHNOLOGY, Year 1 (compulsory)
Examiner:
Univ lektor
Katarina Blom
Replaces
LMT864
Programming
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 course in mathematics as LMA018 or LMA400.
Aim
The course aims to teach basic programming and some numerical methods using Matlab. The course is divides into two parts. The first part deals with the basics of programming. Important concepts such as data types, variables, control structures and subprograms (functions) are presented. The second part of the course focuses on numerical methods. Methods for numerical integration, solving some nonlinear functions, systems of linear equations and differential equations are presented.
Learning outcomes (after completion of the course the student should be able to)
* Be able to independently construct (well structured) programs in Matlab.
* Describe and use the most important concepts and commands in Matlab.
* Describe and use some algorithms for numerical integration, solving nonlinear functions, solving systems of linear equations and differential equations.
* Use the tools for graphics and visualization in Matlab.
Content
* Data types and variables, control structures, functions and m-files
* Vectors and Matrices in Matlab
* Graphics and Visualization in Matlab
* Easy file management in Matlab
* Some algorithms in numerical analysis: Solving nonlinear equations, numerical integration, solution of differential equations and matrix computations.
Organisation
The course consists of lectures and laborations.
Literature
See course homepage.
Examination
A written exam and mandatory laborations. Grading U,3,4,5