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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
MVE355 - Programming and numerical methods using Matlab
 
Syllabus adopted 2014-02-13 by Head of Programme (or corresponding)
Owner: TIMAL
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: First-cycle
Major subject: Computer Science and Engineering
Department: 11 - MATHEMATICAL SCIENCES


Teaching language: Swedish

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0111 Examination 4,0c Grading: TH   4,0c   30 May 2016 am L,  08 Apr 2016 am L,  26 Aug 2016 pm L
0211 Laboratory 3,5c Grading: UG   3,5c    

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


Page manager Published: Thu 04 Feb 2021.