Introduction in Matlab, 2 credits (TSRT04)

Introduktionskurs i Matlab, 2 hp

Possible deviation from course syllabus/programme syllabus

Main field of study

No Main Field of Study

Level

First cycle

Course type

Programme course

Examiner

Emil Björnson

Director of studies or equivalent

Klas Nordberg
Course offered for Semester Period Timetable module Language Campus VOF
6CDDD Computer Science and Engineering, M Sc in Engineering 4 (Spring 2017) 2 1 Swedish Linköping v
6CMED Biomedical Engineering, M Sc in Engineering 4 (Spring 2017) 1 2 Swedish Linköping o
6IKEA Chemical Analysis Engineering, B Sc in Engineering 4 (Spring 2017) 2 1 Swedish Linköping v
6CMJU Computer Science and Software Engineering, M Sc in Engineering 6 (Spring 2017) 1 2 Swedish Linköping v
6CITE Information Technology, M Sc in Engineering 2 (Spring 2017) 1 2 Swedish Linköping v
6IELK Engineering Electronics, B Sc in Engineering 2 (Spring 2017) 2 1 Swedish Linköping o
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French 2 (Spring 2017) 1 2 Swedish Linköping o
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish 2 (Spring 2017) 1 2 Swedish Linköping o
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German 2 (Spring 2017) 1 2 Swedish Linköping o
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese 2 (Spring 2017) 1 2 Swedish Linköping o
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese 2 (Spring 2017) 1 2 Swedish Linköping o
6IDAT Computer Engineering, B Sc in Engineering (Software Engineering) 4 (Spring 2017) 2 1 Swedish Linköping v
6IDAT Computer Engineering, B Sc in Engineering (Embedded Systems) 4 (Spring 2017) 2 1 Swedish Linköping v

Main field of study

No Main Field of Study

Course level

First cycle

Advancement level

G1X

Course offered for

  • Computer Science and Engineering, M Sc in Engineering
  • Biomedical Engineering, M Sc in Engineering
  • Chemical Analysis Engineering, B Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Engineering Electronics, B Sc in Engineering
  • Physics, Bachelor´s Programme
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Computer Engineering, B Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Linear algebra, Programming

Intended learning outcomes

MATLAB is a software for scientific computations that is used internationally by many engineers. The course intends to give a basic knowledge of MATLAB and practical experience of working with the software. Particular focus it put on the ability to perform basic computations and simulations, as well as visualising simulation results. The course can both be seen as a preparation to a large number of university courses where Matlab is used, and as a possibility to learn a powerful engineering software. After completing this course, the student is expected to be able to:

  • use Matlab as a calculator both for scalars and matrices.
  • use elementary functions and define variables.
  • construct simple scripts and functions.
  • use control structures (if-statements, for- and while-loops) in simple examples.
  • visualise results of computations and data sets by self-explaining graphics.
  • use the help system to learn new functions.

Course content

Interactive computations. Introduction to programming in MATLAB, using elementary methods. Advantages in documentation and comments to code. Plots and visualisation of computational results. Numerical calculations in linear algebra, (e.g. to solve linear equation systems). Solving basic engineering problems by dividing these into subproblems.

Teaching and working methods

The course consists of lectures and computer exercises.

Examination

LABAComputer exerciseU, G2 credits
Computer-based lab sessions, consisting of a smaller plot assignment and a slightly larger project assignment. These are solved in groups of two students and presented orally. Individual quiz and oral discussion of the quiz. Reexaminations is usually by following the lab course the next time the course is given (HT1, VT1 or VT2)
Grades are given as ‘Fail’ or ‘Pass’.

Grades

Two-grade scale, U, G

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Emil Björnson

Education components

Preliminary scheduled hours: 16 h
Recommended self-study hours: 37 h

Course literature

Additional literature

Compendiums

Additional literature

Compendia

Download

LABA Computer exercise U, G 2 credits
Computer-based lab sessions, consisting of a smaller plot assignment and a slightly larger project assignment. These are solved in groups of two students and presented orally. Individual quiz and oral discussion of the quiz. Reexaminations is usually by following the lab course the next time the course is given (HT1, VT1 or VT2)
Grades are given as ‘Fail’ or ‘Pass’.

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LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

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