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​Use the search function to search amongst programmes at Chalmers. The study programme and the study programme syllabus relating to your studies are generally from the academic year you began your studies.

Syllabus for

Academic year
TME265 - Preparatory course in Matlab
 
Syllabus adopted 2013-02-19 by Head of Programme (or corresponding)
Owner: MPAME
3,0 Credits
Grading: UG - Fail, pass
Education cycle: First-cycle
Major subject: Mathematics
Department: 42 - APPLIED MECHANICS


Teaching language: English
Block schedule: X

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0113 Project 3,0 c Grading: UG   3,0 c    

In programs

MPPDE PRODUCT DEVELOPMENT, MSC PROGR, Year 1 
MPPEN PRODUCTION ENGINEERING, MSC PROGR, Year 1 
MPSES SUSTAINABLE ENERGY SYSTEMS, MSC PROGR, Year 1 
MPSYS SYSTEMS, CONTROL AND MECHATRONICS, MSC PROGR, Year 1 
MPTSE INDUSTRIAL ECOLOGY, MSC PROGR, Year 1 
MPNAV NAVAL ARCHITECTURE AND OCEAN ENGINEERING, MSC PROGR, Year 1 
MPAEM MATERIALS ENGINEERING, MSC PROGR, Year 1 
MPAME APPLIED MECHANICS, MSC PROGR, Year 1 
MPAUT AUTOMOTIVE ENGINEERING, MSC PROGR, Year 1 

Examiner:

Docent  Håkan Johansson


Course evaluation:

http://document.chalmers.se/doc/f4a0d791-ab8e-40e9-9e70-e046be66c5a9


Eligibility:

For single subject courses within Chalmers programmes the same eligibility requirements apply, as to the programme(s) that the course is part of.

Course specific prerequisites

To give students with no previous experience of Matlab sufficient skills to independently solve programming problems in courses at masters level in the Mechanical Engineering field.

Aim

BSc degree in Mechanical Engineering field or the same prerequisites as the Master's programme the student attends.

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

  • Use Matlab as a tool to solve and numerically analyze engineering problems in subsequent courses.


  • Develop own programs from problem descriptions.


  • Interpret and extend existing Matlab programs.


  • Learn more by actively using Matlab in other situations.


Content

Variables, scalar, vectors and matrices in MATLAB. Predefined variables and functions. Characters and strings. Scripts and function files. Programming: Program development, algorithms, abstraction, pseudo code, conditional statement, loops, logical and relation operators, debugging, program structure, program comments, efficiency, read from and write to file, solution of linear systems of equations, graphs, visualization, numerical and symbolic math.

Organisation

Lectures and computer classes.

Literature

No formal literature, but a few suggested readings will be given.

Examination

A hand-in comprising a set of problems is given a Pass or Fail grade.


Page manager Published: Mon 28 Nov 2016.