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SD1105 Matlab 3.0 credits

Administer About course

Introduction

MATLAB is an interactive program library for numerical computation and visualisation. MATLAB has become a standard tool in research and engineering, and is used in many courses at KTH. The course aims to provide general understanding of MATLAB as a programming language and give necessary experience for courses using MATLAB as a learning tool. Students graduating from the course shall be able to, starting from a given technical situation and given mathematical formulas, to plan, program, present and defend a solution to a mechanical problem using MATLAB.

 

Implementation

The course is a self-study course. You work with the course material and MATLAB either at a KTH computer room or at home. You can download MATLAB at KTH Software Download. There are no scheduled lectures or labs, but tutor support is provided, when needed. Since it is a self-study course then you can start the course whenever you like during the academic year. See the description below how to get started.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus SD1105 (Autumn 2007–)
Headings with content from the Course syllabus SD1105 (Autumn 2007–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

Learning outcomes:

The course should introduce and practice programming in MATLAB. After the course the students should  based on given models and mathematical formulations, primarily from engineering mechanics, plan, program and present a solution to a technical problem using a MATLAB program.

Course material

The study material to this course can be found and downloaded in the "Files" folder of this Canvas page. The following three files are available:

  1. "MatlabNotes_v3.pdf" A compendium titled "An Introduction to MATLAB" by David F Griffiths at the Dept of Mathematics, The University of Dundee. With additional material by Ulf Carlsson, KTH. The compendium "An Introduction to MATLAB" is the main course literature. 
  2. "SD1105 Collection of exercises.pdf" is a Collection of exercises "Miscellaneous exercises in MATLAB" written mainly by Ulf Carlsson, some exercises contributed by other KTH teachers.  The collection of exercises "Miscellaneous exercises in MATLAB" contains more than 70 examples to work with.
  3. "SD1105_Data_files_for_exercises.zip" are the zipped files for the exercises in the "SD1105 Collection of exercises.pdf"

You should prepare by doing the recommended exercises and reading the lecture notes from the course material provided above.

Examination

Once you have familiarized yourself with Matlab by coding a sufficent amount of the recommedned exercises you should perform the Quiz on the Canvas-page and when passed contact the examinator who will hand you a final exercise. When you have coded the final exercise and submitted it to the examinator feedback will be provided and if passed a final Zoom examination will be scheduled.

 

Contact information:

Course responsible and Examinator of this course is Karl Bolin, contact information: kbolin@kth.se

 

Course contents

The course is a teacher-assisted self-study course in computing and programming language MATLAB. The course is examined by an oral presentation of a solution to a programming assignment. The assignment considers a realistic technical problem that a third year student is able to solve with a full understanding of related mathematical, numerical and mechanical aspects. In that respect the problem descriptions provides a descriptive (qualitative) introduction to these courses. The programming assignment shall further illustrate the model concept in a practical virtual simulation task and the results will have to be a realistic solution for a typical engineering task to further highlight and stimulate continuing studies.

Intended learning outcomes

The course aims to provide a general understanding of MATLAB as a programming language.

Students graduating from the course shall be able to:

  • Starting from a given technical situation and given mathematical formulas, to plan, program, present and defend a solution to a mechanical problem using MATLAB.

Literature and preparations

Specific prerequisites

Basic course in linear algebra.

Recommended prerequisites

Before you start the course you should have basic knowledge in Linear algebra.

Literature

Griffiths, D. F. (2001). An Introduction to MATLAB. With additional material by Ulf Carlsson, KTH. The University of Dundee.

Carlsson, U. (2009). Miscellaneous exercises in MATLAB. KTH Aeronautical and Vehicle Engineering.

Examination and completion

Grading scale

P, F

Examination

  • TEN1 - Assignment, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

If the course is discontinued, students may request to be examined during the following two academic years.

Other requirements for final grade

Oral defence of a solution to an assignment (3 HP)

Examiner

Profile picture Karl Bolin

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

SCI/Aeronautical and Vehicle Engineering

Main field of study

Technology

Education cycle

First cycle

Supplementary information

The course can be taken at any time during the academic year.

The course cannot be counted towards the KTH degree (BSc & MSc) if students have other courses or course components where Matlab is used or examined. Examples of courses this applies to are SF1516, SF1522 or similar courses in Numerical Analysis.