Introduction in Matlab, 2 credits

Introduktionskurs i Matlab, 2 hp

TSRT04

Main field of study

No Main Field of Study

Course level

First cycle

Course type

Programme course

Examiner

Emil Björnson

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 16 h
Recommended self-study hours: 37 h
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Chinese 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, French 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, German 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Japanese 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering, Spanish 2 (Spring 2017) 1 2 Swedish Linköping, Valla C
6CMED Biomedical Engineering, M Sc in Engineering 4 (Spring 2017) 1 2 Swedish Linköping, Valla C
6IKEA Chemical Analysis Engineering, B Sc in Engineering 4 (Spring 2017) 2 1 Swedish Linköping, Valla E
6IDAT Computer Engineering, B Sc in Engineering (Embedded Systems) 4 (Spring 2017) 2 1 Swedish Linköping, Valla E
6IDAT Computer Engineering, B Sc in Engineering (Software Engineering) 4 (Spring 2017) 2 1 Swedish Linköping, Valla E
6CDDD Computer Science and Engineering, M Sc in Engineering 4 (Spring 2017) 2 1 Swedish Linköping, Valla E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 6 (Spring 2017) 1 2 Swedish Linköping, Valla E
6IELK Engineering Electronics, B Sc in Engineering 2 (Spring 2017) 2 1 Swedish Linköping, Valla C
6CITE Information Technology, M Sc in Engineering 2 (Spring 2017) 1 2 Swedish Linköping, Valla E

Main field of study

No Main Field of Study

Course level

First cycle

Advancement level

G1X

Course offered for

  • Biomedical Engineering, M Sc in Engineering
  • Chemical Analysis Engineering, B Sc in Engineering
  • Computer Science and Engineering, M 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
  • Physics, Bachelor´s Programme
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Engineering Electronics, B 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 exercise2 creditsU, G
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

Course website and other links

http://www.commsys.isy.liu.se/sv/student/kurser/TSRT04

Education components

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

Course literature

Additional literature

Compendia

Code Name Scope Grading scale
LABA Computer exercise 2 credits U, G
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’.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

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. 

Additional literature

Compendia

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
LABA

                            
1.2 Fundamental engineering knowledge (G1X level)
X
LABA

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
LABA

                            
2.2 Experimentation, investigation, and knowledge discovery

                            
2.3 System thinking

                            
2.4 Attitudes, thought, and learning
X
X
LABA

                            
2.5 Ethics, equity, and other responsibilities

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork
X
LABA

                            
3.2 Communications
X

                            
3.3 Communication in foreign languages

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing
X
LABA

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

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