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Introduction to MATLAB - ELE00112M

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  • Department: Electronic Engineering
  • Module co-ordinator: Dr. Martin Robinson
  • Credit value: 10 credits
  • Credit level: M
  • Academic year of delivery: 2018-19

Module summary

The purpose of this module is to provide an introduction to MATLAB as an industry standard tool for a wide variety of engineering applications.

Module will run

Occurrence Teaching cycle
A Autumn Term 2018-19

Module aims

Subject content aims:

  • To demonstrate how MATLAB can be used to solve a range of engineering problems

Graduate skills aims:

  • To introduce MATLAB as a tool for technical computing

Module learning outcomes

Subject content learning outcomes

After successful completion of this module, students will be able to:

  • Undertake arithmetic on scalars, vectors and matrices

  • Create 2D and 3D plots of mathematical functions and data

  • Carry out Monte-Carlo simulations

  • Solve a number of signal processing problems

Graduate skills learning outcomes

After successful completion of this module, students will be able to:

  • Write MATLAB functions and scripts to solve engineering problems

Module content

Through this module, you will learn about:

The MATLAB Environment; the command window; scalar arithmetic; formatting and rounding variables; further arithmetic operations; complex numbers; input/output operations; vector representation and manipulation; vector arithmetic; matrix representation and manipulation; matrix arithmetic; solutions to sets of linear equations; special matrices; symbolic computation; two dimensional (2D) plots; advanced 2D plotting; three dimensional (3D) plots; statistical functions; random numbers; writing functions; conditional statements; programming loops; laplace transforms; fourier series; fourier transforms.

Assessment

Task Length % of module mark
Essay/coursework
Exercises
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
Essay/coursework
Exercises
N/A 100

Module feedback

Feedback will be given on the assessed exercises within four weeks of submission.

Indicative reading

* David McMahon - MATLAB Demystified - Prentice Hall

* Vinay K. Ingle and John G. Proakis - Digital Signal Processing Using MATLAB - Cengage- Engineering; 2 edition (August 10, 2006)

++ Andr © Quinquis Digital Signal Processing Using Matlab (Hardcover) -Wiley-ISTE; 1 edition (April 4, 2008)



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.

Coronavirus (COVID-19): changes to courses

The 2020/21 academic year will start in September. We aim to deliver as much face-to-face teaching as we can, supported by high quality online alternatives where we must.

Find details of the measures we're planning to protect our community.

Course changes for new students