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# Introduction to MATLAB - ELE00112M

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• Department: Electronic Engineering
• Module co-ordinator: Dr. John Szymanski
• Credit value: 10 credits
• Credit level: M
• Academic year of delivery: 2019-20

## Module summary

Students are introduced to a powerful and versatile program that is widely used in science and engineering. Starting from basic functions such as simple data processing, they move rapidly on, through a series of laboratory exercises, to data plotting, complex numbers, linear algebra and statistics. Students are encouraged in these laboratories to experiment and to learn about the huge range of built-in functions that Matlab has to offer. They also get useful experience in programming techniques and in creating their own Matlab functions. Finally, for their individual assignment, they write Matlab code to analyse and synthesise signals for a real communications system.

## Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20

## Module aims

Subject content aims:

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

• 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

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

None

### Reassessment

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

## Module feedback

* 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.