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# Mathematics, Signals and Systems - ELE00031I

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• Department: Electronic Engineering
• Credit value: 20 credits
• Credit level: I
• Academic year of delivery: 2024-25

## Module summary

This module introduces more advanced mathematical tools that are useful for modelling real-world engineering systems and for the analysis and processing of signals.

## Module will run

Occurrence Teaching period
A Semester 1 2024-25

## Module aims

Subject content aims:

• To introduce the techniques of multivariable calculus (including partial differentiation, coordinate transformations and multiple integrals)

• To support applied modules in areas such as networks, electromagnetic fields and control theory

• To provide an introduction to the Laplace transform and the Z-transform as tools for linear systems theory and analysis

• To develop an awareness and understanding of the use of Fourier Transform, Fourier Series, Convolution and Correlation techniques to the study of signals and linear systems

• To develop skills in the application of applied numeracy and algebraic techniques

## Module learning outcomes

Subject content learning outcomes
After successful completion of this module, students will be able to:

• Apply calculus to two and three dimensional problems
• Discuss the limitations of the Laplace transform in the context of engineering problems
• Explain the implications of sampling signals and the basic theory of the Z-transform
• Apply Fourier Series and Fourier Transform techniques
• Apply theorems associated with Fourier Transform techniques
• Analyse linear time invariant systems using correlation and convolution techniques
• Evaluate total derivatives and multiple integrals in two or more variables
• Change variables and transform the way in which a multidimensional problem is viewed
• Use the Laplace transform in the analysis and characterisation of linear, time-invariant systems
• Examine the similarities and differences between the Laplace & Fourier transforms in an engineering context
• Apply Fourier Transform techniques to describe the characteristics of signals

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

• Explain commonly encountered technical concepts concisely and accurately
• Select and apply a range of mathematical techniques to solve problems
• Have developed skills in problem solving, critical analysis and applied mathematics

## Indicative assessment

Closed/in-person Exam (Centrally scheduled) 70
Essay/coursework 30

None

### Indicative reassessment

Closed/in-person Exam (Centrally scheduled) 70
Essay/coursework 30

## Module feedback

'Feedback’ at a university level can be understood as any part of the learning process which is designed to guide your progress through your degree programme. We aim to help you reflect on your own learning and help you feel more clear about your progress through clarifying what is expected of you in both formative and summative assessments. A comprehensive guide to feedback and to forms of feedback is available in the Guide to Assessment Standards, Marking and Feedback.

The School of PET aims to provide some form of feedback on all formative and summative assessments that are carried out during the degree programme. In general, feedback on any written work/assignments undertaken will be sufficient so as to indicate the nature of the changes needed in order to improve the work. The School will endeavour to return all exam feedback within the timescale set out in the University's Policy on Assessment Feedback Turnaround Time. The School would normally expect to adhere to the times given, however, it is possible that exceptional circumstances may delay feedback. The School will endeavour to keep such delays to a minimum. Please note that any marks released are subject to ratification by the Board of Examiners and Senate. Meetings at the start/end of each term provide you with an opportunity to discuss and reflect with your supervisor on your overall performance to date.