Module code: EEE2035

Module provider

Electrical and Electronic Engineering

Module Leader

DEANE JH Dr (Maths)

Number of Credits


ECT Credits



FHEQ Level 5

JACs code


Module cap (Maximum number of students)


Module Availability

Semester 1

Overall student workload

Independent Study Hours: 112

Lecture Hours: 33

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework PROBLEM SHEETS 20%

Alternative Assessment

Not applicable: students failing a unit of assessment resit the assessment in its original format.

Prerequisites / Co-requisites


Module overview

Expected prior learning:  Mathematical experience equivalent to Year 1 of EE Programmes.

Module purpose:   This module builds on the fundamental tools and concepts introduced in the Mathematics modules in Year 1 and applies them to further engineering examples.  A broad range of mathematics topics is covered, and their applications are always borne in mind.


Module aims

Students will be able to demonstrate the application of relevant mathematics underpinning telecommunications, linear systems, digital signal processing, networks and laboratories, as well as substantial parts of many final year modules.

Learning outcomes

Attributes Developed
Apply mathematics analytically to a range of engineering problems. KPT
Select the appropriate mathematical techniques for a range of problems, while bearing in mind the limitations of these techniques. KCT
Demonstrate ability to present solutions in a clear and structured way.   KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Module content

Indicative content includes the following:

[1 - 4] Fourier Series and Fourier Transforms. Comparison of time and frequency domain. Fourier transforms and inverse transforms. Convolution. Application to signal processing. Quick method for calculating Fourier transforms.

[5 - 6] Probability. Meaning of probability. Dependent, independent and mutually exclusive events.

[7 - 10] Statistics. Definition of terms. The probability density function. Normalisation. Normal, Binomial and Poisson probability density functions. Applications to errors, noise, and least squares fitting of straight lines and other curves to data.

[11 - 12] Method of least squares. Applications to treatment of experimental results.

[13 - 16] Matrices. Determinants. Matrix algebra. Transpose and inverse. Solution of linear    simultaneous equations. Eigenvalues and eigenvectors. Two-port parameters.

[17 - 18] The wave equation. Derivation and d'Alembert solution.

[19 - 22] Laplace transforms. Complex frequency. Partial fractions and the solution of differential equations by Laplace transform. Mechanical examples as well as electronic ones.

[23 - 27] Z-transforms. Definition, properties, inversion. Applications and worked examples.

[28 - 30] Cross- and Autocorrelation.  Definition, examples, applications.


Methods of Teaching / Learning

The learning and teaching strategy is designed to achieve the following aims:

Student familiarity with the basic concepts, notations and techniques used in mathematics as it is applied to engineering, as taught in Mathematics I and II.
Facility with the fundamental tools of applied  mathematics that will support many other courses in the current and next Level of Electronic Engineering degree programmes.

Learning and teaching methods include the following:

Lectures (3 hours per week for 11 weeks).
Class discussion in lectures.
One-to-one sessions with lecturer during office hours.
One hour tutorial every two weeks in Drop-in Centre.



Assessment Strategy

The assessment strategy for this module is designed to provide students with the opportunity to demonstrate the learning outcomes. The written examination will assess the knowledge and assimilation of mathematical terminology, notation, concepts and techniques, as well as the ability to work out solutions to previously unseen problems under time-constrained conditions. The assignments give the students a chance to practise the required techniques shortly after they have been taught and in problems of a similar level to those that they will meet in the exam.


Thus, the summative assessment for this module consists of the following.

·         2-hour, closed-book written examination.

·         Two take-home problem sheets, submitted as coursework.


Formative assessment and feedback

For the module, students will receive formative assessment/feedback in the following ways.

·         During lectures, by question and answer sessions

·         During office hour meetings with students

·         By means of unassessed tutorial problems in the notes (with answers/model solutions)

·         Via assessed coursework


Any deadlines given here are indicative. For confirmation of exact dates and times, please check the Departmental assessment calendar issued to you.

Reading list


Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2017/8 academic year.