## ELEC1704 Further Engineering Mathematics

### 10 creditsClass Size: 160

Module manager: Professor Christoph Walti
Email: c.walti@leeds.ac.uk

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2020/21

This module is not approved as a discovery module

### Module summary

The teaching and assessment methods shown below will be kept under review during 2020-21. In particular, if conditions allow for alternative formats of delivery, we may amend the timetable and schedule appropriate classes in addition to (or in place of) the Online Learning Workshops. For Semester 2 (from January 2021), we anticipate that this will be most likely, in which case online teaching will be substituted for traditional face-to-face teaching methods, including lectures and practical classes. ‘Independent online learning’ will involve watching pre-recorded lecture material or screen-casts, engaging in learning activities such as online worked examples or remote/virtual laboratory work, etc. Students will be expected to fully engage with all of these activities. The time commitment for independent online learning, and also the frequency and duration of Online Learning Workshops, are approximate and intended as a guide only. Further details will be confirmed when the module commences.

### Objectives

Building on the semester 1 mathematics topics, this module provides students with a knowledge and understanding of the key mathematical principles necessary to underpin their education in electronic engineering. On completion of this module students should be able to apply mathematical methods, tools and notations to the analysis and solution of electronic engineering problems.

Learning outcomes
On completion of this module students should be able to:

1. Derive and use Laplace Transforms of piecewise continuous and periodic functions.
2. Add, subtract and multiply simple matricesand perform spatial transformations using matrices.
3. Express and solve simultaneous linear algebraic equations in matrix form.
4. Calculate the inverse of a square matrix, and use the inverse to solve simultaneous linear equations.
5. Calculate the determinant of a square matrix, and find the eigenvalues and eigenvectors of a square matrix.
6. Diagonalise a square matrix.
7. Formulate differential equations corresponding to 2nd order linear systems, and solve 2nd order differential equations with constant coefficients.
8. Solve coupled 1st order differential equations.
9. Derive the Laplace Transforms of basic mathematical functions.
10. Use Laplace transformation to derive the s-domain equivalents of circuits containing L, C and R, and predict system response based on the location of the system poles.

### Syllabus

Topics may include, but are not limited to:

Matrices: Basic matrix algebra and properties, Matrix solution of simultaneous linear equations
Row reduction methods, Gaussian & Gauss Jordan elimination, Consistency of simultaneous linear equations, Transpose and inverse of a matrix
Use of inverse to solve simultaneous linear equations, Determinants
Properties, Eigenvalues and eigenvectors
Diagonalisation
Differential Equations: 1st and 2nd order linear differential equations with constant coefficients, solution via the auxiliary equation, nonhomogenous equations, application to electrical systems
Coupled 1st order linear differential equations
Transformation of higher order linear differential equations on to coupled differential equations
Laplace Transforms: Introduction to transforms and operators, Laplace transforms of basic functions
Unit step function, Transforms of 1st and 2nd derivatives, Application to electric circuits
Transfer functions, Inverse Laplace transforms, derivation using partial fractions
Direct (s-domain) analysis of electrical circuits, Interpretation of s-domain functions
System poles and their effect on system response
Initial & final value theorems, Transforms of piecewise continuous functions

### Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

 Delivery type Number Length hours Student hours On-line Learning 9 1.00 9.00 Independent online learning hours 32.00 Private study hours 59.00 Total Contact hours 9.00 Total hours (100hr per 10 credits) 100.00

### Private study

Students are expected to use private study time to consolidate the material covered in lectures, to undertake preparatory work for examples classes and to prepare for summative assessments.

### Opportunities for Formative Feedback

Students receive feedback on their progress through the examples classes and the in-semester tests.

### Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Coursework
 Assessment type Notes % of formal assessment Online Assessment Online Assignment/Test 1 30.00 Online Assessment Online Assignment/Test 2 30.00 Online Assessment Online Assignment/Test 3 40.00 Total percentage (Assessment Coursework) 100.00

Resits for ELEC and XJEL modules are subject to the School's Resit Policy and the Code of Practice on Assessment (CoPA), which are available on Minerva. Students should be aware that, for some modules, a resit may only be conducted on an internal basis (with tuition) in the next academic session.