Modelling: Methods and Tools

Code

EEEE2055

School

Electrical and Electronic Engineering

Level

2

Credits

20

Semesters

Full Year UK

Summary

This module provides second year undergraduate students in the Department of Electrical and Electronic Engineering with the modelling methods and tools required to analyse and solve the problems they will encounter as engineers as well as in the course of their degree. This will include the required mathematical background as well as the application of suitable software tools. The topics covered include:

• Analysis Techniques for Dynamic Systems with application to communications and control theory
• Analysis Techniques for Digital Systems
• Numerical techniques
• Integral and Differential Methods for Engineering
• Statistical Analysis of Signals and Data

Target Students

Only available to second year students on courses offered by Department of Electrical and Electronic Engineering.

Assessment

• 15% Coursework 1
• 2% Progress Test 8: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 9: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 10: 4 questions (as part of a test for all level 2 modules with progress tests)
• 15% Coursework 2
• 2% Progress Test 1: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 2: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 3: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 4: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 5: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 6: 4 questions (as part of a test for all level 2 modules with progress tests)
• 2% Progress Test 7: 4 questions (as part of a test for all level 2 modules with progress tests)
• 50% Exam (2-hour)

Assessed by end of spring semester

Educational Aims

Learning Outcomes

By the end of the module, students should be able to:

LO1 Explain the principle of Fourier Transforms and how they are applied.

LO2 Apply Fourier Transform methods using analytical calculations.

LO3 Summarise the differences between continuous and discrete Fourier Transform methods.

LO4 Use Discrete Fourier Transform methods found in common engineering software (for example LTspice, MATLAB-Simulink) to analyse engineering problems.

LO5 Select and apply analytical Laplace Transform methods to model complex problems.

LO6 Reach conclusions about dynamic systems' responses through application of Laplace Transform methods.

LO7 Demonstrate how signals and system transfer functions can be represented in discrete form using Z-transform methods.

LO8 Convert continuous system representations to discrete formulations, suitable for microcontroller implementation.

LO9 Select and apply appropriate numerical integration techniques, and recognise limitations of techniques chosen.

LO10 Utilise common engineering software (LTspice, MATLAB-Simulink) to apply appropriate numerical techniques.

LO11 Make use of vector operators to evaluate vector and scalar fields.

LO12 Demonstrate ability to represent vectors and variables in multiple coordinate systems.

LO13 Apply analytic solution techniques for solving differential equations arising in engineering problems.

LO14 Apply statistical methods to analysis of electrical/electronic signals.

LO15 Use statistical methods to analyse data from typical engineering applications.

LO16 Use common probability distributions to reach conclusions about likely outcomes for engineering problems.

This module contributes to the delivery of the following Engineering Council outcomes:

C1, C2, C3 and M3 

Conveners

• Dr Mitchell Kenney