Modelling: Methods and Tools

Code

EEEE2051

School

Electrical & Electronic Engineering

Level

2

Credits

20

Semesters

Full Year Malaysia

Summary

This module provides second year undergraduate students in the Department of Electrical and Electronic Engineering with the modeling 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 will include:
• Analysis Techniques for Dynamic Systems with application to communication and control theory
• Analysis Techniques for Digital Systems
• Numerical techniques
• Integral and Differential Methods for Engineering
•  Statistical Analysis of Signals and Data
Re-assessment of this module, if required, will be by 100% exam.

Target Students

Second year students on courses offered by Department of Electrical and Electronic Engineering.

Classes

• One 1-hour tutorial each week for 8 weeks
• Two 2-hour lectures each week for 17 weeks

Assessment

• 2% Progress Test 1
• 15% Coursework 2
• 2% Progress Test 2
• 2% Progress Test 3
• 2% Progress Test 4
• 2% Progress Test 5
• 2% Progress Test 6
• 2% Progress Test 7
• 2% Progress Test 8
• 15% Coursework 1
• 50% Exam (2-hour)

Educational Aims

Learning Outcomes

1 Explain the principle of Fourier Transforms and how they are applied 
2 Apply Fourier Transform methods using analytical calculations
3 Summarise the differences between continuous and discrete Fourier Transform methods
4 Use Discrete Fourier Transform methods found in common engineering software (for example LTspice, MATLAB-Simulink) to analyse engineering problems
5 Select and apply analytical Laplace Transform methods to model complex problems
6 Reach conclusions about dynamic systems' responses through application of Laplace Transform methods
7 Demonstrate how signals and system transfer functions can be represented in discrete form using Z-transform methods.
8 Convert continuous system representations to discrete formulations, suitable for microcontroller implementation
9 Select and apply  appropriate numerical integration techniques, and recognise limitations of techniques chosen
10 Utilise common engineering software (LTspice, MATLAB-Simulink) to apply appropriate numerical techniques
11 Make use of vector operators to evaluate vector and scalar fields
12 Demonstrate ability to represent vectors and variables in multiple coordinate systems
13 Apply analytic solution techniques for solving differential equations arising in engineering problems
14 Apply statistical methods to analysis of electrical/electronic signals
15 Use statistical methods to analyse data from typical engineering applications.
16 Use common probability distributions to reach conclusions about likely outcomes for engineering problems.

Conveners

• Dr Freddy Kheng Suan Tan