Advanced Engineering Mathematics
| Code | School | Level | Credits | Semesters |
| EEEE3116 | Electrical & Electronic Engineering | 3 | 10 | Autumn Malaysia |
- Code
- EEEE3116
- School
- Electrical & Electronic Engineering
- Level
- 3
- Credits
- 10
- Semesters
- Autumn Malaysia
Summary
This module provides an introduction to a variety of mathematical
techniques that are used in advanced electrical and electronic
engineering. The content includes:
Signal processing: Transforms allow data to be represented in different
ways; Useful if more efficient – or enhances some aspect of the data;
Recap Discrete Fourier Transform; Other Discrete Transforms (Hartley,
Haar, Discrete Cosine); Karhunen Loeve Transform / Principal Component
Analysis; KLT / PCA; Empirical Mode Decomposition (Hilbert Huang
transform).
PDEs: The origin of Partial Differential Equations drawn from a range of
engineering examples and consideration of the techniques used to solve
them.
Matrices: Review of basic matrix notation and operations and the
consideration of: Special structures and methods using the diagonal and
triangular forms; Linear equation solving; Eigenproblems and related
decompositions; Special techniques for sparse problems.
Target Students
Students on relevant MSc Engineering Programmes.
Classes
- One 2-hour lecture each week for 12 weeks
- One 2-hour laboratory each week for 5 weeks
Assessment
- 25% Coursework 1: 2000 word literature review on a topic relevant to MSc programme.
- 75% Exam (2-hour): Formative health and safety risk assessment
Educational Aims
To provide of knowledge of advanced mathematical techniques and their relevance to Electronic Engineering applications.Learning Outcomes
LO1 - Translate engineering problems into a mathematical framework
LO2 - Apply advanced techniques in mathematics to solve problems typical of those found within an electrical, electronic and/or computer engineering context
L03 - Use suitable techniques for representing engineering problems and be able to select suitable approaches for extracting particular information
L04 - Select suitable schemes for modelling engineering scenarios and their associated data; be able to apply key algorithms for manipulating these representations with consideration of issues of computational efficiency and fidelity.
Conveners
- Dr Hermawan Nugroho