Unit name | Engineering Mathematics 2 |
---|---|

Unit code | EMAT20200 |

Credit points | 20 |

Level of study | I/5 |

Teaching block(s) |
Teaching Block 4 (weeks 1-24) |

Unit director | Dr. Homer |

Open unit status | Not open |

Pre-requisites |
EMAT10100 Engineering Mathematics 1 |

Co-requisites |
None |

School/department | Department of Engineering Mathematics |

Faculty | Faculty of Engineering |

This is the second of the two units that cover the basic mathematics requirements of engineering degree programmes. It comprises four elements: Vector Calculus, Applied Statistics, and Linear Systems & Partial Differential Equations.

Unit aims: To enhance and develop the student's understanding of and ability to use the language of mathematics in engineering problems.

On successful completion of this unit, students will:

- understand basic principles of vector calculus
- be able to apply vector calculus methods to problems in engineering
- understand and apply transform methods to engineering problems
- be able to classify simple partial differential equations, and understand the different qualitative behaviour of their solutions
- be able to apply elementary techniques to solve simple partial differential equations
- appreciate the importance of the real world of applied statistics
- be able to formulate hypothesis tests, and understand their use for making inferences and obtaining confidence intervals,
- use applied statistics techniques such as goodness of fit, correlation and regression for simple data and models

Lectures.

There are also additional but optional walk-in support classes (3 hours per week) in which postgraduate students offer ad-hoc support to students on an individual basis

3-hour written exam (100%, all learning outcomes)

Advanced Modern Engineering Mathematics (4th edition), G James et al. Prentice Hall, 2010. This textbook covers the entire unit apart from some detail in statistics (see below).

Advanced Engineering Mathematics (10th Edition) E Kreyszig, John Wiley & Sons. This book is aimed at the more advanced end of this course but gives simple explanations and contains all the maths you are likely to need for the rest of your University career and beyond.

Other textbooks which students may find useful are:

Probability and Statistics for Engineers and Scientists (9th Edition). Ronald. E. Walpole et al, Pearson, 2011. Recommended as covering the requirements in applied statistics, though many other textbooks available in the libraries will do likewise.

Modern Engineering Mathematics (4th edition) Glyn James et al, Prentice Hall 2010.

Useful for applied statistics, and for revision of key concepts from EMAT10100.