# Introduction to Engineering Mathematics

## Module summary

Module code: MATH1096
Level: 0
Credits: 30
School: Engineering and Science
Department: Engineering
Module Coordinator(s): Jan Krabicka

## Specification

None.

### Aims

TThis module aims to provide extended degree students with the core mathematical skills and techniques they will need to successfully undertake an undergraduate programme in engineering at stage 1. It will also introduce them to mathematical software tools that are available to assist in the solution of complex engineering problems. Finally, it aims to instil an appreciation of the relevance and importance of mathematics within the engineering professions, with a view to enhancing motivation and interest in the study of mathematics.

### Learning outcomes

On successful completion of this module a student will be able to:
1 Use fundamental techniques to manipulate mathematical expressions and equations.
2 Apply a variety of mathematical techniques to solve a range of engineering problems.
3 Use appropriate mathematical software tools in the solution of engineering problems.
4 Understand the role of mathematics within engineering.

### Indicative content

Arithmetic operations, number systems, SI units, angles, trigonometry, properties of circles, area and volume, logarithms and exponents, vectors, matrices, complex numbers, MatlabĀ® software environment, transposition of formulae, linear, quadratic, exponential and sinusoidal functions, sketching graphs, simultaneous equations, differentiation and differentiation techniques, integration and integration techniques, applications of integration and differentiation, histograms, normal distributions, standard deviation.

### Teaching and learning activity

The module is delivered through a series of formal lectures, tutorial sessions involving student orientated activities (group and individual) and computer laboratory exercises.
The core material is delivered in the lecture sessions. A set of exercises and engineering applications problems follows each lecture topic and students are given the opportunity to discuss them with the tutorial leader and colleagues in a small group context.

### Assessment

Portfolio - 50% Pass/Fail.
LO - 1,2,3,4.
4500 words.
Weekly mathematical exercises formed into a portfolio of evidence.

Examination - 50% Pass/Fail.
LO - 1,2.
2 hours.
Formal unseen written examination.

Students are required to pass all components in order to pass the course.

Nature of FORMATIVE assessment supporting student learning:
Tutorials, quizzes, group & individual exercises, online exercises, revision sessions.