Course Modules

Creating impact more strategically over the wider organisation or a system takes a further understanding of self. This is particularly the case as one moves from managerial control of direct reports to influencing people, teams and even organisations. In this […]

This module provides a basic introduction to several software packages used in BEng degrees. You will gain a basic competency in using these software packages. This module also stresses the importance that computer-aided engineering (CAE) plays in modern engineering practice.

The module will provide you with the fundamentals, tools and techniques required for DC and AC circuit analysis. You will be introduced to the fundamental properties of electromagnetic fields and their application in engineering context.

This module develops your basic laboratory and analytical techniques and develops your mathematical, statistical and IT skills. You will practise recording laboratory data and maintaining a lab-book. You will encouraged to think independently, analytically and creatively in order to interpret

This year-long module is an opportunity to work within a group on a defined project offered by departmental staff. You will develop your research, planning and practical skills, from inception to completion, and develop skills in appraising your results to

This introductory module provides a mathematical foundation for Engineering students. This module assumes some experience in applied mathematics at level 3 (A level, BTEC) and is essential for studying other modules in electrical and mechanical engineering.

This module provides a grounding in the theory of probability, and is an essential precursor for the subsequent study of mathematical statistics and operations research. The emphasis will be on modelling real situations, including probability calculations motivated by statistical problems.

This module builds on the material covered within the first year calculus courses. Calculus will be extended to functions of more than one variable and applications of partial differentiation and multiple integrals.

This module explores how complex analysis is concerned with extending the familiar notions of differentiation and integration to functions of a complex variable. Perhaps surprisingly, this apparent increase in sophistication results in a host of spectacularly strong results. Applications abound;

In this module, you will build on the material introduced in the first-year module to take a more in-depth look at the idea of estimation. You will learn how to compare the relative strengths and weaknesses of estimators and how