Engineering Mathematics and Scientific Computing - 2024 entry

This module introduces modern engineering mathematics by teaching maths alongside programming.

What you learn in this module will support mathematical content in core modules throughout your programme. You will be introduced to core mathematical tools for modelling engineering systems which will be developed further in Year 2. You will learn about statistical methods of analysis that are vital tools for 21st century's engineers.

An elementary introduction to programming in python will be provided which will equip you with valuable data processing and modelling skills. The teaching of python will mirror mathematical content, building on knowledge of specialist packages for matrices, differential equations and statistics.

This module aims to provide you with all of the mathematical tools to tackle modern engineering problems. It will allow you to develop strong quantitative skills, such that mathematical tools become second nature so you can focus directly on engineering challenges and concepts. An important aspect of this is to provide a solid foundation in programming so that it could help you develop new ways of engineering thinking and cutting-edge solutions to ever-changing societal challenges..

Discipline and Module Intended Learning Outcomes:

On successful completion of this module, you should be able to:

1 - manipulate complex algebraic expressions (including boolean algebra), functions and vectors

2 - demonstrate knowledge of analytical and numerical differentiation and integration

3 - solve ordinary differential equations

4 - demonstrate foundational knowledge of statistical and probabilistic techniques required for engineering

5 - manipulate matrices, and use them to solve systems of equations and simple eigenvalue problems

6 - demonstrate knowledge of the key principles of object orientated programme

7 - structure, write and test computer programmes to solve engineering mathematical task

8 - formulate engineering problems into mathematical statements

9 - understand the application of new mathematical methods in the context of real engineering problems

10 - demonstrate strong quantitative and problem-solving skills

11 - demonstrate a strong foundation in scientific computing in python

Reassessment will be by a single written exam only worth 100% of the module. For deferred candidates, the mark will be uncapped. For referred candidates, the mark will be capped at 40%.

Basic reading:

ELE:

Web based and Electronic Resources:

Other Resources:

Reading list for this module: