Introduction to Engineering Mathematics

Module summary

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


Pre and co requisites



The Faculty of Engineering & Science provides students without traditional entry qualifications (but who have the desire and ambition to succeed) the opportunity to read for an accredited Bachelor of Engineering Honours (BEng (Hons)) degree. Such students will undertake an extra year of study and complete a four-year extended BEng (Hons) degree programme. Stage 0 of the extended degree programme, the 'foundation year', is designed to provide extended degree students with all essential skills and knowledge required for successful integration into stage 1 of a traditional BEng (Hons) degree programme; stages 1 to 3 of the extended degree are identical to those of students completing traditional BEng (Hons) degree programmes.

This course 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 course 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 course is delivered through a series of formal lectures, tutorial sessions involving student orientated activities (group and individual) and computer laboratory exercises. The students are taught in two parallel groups: one that has had some experience with the material and one that has had very little previous engagement with the mathematical topics that are covered in the course. Both groups are assessed identically, but delivery is adapted to suit the learning requirements of each group.


Methods of SUMMATIVE Assessment: Coursework
Nature of FORMATIVE assessment supporting student learning: Tutorials, quizzes, group & individual exercises
Outcome(s) assessed by summative assessment: 1,2,3,4
Grading Mode Pass/fail
Weighting 50%
Pass Mark n/a
Word Length 5000 + appendices
Outline Details: Phase test 1, Phase test 2 & Individual portfolio.

Methods of SUMMATIVE Assessment: Examination
Nature of FORMATIVE assessment supporting student learning: Tutorials, revision sessions
Outcome(s) assessed by summative assessment: 1,2
Grading Mode Pass/fail
Weighting 50%
Pass Mark n/a
Word Length n/a
Outline Details: Formal unseen two-hour written examination

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