NG1S425 - Analytical Methods for Engineers 01 Aug 2023 - 31 Aug 2030 | Version 3

Associated Module Information

Module Code: NG1S425
Module Title: Analytical Methods for Engineers
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Aircraft Maintenance Engineering
Faculty Sub Group: Aircraft Maintenance Engineering
Module Leader: Gary Dornan
Module Team: Alun Griffiths, Emily Simba, David Scammell, Daniel Jones
First Intended Intake: SEP 2017 Final Year of Intake: 2028
Date Closed:
Credit Value: 20 Credit Level: 4
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100114 - aeronautical engineering
HECOS Code Weighting: 100

Document Version Information

Version 3
Valid From 01 Aug 2023
Valid To 31 Aug 2030

Module Aims

This module aims to provide students with the mathematical skills needed and understand the relevance of mathematics in solving engineering problems and introduce students to a range of statistical methods applied to the collection, analysis, and interpretation of data.

Content Summary

Linear, simultaneous linear and quadratic equations. Factorisation, expansion and simplification of algebraic expressions. Rearrangement of formulae. Indices and logarithms. The exponential function.

Radians and Degrees. Trigonometric and Inverse trigonometric functions and their graphs, Pythagoras theorem, The sine and cosine rules , simple trigonometric identities

Cartesian and polar coordinates, Equation of a straight line. Plotting straight line graphs. Reduction of other functions to straight line form. Least squares approximations

Concept of differentiation, Differentiation of simple functions. The product, quotient and function of a function rules. Maxima and minima. Velocity and acceleration.

Integration as the reverse of differentiation, integration using standard forms, simple substitutions and parts. Numerical integration. Application to area, volume and second moments of area.

Graphical display of data. Calculation of measures of central tendency (mean, median, mode), measures of dispersion (standard deviation and variance) and interquartile range. The binomial, Poisson and normal distributions.

Learning and Teaching Methods

Activity Type Hours
Lecture 60
Tutorial 6
Independent Study 110
Directed Study 24
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 Demonstrate an understanding of the mathematics needed for engineering
LO2 Manipulate and evaluate problems using Basic arithmetic, Algebra, Trigonometry, Calculus and Statistics

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Synchronous Onsite Assessment (Exam) Onsite External Examination 1 PART 66 Examination 40 N/A 40 No 40
Synchronous Onsite Assessment Classroom Test - Time Constrained (Onsite) 2 Class Test 2 60 N/A 30 No 40
Synchronous Onsite Assessment Classroom Test - Time Constrained (Onsite) 1 Class Test 1 60 N/A 30 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Onsite External Examination 1
Classroom Test - Time Constrained (Onsite) 2
Classroom Test - Time Constrained (Onsite) 1

Reading List

Stroud, K.A. and Booth, D.J. (2020) Engineering mathematics. Eighth edition. London: Red Globe Press. Available at: https://eu.alma.exlibrisgroup.com/view/action/uresolver.do?operation=resolveService&package_service_id=8345566430002424&institutionId=2424&customerId=2415

Bird, J.O. (2014) Basic engineering mathematics. Sixth edition. London: Routledge.

Analytical Methods for Engineers (NG1S425) | University of South Wales (talis.com)

Singh, K. (2011) Engineering mathematics through applications. 2nd ed. Basingstoke: Palgrave Macmillan.

EASA and CAA Regulatory Documents – updates posted online via BB

USW Approved Course Notes - latest edition posted online via BB