AM1S50 - Mathematics for Mechanical and Aeronautical Engineers 01 Apr 2025 - 31 Aug 2028 | Version 4

Associated Module Information

Module Code: AM1S50
Module Title: Mathematics for Mechanical and Aeronautical Engineers
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Computing and Mathematical Sciences
Faculty Sub Group: Mathematical Sciences
Module Leader: Graeme Boswell
Module Team: Stephanie Perkins, Nicholas Andrews, Robert Whittey, John Wyburn, Shauna Ford, Meinwen Taylor
First Intended Intake: SEP 2017 Final Year of Intake:
Date Closed:
Credit Value: 20 Credit Level: 4
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 101028 - engineering and industrial mathematics
HECOS Code Weighting: 100

Document Version Information

Version 4
Valid From 01 Apr 2025
Valid To 31 Aug 2028

Module Aims

To provide students with confidence in mathematics
To demonstrate to students the relevance of mathematics in engineering
To allow students to solve problems using an appropriate software package

Content Summary

Basic algebra, graphs of functions, linear equations, polynomial equations, series.

Trigonometric, inverse trigonometric, exponential and hyperbolic functions.

Matrices, Vectors and applications.

Complex Numbers, De Moivres theorem and applications.

Introduction to statistics. Elementary probability.

Differentiation of polynomial, logarithmic and exponential functions and of trigonometric and hyperbolic functions and their inverses.

Rules of differentiation. Applications of differentiation.

Introduction to integration. Integration by substitution and parts. Partial fractions. Numerical integration.

Analytical solution of first order ordinary differential equations and linear second order differential equations with constant coefficients.

This module will facilitate the development of Personal Development Planning through the delivery of the key skills identified below in the module descriptor.

Learning and Teaching Methods

Activity Type Hours
Lecture 24
Practical classes and workshops 12
Independent Study 84
Directed Study 80
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 Demonstrate an understanding of the further mathematics needed for engineering
LO2 Apply appropriate techniques to solve problems

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Portfolio 1 25% Practical Coursework 25% MATLAB Exercises 0 N/A 50 No 40
Synchronous Onsite Assessment (Exam) Onsite Closed Book Examination 1 Exam 120 N/A 50 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Portfolio 1
Onsite Closed Book Examination 1

Reading List

Stroud, K. A.(2013), Engineering Mathematics, Palgrave.

Glyn James (2015), Modern Engineering Mathematics, Pearson

Hunt, B. R. (2012). Differential Equations with Matlab. New York: John Wiley & Sons Inc.