Module Descriptors
ENGINEERING MATHEMATICS 2
MATH53012
Key Facts
Digital, Technology, Innovation and Business
Level 5
20 credits
Contact
Leader: Emily Raeburn
Hours of Study
Scheduled Learning and Teaching Activities: 48
Independent Study Hours: 152
Total Learning Hours: 200
Pattern of Delivery
  • Occurrence A, Stoke Campus, UG Semester 1
Sites
  • Stoke Campus
Assessment
  • TEST- 1 HOUR weighted at 30%
  • ASSIGNMENT- 500 WORDS weighted at 30%
  • EXAM- 1.5 HOURS weighted at 40%
Module Details
INDICATIVE CONTENT
This module covers the following range of techniques used to analyse engineering systems and to design, predict or control their responses:

• Differential equations (general definition, first and second order, numerical solutions)
• Laplace transforms (including partial fractions and use of tables, second-order differential equations and simple first-order equations incorporating Heaviside functions)
• Eigenvalue analysis with applications (simplifying and solving coupled systems of linear differential equations)

• Introduction to Fourier Series
• Use of a mathematical software
ADDITIONAL ASSESSMENT DETAILS
A 1-hour test weighted at 30% assessing Learning Outcomes 1, 2 and 4. Meeting AHEP 4 Outcomes: C1, C2

A 500-word assignment based on the use of a mathematical software to solve problems, weighted at 30% assessing Learning Outcomes 1, 2, 4 and 5. Meeting AHEP 4 Outcomes: C1, C2, C3.

A 1.5-hour exam weighted at 40% assessing Learning Outcomes 1, 2, 3 and 4. Meeting AHEP 4 Outcomes: C1, C2.



Professional Body requirements mean that a minimum overall score of 40% is required to pass a module, with each element of assessment requiring a minimum mark of 30% unless otherwise stated.
LEARNING STRATEGIES
Whole group lectures will be used to deliver new material and to consolidate previous material.

Small-group tutorials, with activities designed to enhance the understanding of the material delivered in the lectures, will be used to apply the skills and knowledge learned.
LEARNING OUTCOMES

1. Explain and demonstrate fundamental mathematical techniques required to model engineering systems and develop solutions/responses.¿(AHEP 4: C1, C2)

Knowledge and Understanding,
Application,
Problem Solving.


2. Select and apply appropriate techniques to solve differential equation models of engineering systems. (AHEP 4: C1)

Knowledge and Understanding,
Application.
Problem Solving.


3. Use Fourier series to obtain a frequency analysis of periodic functions. (AHEP 4: C1)

Knowledge and Understanding,
Analysis.


4. Interpret and communicate effectively the solutions/responses obtained.¿(AHEP 4: C2)

Knowledge and Understanding,
Application,
Communication.


5. Implement techniques using mathematical software. (AHEP 4: C3)

Knowledge and Understanding,
Application,
Problem Solving.

TEXTS
James, G. et al (2018), Advanced Modern Engineering Mathematics, Pearson Education

Singh, K. (2011), Engineering Mathematics through Applications, Palgrave Macmillan
Stroud, K. A. & Booth, D. (2020), Engineering Mathematics, Red Globe Press
Stroud, K. A. & Booth, D. (2020), Advanced Engineering Mathematics, Red Globe Press
RESOURCES
Blackboard VLE

Scientific Calculator

Mathematical Software (e.g. Maple)
WEB DECRIPTOR
This module will provide students with sufficient mathematical tools and techniques to tackle a variety of engineering problems.