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2023/24 Undergraduate Module Catalogue

PDES1195 Engineering Analysis for Product Designers

20 creditsClass Size: 50

Module manager: Dr Hau Hing Chau

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2023/24

Module replaces

PDES 1130 Quantification Techniques for Product DesignPDES 1170 Statics

This module is not approved as a discovery module


Introduction to analysis methods useful to designers and the applied mathematical tools and techniques which support them, including statistics and their applications in a design and a design research environment.
Provide knowledge and understanding of mechanical principles and analysis to underpin the design and technical modules later in the product design programme.
Develop the ability to communicate with other technically based disciplines within the Faculty.

Learning outcomes
To introduce the essentials of engineering analysis and the mathematical techniques that support them.
By the end of the module, students should be able (at a basic level) to:
- Develop knowledge and understanding of Mathematics and an awareness of statistical methods necessary to support application of key engineering principles;
- Appreciate the influence of basic engineering principles on Product Design
- Understand the fundamental principles of mechanical analysis relevant to Product Designers;
- Apply quantitative methods in an Engineering context; for example to understand the performance of components;
- Identify and calculate the typical forces and stresses within structures and components;
- Monitor, interpret and apply the results of analysis and modelling in order to bring about improvement.
Students will have the opportunity to develop the following skills through this module:
- Problem Analysis
- Problem Solving
- Independent Learning.

Engineering Council Learning Outcomes
SM1i - Knowledge and understanding of the scientific principles underpinning relevant technologies, and their evolution
SM2i - Knowledge and understanding of mathematics and an awareness of statistical methods necessary to support application of key engineering principles
EA1i - Ability to monitor, interpret and apply the results of analysis and modelling in order to bring about continuous improvement
EA2i - Ability to apply quantitative methods in order to understand the performance of systems and components
EA3i - Ability to use the results of engineering analysis to solve engineering problems and to recommend appropriate action
D3 - Work with information that may be incomplete or uncertain and be aware that this may affect the design
D4i - Apply problem-solving skills, technical knowledge and understanding to create or adapt designs solutions that are fit for purpose including operation, maintenance, reliability etc
D6 - Communicate their work to technical and non-technical audiences
P2i - Understanding of and ability to use relevant materials, equipment, tools, processes, or products
P3i - Knowledge and understanding of workshop and laboratory practice
G1 - Apply their skills in problem solving, communication, information retrieval, working with others and the effective use of general IT facilities


Mathematical principles to support analysis of data and mechanical principles including
- Arithmetic manipulations and Algebra
- Functions and graphs
- Geometry and trigonometry
- Calculus
- Notions of statistics

Mechanics for designers
- Definition of forces, stresses and strains
- Moments and torques
- Newtons Laws of motion
- Elasticity, Hookes Law and elastic constants
- Pin-jointed frameworks and support conditions

- Bending moments and shear force diagrams in simple beams
- Centroids of area, neutral axis and second moment of area
- Simple beams: stress and deflection
- Work, power, energy conversion and transmission
- Rotational motion: torque, angular velocity, shear stress in shafts

Teaching methods

Delivery typeNumberLength hoursStudent hours
Example Class151.0015.00
Private study hours146.00
Total Contact hours54.00
Total hours (100hr per 10 credits)200.00

Private study

Private study includes preparation and review for lectures and example classes (44 hours), completing coursework items (78 hours), and revision and class test/exam preparation (24 hours).

Opportunities for Formative Feedback

An online discussion board will be monitored during specified times each week.
Minerva quiz after each asynchronous lecture.

Methods of assessment

Assessment typeNotes% of formal assessment
Group ProjectBridge Demonstration and Individual Development Logbook20.00
PracticalLaboratory Report20.00
In-course AssessmentClass test10.00
ReportNon-assessed Lab report Tensile Testing of Materials0.00
Total percentage (Assessment Coursework)50.00

Group Project - The Individual Assessment Logbook can be resubmitted as a resit. Laboratory Report - Resit available to students with mitigating circumstances. Class test - Resit available to students with mitigating circumstances.

Exam typeExam duration% of formal assessment
Unseen exam 2 hr 50.00
Total percentage (Assessment Exams)50.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 28/04/2023 14:55:00


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