2025/26 Undergraduate Module Catalogue

PDES1195 Engineering Analysis for Product Designers

20 Credits Class Size: 50

Module manager: Dr Hau Hing Chau
Email: H.H.Chau@leeds.ac.uk

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

Year running 2025/26

Module replaces

PDES1130 Quantification Techniques for Product Design PDES1170 Statics

This module is not approved as a discovery module

Module summary

This module is designed to develop students’ (1) engineering analysis skills, including mathematics and mechanics, that are prerequisites for other technical modules in Levels 1, 2 and 3, and (2) the ability to apply these skills to design problems. A mixture of lectures, a practical design and build project, and a laboratory are used to encourage students to learn and apply these skills from various perspectives.

Objectives

On completion of this module, students will be able to;

- apply mathematical tools and techniques to support design work, including statistics and their applications in design and research environments.
- understand mechanical principles and analysis to underpin the design and technical modules later in the product design programme.
- communicate with other technically based disciplines

Learning outcomes

On successful completion of the module students will have demonstrated the following learning outcomes:

1. Develop knowledge and understanding of Mathematics and an awareness of statistical methods necessary to support application of key engineering principles;
2. Appreciate the influence of basic engineering principles on Product Design;
Understand the fundamental principles of mechanical analysis relevant to Product Designers;
3. Apply quantitative methods in an Engineering context, for example, to understand the performance of components;
4. Identify and calculate typical forces and stresses within structures and components;
5. Monitor, interpret and apply results of analysis and modelling in order to bring about design improvements.

These module learning outcomes contribute to the following AHEP4 learning outcomes:

6. Apply knowledge of mathematics, statistics, natural science and engineering principles to broadly-defined problems. Some of the knowledge will be informed by current developments in the subject of study (B1)
7. Analyse broadly-defined problems reaching substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles (B2)
8. Select and apply appropriate computational and analytical techniques to model broadly-defined problems, recognising the limitations of the techniques employed (B3).
9. Use practical laboratory and workshop skills to investigate broadly-defined problems (B12)

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills:

1. Problem solving & analytical skills [Work ready skills]

Syllabus

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

Methods of assessment
The assessment details for this module will be provided at the start of the academic year

Teaching Methods

Delivery type Number Length hours Student hours
Lecture 44 1 44
Practical 18 1 18
Seminar 22 1 22
Private study hours 116
Total Contact hours 84
Total hours (100hr per 10 credits) 200

Opportunities for Formative Feedback

An online discussion board will be monitored.
Minerva quiz after each asynchronous lecture.

Reading List

The reading list is available from the Library website

Last updated: 30/04/2025

Errors, omissions, failed links etc should be notified to the Catalogue Team