2024/25 Taught Postgraduate Module Catalogue

MECH5465M Experimental Methods and Analysis

15 creditsClass Size: 120

Module manager: Dr Sepideh Khodaparast
Email: S.Khodaparast@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2024/25

Pre-requisite qualifications

Undergraduate degree in Physical or Engineering Sciences

This module is not approved as an Elective

Module summary

This module offers theoretical and practical training required for design of experiments and data processing to address engineering problems. Fundamentals of experimental design, data acquisition and statistical analysis will be discussed and opportunities to analyse, interpret and report realistic experimental data will be offered.

Objectives

This module aims to equip students with the core skills and awareness required to undertake experimental research in mechanical engineering.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:
1. Recognise key issues when designing experiments and collecting data, concerning objectivity, reliability and repeatability;
2. Understand how to plan an experiment to answer a specific question;
3. Develop an understanding of data analysis and statistical analysis;
4. Develop skills on data visualisation techniques and demonstrate the ability to present data in a meaningful and concise manner;
5. Develop skills for reading and analysing published experimental research reports;
6. Demonstrate an understanding of key measurement techniques and data analysis tools in different areas of research in mechanical engineering.

Upon successful completion of this module the following Engineering Council Accreditation of Higher Education Programmes (AHEP) learning outcome descriptors (fourth edition) are satisfied:

7. Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering. (M1)

On successful completion of the module students will have demonstrated the following skills:
- Laboratory practice
- Statistical analysis techniques
- Teamworking

Syllabus

The module will cover:
- Types of Experiments;
- Experimental design;
- Experimental measurements and uncertainty
- Error and statistical analysis
- Data interpretation and visualisation
- Overview of sample mechanical engineering measurement techniques
- Overview of sample mechanical engineering laboratory techniques

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	10	1.50	15.00
Practical	2	3.00	6.00
Seminar	12	1.00	12.00
Private study hours			117.00
Total Contact hours			33.00
Total hours (100hr per 10 credits)			150.00

Opportunities for Formative Feedback

Designated weekly office hour in which students can seek 1-2-1 support.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Practical	Lab report 1	20.00
Practical	Lab report 2	60.00
In-course MCQ	Class test	10.00
In-course MCQ	Class test	10.00
Total percentage (Assessment Coursework)		100.00

Alternative Lab Report 2 for resit

Reading list

There is no reading list for this module

Last updated: 29/04/2024 16:16:42

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