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2021/22 Taught Postgraduate Module Catalogue

MECH5465M Experimental Methods and Analysis

15 creditsClass Size: 55

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

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2021/22

Module replaces

MECH 5565M Medical Engineering Experimental Design & Analysis

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
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 UK-SPEC learning outcome descriptors are satisfied:
A comprehensive understanding of the relevant scientific principles of the specialisation (SM1m, SM7M)
Knowledge and understanding of mathematical and statistical methods necessary to underpin education in medical engineering and to enable them to apply a range of mathematical and statistical methods, tools and notations proficiently and critically in the analysis and solution of engineering problems (SM2m)
Ability to apply and integrate knowledge and understanding of other engineering disciplines to support study of study of medical engineering and the ability to evaluate them critically and to apply them effectively (SM3m)
Awareness of developing technologies related to medical engineering (SM4m)
A comprehensive knowledge and understanding of mathematical and computational models relevant to the medical engineering discipline, and an appreciation of their limitations (SM5m)
Understanding of concepts relevant to the discipline, some from outside engineering, and the ability to evaluate them critically and to apply them effectively, including in engineering projects (SM6m, SM9M)
Understanding of concepts relevant to the discipline, some from outside engineering, and the ability to evaluate them critically and to apply them effectively, including in engineering projects (SM8M)
Understanding of engineering principles and the ability to apply them to undertake critical analysis of key engineering processes (EA1m)
Ability both to apply appropriate engineering analysis methods for solving complex problems in engineering and to assess their limitations (EA3m, EA6M)
Ability to use fundamental knowledge to investigate new and emerging technologies in medical engineering (EA5m)
Ability to extract and evaluate pertinent data and to apply engineering analysis techniques in the solution of unfamiliar problems in medical engineering (EA6m, EA6M)
Knowledge of characteristics of particular equipment, processes or products, with extensive knowledge and understanding of a wide range of engineering materials and components(P2m)
Ability to apply relevant practical and laboratory skills(P3)
Understanding of the use of technical literature and other information sources(P4)
Understanding of appropriate codes of practice and industry standards (P6)
Ability to work with technical uncertainty (P8)
Apply their skills in problem solving, communication, information retrieval, working with others, and the effective use of general IT facilities (G1)
Plan self-learning and improve performance, as the foundation for lifelong learning/CPD (G2)
Knowledge, understanding and skills to work with information that may be incomplete or uncertain, quantify the effect of this on the design and, where appropriate, use theory or experimental research to mitigate(D9M)
Knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations(D10M)
Advanced level knowledge and understanding of a wide range of engineering materials and components (P12M)
A thorough understanding of current practice and its limitations, and some appreciation of likely new developments (P9M)



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 typeNumberLength hoursStudent hours
Lecture51.005.00
Lecture52.0010.00
Practical12.002.00
Practical14.004.00
Seminar41.004.00
Seminar42.008.00
Private study hours117.00
Total Contact hours33.00
Total hours (100hr per 10 credits)150.00

Private study

Basics of experimental design, measurements and analysis are covered during the lectures and seminars. Students are expected to further review this material in private and independently. Additionally, related handouts and exercises are provided to the students at the end of each session. Students are expected to work on handouts independently using the material provided during the corresponding sessions. Students are then expected to engage during the interactive sessions by discussing the result of their reflection and/or analysis.

Opportunities for Formative Feedback

An online discussion board will be monitored during specified times each week.
Designated weekly office hour in which students can seek 1-2-1 support.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
PracticalLab report 120.00
PracticalLab report 260.00
In-course MCQClass test20.00
Total percentage (Assessment Coursework)100.00

Lab Report 2 will constitute 80% of resit mark

Reading list

There is no reading list for this module

Last updated: 02/09/2022

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