Undergraduate - UnitMEC3458 - Experimental project

This unit entry is for students who completed this unit in 2015 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Level	Undergraduate
Faculty	Faculty of Engineering
Organisational Unit	Department of Mechanical and Aerospace Engineering
Monash Passport category	Research Challenge (Investigate Program)
Offered	Clayton Second semester 2015 (Day) Malaysia Second semester 2015 (Day)
Coordinator(s)	Dr Shahin Khoddam/Professor W K Chiu/Dr B Chen (Clayton); Dr Foo Ji Jinn (Malaysia)

Synopsis

Introduction to data acquisition across a range data types, analogue-digital sampling and signal conditioning. Data acquisition and processing functions using LabView. Current data measurement technologies and equipment, acquisition methodologies used in fluid dynamics, material properties, thermodynamics, control and dynamics. Data analysis methods including error analysis, validation, spectral analysis identification and interpretation of trends. Introduction to research practices, formation and testing of hypotheses as well as experiment design and project management. Communication skills and techniques, preparation of reports and oral presentations. Occupational health and safety.

Outcomes

Understanding of skills and techniques required for the acquisition of optimised meaningful experimental data
Knowledge of the important components of experimental design
Overview of current technologies available for experimentation
Knowledge of data acquisition methods
Knowledge of data analysis methods
Appreciation for the importance and application of occupational health and safety procedures
Manage and execute short and medium term projects
Form and evaluate hypotheses
Communicate results using written and oral formats
Acquire and optimise experimental data
Use data analysis techniques to explore and evaluate experimental data, including error analysis
Use LabView to acquire and analyse experimental data Apply occupational health and safety procedures.

Assessment

Written reports and oral presentations (100%)

Workload requirements

3 hour lectures, 3 hours practice sessions/laboratories (this may alternate with 2 hours lectures and 4 hours practice sessions) and 6 hours of private study per week

Chief examiner(s)

Professor Chris Davies

Prerequisites

Must have passed 96 credit points from engineering or science