ele3min measurement and instrumentation
MEASUREMENT AND INSTRUMENTATION
ELE3MIN
2019
Credit points: 15
Subject outline
Data is essential to the design and operation of modern engineering systems. To appreciate the quality of the acquired data, and apply it effectively, it is essential that engineers have a thorough understanding of measurement processes and uncertainty. The subject firstly investigates analogue measurement techniques, and the inherent sources of error and noise. Secondly, the conversion to the digital environment is explored, including examination of the impact of error and noise on the resultant data product, and hence the reliability and applicability of its use in an engineering environment.
SchoolSchool Engineering&Mathematical Sciences
Credit points15
Subject Co-ordinatorAlex Stumpf
Available to Study Abroad StudentsYes
Subject year levelYear Level 3 - UG
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites ELE1IEL and MAT1NLA and MAT1CDE
Co-requisitesN/A
Incompatible subjects ELE3IES
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Fundamentals of Industrial Instrumentation and Process Control | Prescribed | Dunn, W., 2005 | McGraw-Hill |
| Readings | Principles of Measurement Systems | Prescribed | Bentley J., 2005 | Pearson |
Graduate capabilities & intended learning outcomes
01. Describe sources of error and noise in a measurement system and techniques which may be used to mitigate these errors.
- Activities:
- Lectures and tutorials describe the error sources and mitigation techniques. Laboratories allow students to experiment with inducing noise and mitigating error from data measurements.
02. Acquire analog data signals into a digital domain and describe relevant considerations including quantisation, sampling rate and linearity.
- Activities:
- The knowledge gained in lectures and blended tutorials is then applied in a laboratory context by measuring and analysing a variety of analog signals with different characteristics (e.g. frequency, magnitude).
03. Construct and analyse simple amplifier circuits to ascertain and document their functionality through measurements.
- Activities:
- Lectures and tutorials provide the fundamental theory for design and analysis of circuits which is then applied in labs with practical signals and measurements.
04. Analyse and describe the functionality and purpose of standard filter types.
- Activities:
- Lectures and tutorials describe the different filter types which are then experimentally applied in laboratory classes.
05. Perform measurements with remote (wireless/wired) data acquisition tools and discuss sources of error related to data acquisition and transmission.
- Activities:
- Remote sensor acquisition is discussed in lectures and tutorials and this then experimentally observed in laboratories.
Subject options
Select to view your study options…
Bendigo, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAlex Stumpf
Class requirements
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 to week 22 and delivered via online.
"All online video content"
Laboratory ClassWeek: 10 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"3 hours problem solving in laboratory"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 2 hour written Exam (2,000-words equivalent) | 60 | 01, 02, 04, 05 | |
| Laboratory design and analysis tasks (1,000-words equivalent) | Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories. | 20 | 01, 02, 03, 04, 05 |
| 3 Written Assignments (750-words total) | 10 | 01, 02, 04, 05 | |
| Fortnightly online multiple choice quizzes (750-words equivalent total) | These quizzes will help keep students on track with online lecture content and provide formative feedback about what they are learning | 10 | 01, 02, 04, 05 |
Melbourne, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorAlex Stumpf
Class requirements
LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
TutorialWeek: 11 - 22
One 1.0 hours tutorial per week on weekdays during the day from week 11 to week 22 and delivered via online.
"All online video content"
Laboratory ClassWeek: 10 - 22
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"3 hours problem solving in laboratory"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| 2 hour written Exam (2,000-words equivalent) | 60 | 01, 02, 04, 05 | |
| Laboratory design and analysis tasks (1,000-words equivalent) | Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories. | 20 | 01, 02, 03, 04, 05 |
| 3 Written Assignments (750-words total) | 10 | 01, 02, 04, 05 | |
| Fortnightly online multiple choice quizzes (750-words equivalent total) | These quizzes will help keep students on track with online lecture content and provide formative feedback about what they are learning | 10 | 01, 02, 04, 05 |