MEASUREMENT AND INSTRUMENTATION
ELE3MIN
2020
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.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Alex Stumpf
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 3 - UG
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: MAT1NLA AND ELE1IEL AND MAT1CDE
Co-requisites: N/A
Incompatible subjects: ELE3IES
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Learning resources
Fundamentals of Industrial Instrumentation and Process Control
Resource Type: Book
Resource Requirement: Prescribed
Author: Dunn, W.
Year: 2005
Edition/Volume: N/A
Publisher: McGraw-Hill
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Principles of Measurement Systems
Resource Type: Book
Resource Requirement: Prescribed
Author: Bentley J.
Year: 2005
Edition/Volume: N/A
Publisher: Pearson
ISBN: N/A
Chapter/article title: N/A
Chapter/issue: N/A
URL: N/A
Other description: N/A
Source location: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Bendigo, 2020, Semester 1, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Alex Stumpf
Class requirements
Laboratory ClassWeek: 11 - 22
One 3.00 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
3 hours problem solving in laboratory
LectureWeek: 10 - 10
One 1.00 hour lecture other recurrence on weekdays during the day from week 10 to week 10 and delivered via face-to-face.
Face-to-face lecture only in week 1
LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via online.
Online lectures for the remainder of the subject
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
2 hour written Exam (2,000-words equivalent) | N/A | N/A | No | 60 | SILO1, SILO2, SILO4, SILO5 |
Laboratory design and analysis tasks (1,000-words equivalent)Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4, SILO5 |
3 Written Assignments (750-words total) | N/A | N/A | No | 10 | SILO1, SILO2, SILO4, SILO5 |
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 | N/A | N/A | No | 10 | SILO1, SILO2, SILO4, SILO5 |
Melbourne (Bundoora), 2020, Semester 1, Blended
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Alex Stumpf
Class requirements
Laboratory ClassWeek: 11 - 22
One 3.00 hours laboratory class per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
3 hours problem solving in laboratory
LectureWeek: 10 - 10
One 1.00 hour lecture other recurrence on weekdays during the day from week 10 to week 10 and delivered via face-to-face.
Face-to-face lecture only in week 1
LectureWeek: 10 - 22
Two 1.00 hour lecture per week on weekdays during the day from week 10 to week 22 and delivered via online.
Online lectures for the remainder of the subject
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
2 hour written Exam (2,000-words equivalent) | N/A | N/A | No | 60 | SILO1, SILO2, SILO4, SILO5 |
Laboratory design and analysis tasks (1,000-words equivalent)Students demonstrate completed tasks to demonstrators across ten 2-hour laboratories. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4, SILO5 |
3 Written Assignments (750-words total) | N/A | N/A | No | 10 | SILO1, SILO2, SILO4, SILO5 |
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 | N/A | N/A | No | 10 | SILO1, SILO2, SILO4, SILO5 |