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ELEC5516: Electrical and Optical Sensor Design (2019 - Semester 1)

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Unit: ELEC5516: Electrical and Optical Sensor Design (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Li, Liwei
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: The course focuses on environmentally friendly, intelligent sensors for multiple parameters monitoring to be used in power network and broadband network. The concepts learnt in this unit will be heavily used in various engineering applications in power systems, fiber optic systems and health monitoring. These concepts include

• Theory, design and applications of optical fiber sensors

• Sensor technologies for the growth of smart grid in power engineering

• Actuators and motors for electrical sensor and its applications

• Wearable sensor technologies for ehealth monitoring
Assumed Knowledge: Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis
Lecturer/s: Dr Li, Liwei
Timetable: ELEC5516 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 3.00 1 8
3 Laboratory 3.00 1 4
4 E-Learning 1.00 1 13
5 Independent Study 2.00 2 13
T&L Activities: E-Learning: Seminar and online discussion/assessment.

Independent Study: Self-study

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

(6) Communication and Inquiry/ Research (Level 2)
1. Fluency in communicating concisely and accurately using varied formats such as written and oral, to deliver specific engineering project information.
(7) Project and Team Skills (Level 1)
2. Capacity to work in a team and promote creative team interaction to encourage contribution from all members to deliver specific engineering projects and assignments.
(5) Interdisciplinary, Inclusiveness, Influence (Level 3)
3. Ability to design, evaluate, and select the appropriate sensors according to practical engineering applications.
(4) Design (Level 3)
4. Capacity to analyze sensor performance and present an initial design for engineering applications.
(2) Engineering/ IT Specialisation (Level 4)
5. Ability to understand the basic principles and performance characteristics of common electrical and fiber sensor technologies.
6. Ability to formulate analytical modeling and perform software simulation to determine the key characteristics of specified sensors.
(3) Problem Solving and Inventiveness (Level 3)
7. Ability to identify information needs and target information searches effectively and efficiently using varied sources such as internet, library databases and electronic publications as part of specific engineering projects.
8. Proficiency in applying concepts, principles and techniques to analyse sensors.
(1) Maths/ Science Methods and Tools (Level 4)
9. Ability to demonstrate an understanding of system concepts of sensor technologies.
10. Ability to select and use maths/science models and tools for performance analysis of sensor devices.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Laboratory Yes 20.00 Multiple Weeks 1, 2, 4, 5, 6, 7, 9,
2 Assignment No 20.00 Multiple Weeks 3, 5, 6, 7, 8, 9, 10,
3 Exam No 60.00 Exam Period 1, 3, 4, 5, 6, 8, 9, 10,
Assessment Description: Assignment: Assignment and project work

Final Exam: Final exam
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
  • Electronic Instrumentation
  • Fiber-optic sensors
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction: sensors and applications.
Week 2 Engineering Measurement with Sensors (general concepts, static and dynamic measurement)
Week 3 Signal conditioning (filters, noise reduction) and data acquisition
Week 4 Potentiometers, Capacitive sensors and Inductive sensors, Hall effect sensors
Week 5 Principles of electromagnetics
Week 6 Electromagnetic actuators (relays) and motors (AC/DC/Step motors)
Week 7 Optical Sensor Intruction
Week 8 Light sources and photodetectors
Week 9 Optical devices
Week 10 Optical strain and temperature sensor
Week 11 Optical sensors for power systems and Guest Lecture
Week 12 Biophotonic sensors
Week 13 Fiber optic sensor review
Exam Period Assessment Due: Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Electrical Mid-Year 2016, 2017, 2018, 2019, 2020
Electrical/ Project Management 2019, 2020
Electrical 2015, 2016, 2017, 2018, 2019, 2020
Electrical / Arts 2016, 2017, 2018, 2019, 2020
Electrical / Commerce 2016, 2017, 2018, 2019, 2020
Electrical / Medical Science 2016, 2017
Electrical / Music Studies 2016, 2017
Electrical / Project Management 2016, 2017, 2018, 2020
Electrical / Science 2016, 2017, 2018, 2019, 2020
Electrical/Science (Health) 2018, 2019, 2020
Electrical (Computer) 2015
Electrical / Law 2016, 2017, 2018, 2019, 2020
Electrical (Power) 2015
Electrical (Telecommunications) 2015
Software Mid-Year 2016, 2017, 2018, 2019, 2020
Software/ Project Management 2019, 2020
Software 2015, 2016, 2017, 2018, 2019, 2020
Software / Arts 2016, 2017, 2018, 2019, 2020
Software / Commerce 2016, 2017, 2018, 2019, 2020
Software / Medical Science 2016, 2017
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018, 2019, 2020
Software/Science (Health) 2018, 2019, 2020
Software / Law 2016, 2017, 2018, 2019, 2020
Electrical/Science (Medical Science Stream) 2018, 2019, 2020
Master of Engineering 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Accelerated) (Electrical) 2019, 2020
Master of Professional Engineering (Accelerated) (Intelligent Information Engineering) 2020
Master of Professional Engineering (Accelerated) (Power) 2019, 2020
Master of Professional Engineering (Accelerated) (Telecommunications) 2019, 2020
Master of Professional Engineering (Electrical) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Intelligent Information Engineering) 2020
Master of Professional Engineering (Power) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Telecommunications) 2015, 2016, 2017, 2018, 2019, 2020
Software/Science (Medical Science Stream) 2018, 2019, 2020

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(6) Communication and Inquiry/ Research (Level 2) No 9%
(7) Project and Team Skills (Level 1) No 4%
(5) Interdisciplinary, Inclusiveness, Influence (Level 3) No 9%
(4) Design (Level 3) No 9%
(2) Engineering/ IT Specialisation (Level 4) No 20%
(3) Problem Solving and Inventiveness (Level 3) No 22%
(1) Maths/ Science Methods and Tools (Level 4) No 27%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.