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ELEC5622: Signals, Software and Health (2019 - Semester 2)

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Unit: ELEC5622: Signals, Software and Health (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Prof de Chazal, Philip
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit aims to introduce students to the main issues involved in producing systems that use sensor data, such as those from physiology and activity tracking, often combined with patients self-reports. As sensing devices become ubiquitous, data processing, storage and visualization techniques are becoming part of all health systems, both institutionalized and individually driven.

The unit is related to, but distinct, to health informatics - an area that focuses on the the use of computing to deliver cost efficient healthcare and the area of bioinformatics, that explores the role of computing in understanding biology at the cellular level (e.g. genome). This unit focuses on the technical and non-technical problems of developing increasingly ubiquitous devices and systems that can be used for personal and clinical monitoring.
Assumed Knowledge: None.
Lecturer/s: Prof de Chazal, Philip
Timetable: ELEC5622 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.00 1 13
2 Project Work - in class 3.00 1 7
3 Laboratory 3.00 1 5
4 Project Work - own time 6.00 7

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.

Unassigned Outcomes
1. Be able to Conceive and Design an innovative health software application using sensing devices.
2. Be able to explain what physiological signals are and how they are measured. Show proficiency in using state of the art tools and methods to collect and analyse sensing data.
3. Capacity to write reports and make presentations to communicate technical and often complex material in clear and concise terms for a specific target audience.
4. Ability to work in an interdisciplinary team effectively and efficiently by assuming clearly defined roles and responsibilities and then interacting in a constructive manner with the group by both contributing and evaluating others' viewpoints in a project where devices and software tools are deployed in a health environment.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab report No 10.00 Week 4 2, 3,
2 Quiz 1 No 10.00 Week 4 2,
3 Project Proposal Yes 10.00 Week 7 1, 3,
4 Mid-term exam* No 30.00 Week 10 2,
5 Project presentation Yes 5.00 Week 13 3, 4,
6 Project - Team discussion and demonstration Yes 5.00 Week 13 3, 4,
7 Project- Report Yes 30.00 Week 13 3, 4,
Assessment Description: * indicates an assessment must be repeated if a student misses it due to special consideration.

There may be statistically and educationally defensible methods used when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with grade descriptors.

Late penalties are 20% per day.

The University has authorised and mandated the use of text-based similarity detecting software Turnitin for all text-based written assignments.

Lab Report. Laboratory report on E-health tutorial.

Project: Proposal, Prototype, Final application & Presentation. Students will develop an application around understanding the needs of potential customers. At the beginning of the semester a list of possible projects will be provided. Students may also propose their own project.

Mid term Exam: Concepts of signals, software and health used in the project

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Quiz: Concepts of signals, software and health used in the project.
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.
Grading Schema High Distinction, HD (85-100). Show through independent work, ability to use and integrate several theoretical frameworks and tools to build health systems.

Distinction, DI (75-84). Compare data analysis and visualization through an analysis of advantages and disadvantages. Be able to relate pros and cons of using a technology in a health problem. Show consistent high quality analysis, design and communication skills.

Credit, CR (65-74). Be able to show consistent analytical and communication skills. Deliver a working prototype with quality documentation. Proficiency iusing data analysis and visualization tools (e.g. Matlab packages).

Pass, PA (50-64). Being able to complete a signal, software and health project. Showing motivation and initiative. Inconsistent programming and communication skills
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.

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 Lecture: Health and technology. Health related devices. Patient compliance. Health surveillance and monitoring.
Week 2 Lecture: Physiological signals and the body.
Week 3 Lecture: Physiological signals, data manipulation and storage.
Week 4 Lecture: Storage of data
Assessment Due: Lab report
Assessment Due: Quiz 1
Week 5 Lecture: Systems and application development.
Week 6 Lecture: Guest lecturer on development of sensors of new devices to improve diagnosis and treatment of health problems.
Week 7 Lecture: Performance assessment of devices
Assessment Due: Project Proposal
Week 8 Data transmission in embedded systems
Week 9 Other: Public Holiday: no lecture
Week 10 Mid term exam
Assessment Due: Mid-term exam*
Week 11 Lecture: Application design
Week 12 Lecture: Software development and regulation
Week 13 Project presentations
Assessment Due: Project presentation
Assessment Due: Project - Team discussion and demonstration
Assessment Due: Project- Report

Course Relations

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

Course Year(s) Offered
Electrical (till 2014) 2014
Electrical (Computer) (till 2014) 2014
Electrical (Power) (till 2014) 2014
Electrical (Telecommunications) (till 2014) 2014
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
Software Engineering (till 2014) 2014
Electrical/Science (Medical Science Stream) 2018, 2019, 2020
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Master of Engineering 2014, 2015, 2016, 2017, 2018, 2019, 2020
Master of Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Master of IT/Master of IT Management 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) (Software) 2019, 2020
Master of Professional Engineering (Electrical) 2014, 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Intelligent Information Engineering) 2020
Master of Professional Engineering (Software) 2014, 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 3) No 0%
(7) Project and Team Skills (Level 3) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) No 0%
(4) Design (Level 4) No 0%
(3) Problem Solving and Inventiveness (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 0%

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.