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ELEC5622: Signals, Software and Health (2018 - 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: Dr Yuan, Dong
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.
Timetable: ELEC5622 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Project Work - in class 3.00 1 7
2 Project Work - own time 6.00 7
3 Presentation 2.00 1 1
4 Tutorial/labs 3.00 1 12

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Learn to design a data analysis and visualization application using appropriate programming languages for each project. Design (Level 4)
Advanced multidisciplinary project, building a system combining physiology, tracking and other sensors. This project will be co-supervised in collaboration with industry and academic partners. Engineering/IT Specialisation (Level 4)
Students write a proposal document and orally present to the class and external assessors. Communication (Level 3)
Students develop a health application in groups of 4-5. Each member is responsible for a component. Project and Team Skills (Level 3)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

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.

Design (Level 4)
1. Be able to Conceive and Design an innovative health software application using sensing devices.
Engineering/IT Specialisation (Level 4)
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.
Communication (Level 3)
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.
Project and Team Skills (Level 3)
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 Quiz 1 No 10.00 Week 4 2,
2 Project Proposal Yes 10.00 Week 6 1, 3,
3 Mid-term exam No 30.00 Week 7 2,
4 Project Yes 50.00 Week 13 3, 4,
Assessment Description: Project: Proposal, Prototype, Final application & Presentation. Projects will be organized around ‘clients’ at the Charles Perkins Centre (CPC) and other organisations. Students will develop an application around the needs of these research groups and external partners. At the beginning of the semester a list of possible projects will be provided, and groups will meet with Clients. Clients will be part of the assessment. This approach is similar to that in other units of study in the ME(SE) and MPE(SE) program and aims at developing professional and technical skills needed in industry.

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

Quiz: concepts of signals, software and health used in the project.
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 . 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 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

Week Description
Week 1 Health and technology. Health related devices. Patient compliance. Health surveillance and monitoring.
Week 2 Physiological signals and the body.
Week 3 Physiological signals, data manipulation and storage.
Week 4 Behavioral signals.
Assessment Due: Quiz 1
Week 5 Systems and application development.
Week 6 GPS.
Assessment Due: Project Proposal
Week 7 Invited speaker on health and technology – health sciences.
Assessment Due: Mid-term exam
Week 8 Invited speaker on health and technology – HCI.
Week 9 Invited speaker on health and technology – Business.
Week 10 Measuring impact of interventions – Quantitative Methods.
Week 11 Measuring impact of interventions – Qualitative methods.
Week 12 Presenting to industry, customers and policy makers.
Week 13 Course Closure - conclusions.
Assessment Due: Project

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
Electrical 2015, 2016, 2017, 2018
Electrical / Arts 2016, 2017, 2018
Electrical / Commerce 2016, 2017, 2018
Electrical / Medical Science 2016, 2017
Electrical / Music Studies 2016, 2017
Electrical / Project Management 2016, 2017, 2018
Electrical / Science 2016, 2017, 2018
Electrical/Science (Health) 2018
Electrical (Computer) 2015
Electrical / Law 2016, 2017, 2018
Electrical (Power) 2015
Electrical (Telecommunications) 2015
Software Mid-Year 2016, 2017, 2018
Software 2015, 2016, 2017, 2018
Software / Arts 2016, 2017, 2018
Software / Commerce 2016, 2017, 2018
Software / Medical Science 2016, 2017
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018
Software/Science (Health) 2018
Software / Law 2016, 2017, 2018
Software Engineering (till 2014) 2014
Electrical/Science (Medical Science Stream) 2018
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018
Graduate Diploma in Health Technology Innovation 2015, 2016, 2017, 2018
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018
Master of Engineering 2014, 2015, 2016, 2017, 2018
Master of Health Technology Innovation 2015, 2016, 2017, 2018
Master of Information Technology 2015, 2016, 2017, 2018
Master of Information Technology Management 2015, 2016, 2017, 2018
Master of IT/Master of IT Management 2015, 2016, 2017, 2018
Master of Professional Engineering (Electrical) 2014, 2015, 2016, 2017, 2018
Master of Professional Engineering (Software) 2014, 2015, 2016, 2017, 2018
Software/Science (Medical Science Stream) 2018

Course Goals

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

Attribute Practiced Assessed
Design (Level 4) Yes 5%
Engineering/IT Specialisation (Level 4) Yes 40%
Communication (Level 3) Yes 30%
Project and Team Skills (Level 3) Yes 25%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.