Note: This unit version is currently under review and is subject to change!

COMP5047: Pervasive Computing (2017 - Semester 2)

Download UoS Outline

Unit: COMP5047: Pervasive Computing (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Information Technologies
Unit Coordinator/s: Associate Professor Kummerfeld, Bob
Professor Kay, Judy
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: http://edstem.org/
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This is an advanced course on Pervasive Computing, with a focus on the "Internet of Things" (IoT). It introduces the key aspects of the IoT and explores these in terms of the new research towards creating user interfaces that disappear into the environment and are available pervasively, for example in homes, workplaces, cars and carried.
Assumed Knowledge: Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials. Ability to conduct a literature search. Ability to write reports of work done.
Department Permission Department permission is required for enrollment in this session.
Lecturer/s: Associate Professor Kummerfeld, Bob
Tutor/s: TBC
Timetable: COMP5047 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Studio class 3.00 1 13
T&L Activities: Formal classes consist of a three-hour integrated lecture and practical session. This will involve class discussions based on the homework readings for each week, lecture material interspersed with class activities that range from discussions to technical work, and work towards a project involves the design, building and evaluation of a pervasive computing prototype system.

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
The essence of the course is to learn how to design pervasive computing systems, where this includes learning the relevant theory, its application, the techniques and their use. Design (Level 5)
The lectures and all practical and project work will build discipline specific expertise in the area of building pervasive computing systems. Engineering/IT Specialisation (Level 5)
The assessment of the group project is based on a report and a demonstration. These will develop written and spoken communication skills. The practical class activities and the final examination will include short answers questions that will require good written communication skills. Communication (Level 4)
The major project involves working in a team. Project and Team Skills (Level 4)

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 5)
1. Ability to analyse a context to define the overall goals of a new pervasive system
2. Ability to select suitable techniques for establishing requirements for a pervasive computing system, including the usability requirements. Ability to make use of these techniques.
3. Ability to apply standard design approaches to creating a user interface, and to adapt these to the particular emerging demands of pervasive computing systems.
4. Ability to evaluate interfaces, based upon both discount and user-based techniques. Ability to select the most appropriate technique for a particular situation and to justify this.
5. Ability to explain how human factors influence aspects of design of interfaces.
6. Ability to bring together design and evaluation techniques to create a prototype interface that is designed to address a defined user need.
Communication (Level 4)
7. Write a report on the prototype system created.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Homework and class activities No 0.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7,
2 Project No 60.00 Multiple Weeks 1, 2, 3, 4, 6, 7,
3 Final Exam No 40.00 Exam Period 1, 2, 3, 4, 5, 6, 7,
Assessment Description: Homework and class activities: This is a formative mark, with grades and feedback intended to inform the student about the quality of their work and area for improvement. Homework is due at the start of each class and will be graded for feedback. There will be graded tasks during labs.

Project: Project to create a prototype pervasive computing system, evaluate it and report on the approaches used for the design and evaluation. The assessment will be based on a ``Work-in-Progress`` paper in the supplied template, and a demo and presentation.

Final Exam: Final examination. This assessed the full content of the classes and project work. The exam mark, expressed as a percentage + 10% is a cap on the final grade. (So, for example, a pass on the unit requires an exam mark of at least 40%; a final mark of 60 requires an exam mark of at least 50%).
Assessment Feedback: Weekly reports on readings, seminar and studio activities are graded on a scale A, B, C, D. This is purely as formative feedback and is otherwise judged as a pass/fail part of the participation mark. To pass the unit, students must earn 80% on this participation mark.
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.
Minimum Pass Requirement It is a policy of the School of Information Technologies that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of IT may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

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.
Online Course Content: http://edstem.org/
Note on Resources: The website provides links to the weekly homework readings.

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 Overview of course, Technical Topic: Pervasive Computing and the Internet of Things
Week 2 Technical Topic: Introduction to Arduino
Week 3 Technical Topic: Internet of Things, tools and systems
Week 4 Technical Topic: IoT communications and networking
Week 5 Project start, Architectures for IoT
Week 6 IoT in the cloud
Week 7 IoT in the cloud, IoT security
Week 8 IoT security (continued)
Week 9 HCI Topic: testing pervasive interfaces
Week 10 HCI Topic: Field Studies
Week 11 Privacy and Pervasive Computing
Week 12 Personified interfaces and personal robots
Week 13 Student project presentations, Review and Exam
Exam Period Assessment Due: Final Exam

Course Relations

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

Course Year(s) Offered
Master of Professional Engineering (Software) 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018
Bachelor of Advanced Computing/Bachelor of Commerce 2018
Bachelor of Advanced Computing (Computational Data Science) 2018
Bachelor of Advanced Computing (Computing Science Major) 2018
Bachelor of Advanced Computing (Information Systems Major) 2018
Bachelor of Advanced Computing (Software Development) 2018
Bachelor of Computer Science and Technology (Honours) 2015, 2016, 2017
Bachelor of Computer Science and Technology (Honours) 2014 2013, 2014
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, 2018
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017, 2018
Software / Science 2016, 2017, 2018
Software / Law 2016, 2017, 2018
Software Engineering (till 2014) 2010, 2011, 2012, 2013, 2014
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Project Management 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Bachelor of Information Technology 2015, 2016, 2017
Information Technology / Arts 2015, 2016, 2017
Information Technology / Commerce 2015, 2016, 2017
Information Technology / Medical Science 2015, 2016, 2017
Information Technology / Science 2015, 2016, 2017
Bachelor of Information Technology (Computer Science) 2014 and earlier 2009, 2010, 2011, 2012, 2013, 2014
Information Technology (Computer Science)/Arts 2012, 2013, 2014
Information Technology (Computer Science) / Commerce 2012, 2013, 2014
Information Technology (Computer Science) / Medical Science 2012, 2013, 2014
Information Technology (Computer Science) / Science 2012, 2013, 2014
Information Technology (Computer Science) / Law 2012, 2013, 2014
Bachelor of Information Technology (Information Systems) 2014 and earlier 2010, 2011, 2012, 2013, 2014
Information Technology (Information Systems)/Arts 2012, 2013, 2014
Information Technology (Information Systems) / Commerce 2012, 2013, 2014
Information Technology (Information Systems) / Medical Science 2012, 2013, 2014
Information Technology (Information Systems) / Science 2012, 2013, 2014
Information Technology (Information Systems) / Law 2012, 2013, 2014
Information Technology / Law 2015, 2016, 2017
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018
Graduate Diploma in Computing 2015, 2016, 2017, 2018
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018
Graduate Certificate in Information Technology (till 2014) 2012, 2013, 2014
Graduate Diploma in Information Technology (till 2014) 2012, 2013, 2014
Master of Engineering 2013, 2014, 2015, 2016, 2017, 2018
Master of Engineering (Electrical) 2011, 2012
Master of Engineering (Network) 2012
Master of Engineering (Power) 2011, 2012
Master of Engineering (Wireless) 2012
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 Information Technology (till 2014) 2014
Master of Professional Engineering (Electrical) 2012, 2013, 2014, 2015, 2016, 2017, 2018

Course Goals

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

Attribute Practiced Assessed
Design (Level 5) Yes 82.3%
Engineering/IT Specialisation (Level 5) Yes 0%
Communication (Level 4) Yes 17.72%
Professional Conduct (Level 4) No 0%
Project and Team Skills (Level 4) Yes 0%

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.