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COMP5047: Pervasive Computing (2019 - Semester 2)

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Unit: COMP5047: Pervasive Computing (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Professor Kay, Judy
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit: http://sydney.edu.au/engineering/it/~comp5047/
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.

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. 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.
7. Write a report on the prototype system created.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Homework and class activities No 15.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7,
2 Project No 35.00 Multiple Weeks 1, 2, 3, 4, 6, 7,
3 Final Exam No 50.00 Exam Period 1, 2, 3, 4, 5, 6, 7,
Assessment Description: Homework and class activities: There will be two quizzes in labs during the semester.

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 two reports, a video and a presentation.

Final Exam: Final examination. This assesses the full content of the classes and project work.
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 Computer Science 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 Computer Science 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://sydney.edu.au/engineering/it/~comp5047/
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: Internet of Things
Week 2 Technical Topic: Personalisation, HCI Topic: Testing
Week 3 Technical Topic: Surface computing, HCI Topic: Testing
Week 4 Technical Topic: Mobile personalisation, HCI Topic: Testing
Week 5 Project start, HCI Topic: People, cognitive and physiological design drivers
Week 6 Technical Topic: Android, HCI Topic: Big picture design
Week 7 Technical Topic: Android, HCI Topic: Design
Week 8 Technical Topic: Android, HCI Topic: Design
Week 9 HCI Topic: Focus Groups, experimental studies
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 (Accelerated) (Software) 2019, 2020
Master of Professional Engineering (Software) 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Commerce 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Science 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Science (Health) 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Science (Medical Science) 2018, 2019, 2020
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019, 2020
Bachelor of Advanced Computing (Computer Science Major) 2018, 2019, 2020
Bachelor of Advanced Computing (Information Systems Major) 2018, 2019, 2020
Bachelor of Advanced Computing (Software Development) 2018, 2019, 2020
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, 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) 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
Bachelor of Information Technology/Bachelor of Arts 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Commerce 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Medical Science 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of 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
Bachelor of Information Technology/Bachelor of Laws 2015, 2016, 2017
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 Computing 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
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, 2019, 2020
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, 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 Information Technology (till 2014) 2014
Master of Professional Engineering (Accelerated) (Electrical) 2019, 2020
Master of Professional Engineering (Electrical) 2012, 2013, 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 4) No 0%
(7) Project and Team Skills (Level 4) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 5) No 0%
(4) Design (Level 5) No 0%
(3) Problem Solving and Inventiveness (Level 5) No 0%
(2) Engineering/ IT Specialisation (Level 5) 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.