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COMP5216: Mobile Computing (2019 - Semester 2)

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Unit: COMP5216: Mobile Computing (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Thilakarathna, Kanchana
Session options: Semester 2
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Mobile computing is becoming a main stream for many IT applications, due to the availability of more and more powerful and affordable mobile devices with rich sensors such as cameras and GPS, which have already significantly changed many aspects in business, education, social network, health care, and entertainment in our daily life. Therefore it has been critical for students to be equipped with sufficient knowledge of such new computing platform and necessary skills. The unit aims to provide an in-depth overview of existing and emerging mobile computing techniques and applications, the eco-system of the mobile computing platforms, and its key building components. The unit will also train students with hand-on experiences in developing mobile applications in a broad range of areas.
Assumed Knowledge: COMP5214 OR COMP9103. Software Development in JAVA, or similar introductory software development units.
Lecturer/s: Thilakarathna, Kanchana
Timetable: COMP5216 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Laboratory 1.00 1 10
3 Independent Study 7.00 1 13
T&L Activities: This subject uses a combination of weekly lectures, practical labs and a major project.

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
Students will be trained to perform tasks with domain specific maths knowledge and tools. (1) Maths/ Science Methods and Tools (Level 3)
Students will be exposed to diverse application domains and specialised knowledge on various mobile computing platforms through both theoretical and practical training. (2) Engineering/ IT Specialisation (Level 4)
Students will gain capacity for exploring their interests in a broad range of domains by utilising mobile computing techniques. (3) Problem Solving and Inventiveness (Level 4)
Proficiently to complete a full mobile design cycle with technical specifications for solving a specific problem in related domains. (4) Design (Level 4)
Students will practice their in-depth communication skills through proposal and report writing and project presentations. (6) Communication and Inquiry/ Research (Level 4)
Students will be trained with different roles through the whole cycle of completing the team project. (7) Project and Team Skills (Level 4)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

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 4)
1. Obtain the capacity to articulate multimedia processing techniques and present applications.
(7) Project and Team Skills (Level 4)
2. Obtain project management and team coordination skills.
(4) Design (Level 4)
3. Apply learned knowledge and skills to solve problems with mobile technology.
(2) Engineering/ IT Specialisation (Level 4)
4. Understand the mobile computing ecosystem.
5. Obtain competent skills on mobile application development.
6. Understand emerging application domains and techniques of mobile computing.
7. Understand project management in mobile application development.
(3) Problem Solving and Inventiveness (Level 4)
8. Obtain skills in exploring broad interests relevant to mobile computing.
(1) Maths/ Science Methods and Tools (Level 3)
9. Obtain practical skills in system modelling & design and computing techniques.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Project Proposal Yes 10.00 Week 6 1, 3, 4, 6, 7, 8,
2 Lab Skills 1 No 5.00 Week 5 1, 3, 5, 9,
3 Lab Skills 2 No 5.00 Week 8 1, 3, 5, 9,
4 Lab Skills 3 No 10.00 Week 11 1, 3, 5, 9,
5 Project Final Yes 30.00 Week 12 1, 2, 3, 4, 5, 6, 7, 9,
6 Final Exam No 40.00 Exam Period 1, 3, 4, 6, 7, 8, 9,
Assessment Description: Project Proposal and Final: The project assignment asks students to complete a mobile application and consists of two parts: proposal (Due week 6) and final delivery (Due week 12).

Lab Skills 1,2,3: Lab skill component assesses the progress of practical programming tasks for mobile application development.

Final Exam: Obtaining at least 40% of the available marks from the written exam is a requirement to pass the course.

Tasks that are done in scheduled times cannot be submitted late, except if following the procedures for Special Consideration. For other tasks, a late penalty will be imposed as follows;

Consistent penalty of 5% per day late, e.g.:

- A good assignment that would normally get 9/10 and is 2 days late loses 10% of the full 10 marks, i.e. new mark = 8/10

- An average assignment that would normally get 5/10 and is 5 days late loses 25% of the full 10 marks, i.e. new mark = 2.5/10

Assignments more than 10 days late get 0.
Assessment Feedback: The tutor(s) will encourage interactive learning and provide an opportunity for students to test their understanding in a classroom setting.

The solutions of the assignments will be discussed in the tutorial/lab classes and provide an opportunity for the students to learn by comparing their solutions to the recommended ones.
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: A course website will be setup for students to access various learning materials.

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/Tutorial: Introduction
Lab: Android Basics
Week 2 Lecture/Tutorial: Mobile Programming 1
Lab: Handling Interactions
Week 3 Lab: Local Data Storage
Lecture/Tutorial: Mobile Programming 2
Week 4 Lecture/Tutorial: Mobile Programming 3
Lab: Cloud Service
Week 5 Lecture/Tutorial: Advanced concepts 1 - Networking
Lab: Media Access
Assessment Due: Lab Skills 1
Week 6 Lecture/Tutorial: Advanced concepts 2 - Security & Privacy
Lab: Augmented/Virtual Reality on Smartphones
Assessment Due: Project Proposal
Week 7 Lecture/Tutorial: Advanced concepts 3 - Cloud Computing & Energy
Lab: Location Access
Week 8 Lecture/Tutorial: Mobile Innovation - Beyond Smartphones
Lab: Access to Sensors
Assessment Due: Lab Skills 2
Week 9 Lecture/Tutorial: [Public Holiday]
Week 10 Lecture/Tutorial: Industry Guest Lecture
Lab: User and Account Management
Week 11 Lecture/Tutorial: Mobile Innovation - Cross-platform App Development
Lab: App Analytics and Publishing
Assessment Due: Lab Skills 3
Week 12 Lecture: Project Presentation
Assessment Due: Project Final
Week 13 Lecture: Review and reflection
Lab: Exam Preparation
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
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
Software Mid-Year 2019, 2020
Software 2019, 2020
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/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 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
Graduate Certificate in Information Technology (till 2014) 2014
Graduate Diploma in Information Technology (till 2014) 2014
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 Information Technology (till 2014) 2014

Course Goals

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

Attribute Practiced Assessed
(6) Communication and Inquiry/ Research (Level 4) Yes 11%
(7) Project and Team Skills (Level 4) Yes 3%
(5) Interdisciplinary, Inclusiveness, Influence (Level 4) No 0%
(4) Design (Level 4) Yes 16%
(2) Engineering/ IT Specialisation (Level 4) Yes 50%
(3) Problem Solving and Inventiveness (Level 4) Yes 9%
(1) Maths/ Science Methods and Tools (Level 3) Yes 11%

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.