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INFO5992: Understanding IT Innovations (2020 - Semester 1)

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Unit: INFO5992: Understanding IT Innovations (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Dr Kim, Jinman
Session options: Semester 1, Semester 2
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: 24 credit points of units at 5000-level or above
Prohibitions: PMGT5875.
Brief Handbook Description: An essential skill for an IT manager is the ability to keep up-to-date with emerging technologies, and be able to evaluate the significance of these technologies to their organisation's business activities. This unit of study is based around a study of current technologies and the influence of these technologies on business strategies.

Important trends in innovation in IT are identified and their implications for innovation management explored. Major topics include: drivers of innovation; the trend to open information ("open source") rather than protected intellectual property; and distribution of innovation over many independent but collaborating actors.

On completion of this unit, students will be able to identify and analyse an emerging technology and write a detailed evaluation of the impact of this technology on existing business practices.
Assumed Knowledge: None.
Lecturer/s: Dr Kim, Jinman
Timetable: INFO5992 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.00 1 13
3 Independent Study 6.00 13
T&L Activities: A variety of learning situations will be employed during the unit of study, including lectures, recommended reading, a few short exercises during class, and discussions of cases. To benefit fully from this unit it is necessary to participate fully in all aspects of the unit of study.

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.

(2) Engineering/ IT Specialisation (Level 3)
1. Understanding of the requirements to manage innovations
2. Ability to analyze the impact of technology innovations and experience with analyzing case studies.
3. Explain the major aspects (sources and types) of IT innovation
4. Perform the application of the theoretical concepts of innovation diffusion in IT industries
5. Evaluate the benefits of the concepts in open innovation
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Quiz 1 No 5.00 Week 4 1, 2, 3,
2 Innovation Report Yes 15.00 Week 8 2, 3, 4, 5,
3 Quiz 2 No 5.00 Week 9 1, 2, 3, 4, 5,
4 Presentation - IT Innovation Ideas Yes 10.00 Week 11 2,
5 Peer-review Participation No 5.00 Week 13 2, 3, 4, 5,
6 Final Exam No 60.00 Exam Period 1, 3, 4, 5,
Assessment Description: Quiz: 2 Multiple Choice Questions (MCQ) in week 4 and 9

Individual report: Research report on a IT innovation technology applied to a chosen industry (Individual and Group Work)

Presentation: Presentation of a IT innovation idea to the class as a group (Group Work)

Participation: Attendance and peer-review of student presentations (Individual Work)

Final Exam: Final exam covering all material covered in lectures, guest lectures, assigned reading and class discussion

This course will use text-based similarity detecting software (Turnitin) for all text-based written assignments. Deadlines for assignments are set on the assumption that students may experience minor setbacks caused by sickness, computer breakdown etc. In this context, ‘minor’ means ‘causing a delay of up to three working days’. Extensions will not be granted for minor setbacks. Late work: In the interests of fairness to all students, the School of Information Technologies policy states that late work cannot be accepted. In exceptional cases, late work must be submitted directly to the unit of study coordinator accompanied by an application for Special Consideration as outlined on page 16 of the School of Information Technologies Postgraduate Enrollment Guide.
Assessment Feedback: Teaching team will give feedback to the assignments and the quiz. Assignment results will be published on the course web site. Students are
required to check their results. Any errors or omissions must be reported to the unit coordinator, with appropriate evidence, within 5 working
days (a week) of being published. 5 days after being published, marks are considered to have been confirmed and will not subsequently be
altered.
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: Through University of Sydney eLearning portal
Note on Resources: The lecture notes are an assimilation of the above texts and other reference material.

Additional reading material will be provided as appropriate for specific topics a week prior to the lecture.

Details of specific unit of study readings are given on the course website. Other material may be specified through the unit of study web page. All material in the specified readings is examinable.

The von Hippel recommended text can be accessed free of charge from: http://web.mit.edu/evhippel/www/democ.htm

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: UoS Introduction; Definition of IT Innovation; IT Innovation System; IT Innovation in Australia
Tutorial: Welcome to your tutorial; Importance of innovation to a Country
Week 2 Lecture: Introduction to Technological / IT innovation; Examples of IT innovation in industry sectors; Type and Source of Innovation
Tutorial: Massive Open Online Courses – Enabling technologies and Peer-review
Week 3 Lecture: Dynamics of Technological / IT Innovation; Adoption of Technology; Dominant Design
Tutorial: Design Dominance in the Smartphone market
Individual Report Introduction
Week 4 Lecture: Disruptive Innovation; Industry Value Chain; Value Network analysis
Tutorial: Cognitive IT services and its value chain
Assessment Due: Quiz 1
Week 5 Lecture: Distributed innovation I: Open / Closed innovation; Platform innovation; Web APIs
Tutorial: Web API considerations
Group Presentation – Topic Selection
Week 6 Tutorial: Innovative Tech Practice – Open source Geolocation and Maps
Lecture: Distributed innovation II: Crowd innovations; Free and Open source software
Week 7 Lecture: Distributed innovation III: User innovation; Open Data
Tutorial: Maker Movement and Technology
Week 8 Lecture: Innovation by Start-up companies and Opportunities
Tutorial: Business Model Canvas
Assessment Due: Innovation Report
Week 9 Tutorial: IT Innovation culture
Lecture: Organisational Culture; Structure supporting innovation
Assessment Due: Quiz 2
Week 10 Lecture: IT Innovation Management
Tutorial: Group Presentation preparations and feedback
Week 11 Lecture: Innovation ecosystem; Sydney’s innovation ecosystem
Other: Group Presentations / Peer Review
Assessment Due: Presentation - IT Innovation Ideas
Week 12 Lecture: Judging IT Innovations
Other: Group Presentations / Peer Review
Week 13 Lecture: UoS Review; UoS comments / questions
Other: Group Presentations (Short pitch of your Innovation company)
Assessment Due: Peer-review Participation
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 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
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
Bachelor of Advanced Computing (Computer Science Major) 2018, 2019
Bachelor of Advanced Computing (Information Systems Major) 2018, 2019
Bachelor of Advanced Computing (Software Development) 2018, 2019
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
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 Management (till 2014) 2013, 2014
Graduate Diploma in Information Technology Management (till 2014) 2013, 2014
Master of Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management (till 2014) 2011, 2012, 2013, 2014
Software/Science (Medical Science Stream) 2018, 2019, 2020

Course Goals

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

Attribute Practiced Assessed
(8) Professional Effectiveness and Ethical Conduct (Level 3) No 0%
(7) Project and Team Skills (Level 3) No 0%
(6) Communication and Inquiry/ Research (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 3) No 100%

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.