COMMGMT 7023OL - Business Data & Cyber Security (M)

Online - Online Teaching 5 - 2021

Business Data & Cyber Security will prepare future professionals for negotiating the constantly changing use of data and information in a business world that requires constant cybersecurity awareness and vigilance. Value and vulnerability of business data for decision making and problem solving are a core focus. Information and cyber security awareness and methods are embedded throughout. Graduates of this course will have the skills required to apply cyber secure practices to their use of business data; analyse and communicate business information needs.

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Course Details

Course Code	COMMGMT 7023OL
Course	Business Data & Cyber Security (M)
Coordinating Unit	Management
Term	Online Teaching 5
Level	Postgraduate Coursework
Location/s	Online
Units	3
Available for Study Abroad and Exchange	N
Incompatible	COMMGMT 2508
Assessment	Projects, reflective journal and exam

Course Staff

Course Coordinator: Dr Cate Jerram

Course Timetable

The full timetable of all activities for this course can be accessed from Course Planner.

Course Learning Outcomes

BDCS-OL Course Learning Outcomes

Code	Description	Mapped to PROGRAM LOs
CLO-1	Articulate the different roles of data, information, & knowledge in business & management.	PLO 1, PLO 3
CLO-2	Determine data and security needs to address specific business problems.	PLO 2
CLO-3	Identify and communicate appropriate quality sources and resources to address the determined needs.	PLO 2, PLO 4
CLO-4	Identify common cyber-attack vectors and the human factors that render them effective or ineffective.	PLO 1, PLO 2
CLO-5	Articulate the impacts of differing practices and legal and ethical issues around data, information and cyber security in personal, organisational, and international contexts.	PLO 3, PLO 4

Graduate Certificate in Cyber Security Program Learning Outcomes

Code	Description	Mapped GAs
PLO-1	Demonstrate knowledge and understanding of the technical practice of Cyber Security, and its application within industry contexts.	GA -1,GA- 4, GA-7
PLO-2	Apply the principles of Cyber Security within real-world contexts, in an area of specialisation.	GA- 1, GA-2, GA-3,GA- 4, GA-7
PLO-3	Demonstrate professional attitudes, standards and values.	GA -4,GA- 5,GA- 6,GA- 8
PLO-4	Use interpersonal skills to enable effective communication with a range of audiences.	GA- 3, GA-4, GA-5, GA-6,GA- 8

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

University Graduate Attribute	Course Learning Outcome(s)
Deep discipline knowledge informed and infused by cutting edge research, scaffolded throughout their program of studies acquired from personal interaction with research active educators, from year 1 accredited or validated against national or international standards (for relevant programs)	CLO-1, 2, 3, 4
Critical thinking and problem solving steeped in research methods and rigor based on empirical evidence and the scientific approach to knowledge development demonstrated through appropriate and relevant assessment	CLO-2, 3, 4
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	CLO-3, 4, 5
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	CLO-2, 3, 4, 5
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	CLO-3, 5
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	CLO-3, 5

Learning Resources

Required Resources

Module 1
There will be multiple occasions upon which you are directed to search for, access, assess, and use readings of your own choice. A core feature of this course is learning to find appropriate readings and use solid criteria to assess their quality, value, and relevance.
Module 1 has no pre-set readings.

Module 2
El-Atms, S & Barnes, R 2018, ‘GDPR—What it means for Australian Business’, blog post, August, 22 May.

Pienta, J, Bennet, T, Johnston, A 2020, ‘Protecting a whale in a sea of phish’, Journal of Information Technology, 3 June.

Module 3
Manisha Mathur. (2019). Where is the Security Blanket? Developing Social Media Marketing Capability as a Shield from Perceived Cybersecurity Risk, Journal of Promotion Management, 25:2, 200-224, DOI: 10.1080/10496491.2018.1443310

Oltramari, A., Henshel, D., & Cains, M. & Hoffman, B. (2015). Towards a Human Factors Ontology for Cyber Security. Proceedings of the Tenth Conference on Semantic Technology for Intelligence, Defense, and Security, Fairfax VA, USA, November 18-20, 2015.

Module 4

Berry C & Berry R 2018, ‘An initial assessment of small business risk management approaches for cyber security threats (Links to an external site.)’, International Journal of Business Continuity and Risk Management 8(1):1 DOI: 10.1504/IJBCRM.2018.10011667

Dynes S, Goetz E, Freeman M 2008, ‘Cyber Security: Are Economic Incentives Adequate?’, In: Goetz E, Shenoi S.(eds) Critical Infrastructure Protection. ICCIP 2007. IFIP International Federation for Information Processing, vol 253. Springer, Boston, MA.

Kritzinger, E & Von Solms, SH 2010, ‘Cyber security for home users: A new way of protection through awareness enforcement’, Computers & Security 29(8):840-847 November 2010

Tao H, Huiyan MZA, Raman MA, Wang G, Wang T, Ahmed MM, Li J 2019, ‘Economic perspective analysis of protecting big data security and privacy’, Future Generation Computer Systems. Volume 98, September 2019, 660-671

Module 5
Ferra, F 2020, ‘Challenges in assessing privacy impact: tales from the front lines’, IEEE security & Privacy, vol. 3, no. 2, p. e101. ISSN: 1540-7993 , 1558-4046; DOI: 10.1002/spy2.101

Lam, PTI & Ma, R 2019, ‘Potential pitfalls in the development of smart cities and mitigation measures: an exploratory study', Cities, vol. 91, August, Pages 146–156

Rowe, F 2020, ‘Contact tracing apps and value dilemmas: a privacy paradox in a neo-liberal world’, International Journal of Information Management, 30 June, pp. 102–178

Di Stephano, M, 2017, ‘Here’s what happened when a Liberal donor’s business got caught dumping people’s private information’, Buzz Feed News, 25 January

Optional readings
Agrawal, A, Gans, J & Goldfarb, A 2018, Prediction machines: the simple economics of artificial intelligence, Harvard Business Review Press, Boston, Massachusetts.

Barratt, T, Veen, A & Goods, C 2020, ‘Algorithms workers can’t see are increasingly pulling the management skills’, The Conversation, 24 August.

Module 6
Christiano, A & Neimand, A 2017, ‘Stop raising awareness already’, Stanford Social Innovation Review, Spring.

Ramirez, R & Choucri, N 2016, ‘Improving interdisciplinary communication with standardized cyber security terminology: a literature review’, IEEE Access, vol. 4, pp. 2216–2243. DOI 10.1109/ACCESS.2016.2544381

Wulgaert, T 2017, ‘6 reasons why awareness programs fail even when following best practices’, CSO Australia, 24 October.

Byers, J 2020, ‘Australian Police: XAMN helped solve armed robbery’, MSAB, 10 February.

Learning & Teaching Modes

This course is 100% online. Within the parameters of weekly requirements, course activity is conducted as self-paced learning.

Workload

No information currently available.

Learning Activities Summary

Module 1	Introduction Data in Business Data Evolution Data and Government Data Quality Data Risk & Value Team Collaboration
Module 2	Data & Ethical Issues Data and Privacy Data, Policy & Politics Legislation, Regulation & Standards Privacy, Bullying & Trolling
Module 3	Human Vulnerability & Social Engineering Technical Topics & Lay Speak Social Media & Human vulnerabiities Deep Dive into Cyber Resilience Strategic Perspectie Human Aspects of Cyber Security
Module 4	Types of Data Data, Strategy & Decision Making Data & Economics CyberOps - BASICS of Cyber Security for Business Small Business & Home Network Security
Module 5	Data, Artificial Intelligence & Machine Learning MetaData Smart Cities Secure Erasure & Disposal of Data
Module 6	Communicating Cyber Security Securing Stakeholder Compliance to Cyber Security Policy Policing & Data, Crime & Cybercrime

The University's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Assessment task 1: Reflective Journal
Due: Due end of each week, Sunday 11:59pm
Percentage of grade: 35%

Assessment task 2: Team Teaching
Due: End of Week 5, Sunday 11:59pm
Percentage of grade: 30%

Assessment task 3: Research Project
Due: End of Week 6, Sunday 11:59pm
Percentage of grade: 35%

Assessment Detail

Each assessment task will have an 'Assessment task discussion board' to post your questions about the assessment. Your tutor will host a Zoom session specifically addressing the assessment in the week preceding the assessment due date.
All assessments adhere to the University of Adelaide Assessment for Coursework Programs PolicyLinks to an external site..
When you submit an assessment via the online submission page, you declare that your submission is entirely your own work.

Assessment task 1: Reflective Journal

In this assessment you will be required to review your Lesson Notes and your thinking each week, reflect on what you have learned and
challenges you recognise regarding your knowledge, attitude and behaviour, then write up your reflections in your journal. Each week’s
journal entry should build upon and reference previous entries, including reflection on the progress and outcome of recorded challenges.

Due: Due end of each week, Sunday 11:59pm
Percentage of grade: 35%

Assessment task 2: Team Teaching

In this assessment you will be required to work in a team with 2–4 other students. You will select a topic from a list, create a lesson
plan consistent with the template provided, and then deliver an interactive class session on this topic. Each team member will complete and submit a confidential analysis of Individual Contribution to Team.

Due: End of Week 5, Sunday 11:59pm
Percentage of grade: 30%

Assessment task 3: Research Project

In this assessment you will be required to select a research topic from a provided list, submit a research proposal for approval and then
create a research report using your preferred presentation style, again selected from a list.

Due: End of Week 6, Sunday 11:59pm
Percentage of grade: 35%

Submission

No information currently available.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through Access Adelaide.

Student Feedback

The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

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Maintained by:	Course Outlines Administrator