COMMGMT 7023 - Business Data & Cyber Security (M)

North Terrace Campus - Semester 2 - 2020

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 7023
Course	Business Data & Cyber Security (M)
Coordinating Unit	Adelaide Business School
Term	Semester 2
Level	Postgraduate Coursework
Location/s	North Terrace Campus
Units	3
Contact	Up to 3 hours per week
Available for Study Abroad and Exchange	Y
Incompatible	COMMGMT 2508
Assessment	Projects, reflective journal and exam

Course Staff

Course Coordinator: Dr Cate Jerram

Dr Cate Jerram
10.34 Nexus 10
cate.jerram@adelaide.edu.au
#8313 4757

Course Timetable

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

Course Learning Outcomes

On successful completion of this course students will be able to:

Articulate the different roles of data, information, & knowledge in business & management.
Determine data and security needs to address specific business problems, and identify and communicate appropriate quality sources and resources.
Identify common cyber-attack vectors, the human factors that render them effective or ineffective, and the measures required to address them.
Articulate the business impacts of differing practices and legal and ethical issues around data, information and cyber security in international contexts, and recommend critical measures for businesses engaged in international business.

Course Mission Statement

By the end of this course, students will have an understanding of, and have developed, strong personal and business cyber-hygiene practices, and be able to communicate them.

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)	1, 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	2 - 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	1, 2, 4
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	1 - 4
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	1 - 4
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	2 - 4

Learning Resources

Required Resources

Students will be researching and resourcing core materials.

Recommended Resources

Will be found in the Reading Room on MyUni.

Online Learning

This course is very much a research-based course, so there will be considerable online activity both in class and out. When possible, sessions will be recorded. HOWEVER - if guest speakers request not to be recorded, their sessions will not be available online. As much of the content is acquired through team research, presentation, discussion, and sharing - for the most part online recorded sessions will not be very satisfactory replacements for live attendance.

Learning & Teaching Modes

BDCS (M) will be taught in time blocks that will (usually) be comprised of 2 separate components each week of interactive lecture/workshop, and tutorial/computer lab.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

The University expects full-time students (i.e. those taking 12 units per semester) to devote a total of 48 hours per week to their studies.

This means that students are expected to commit approximately 12 hours per week to this course (including class time and the research, collaboration, online, & study time outside of your regular classes).
Students are required to attend all class sessions.
Students are required to complete class preparation (posted in MyUni) before the start of class.
A considerable proportion of this course will be in team-mode. It is recognised that outside commitments can mean that team-work is challenging in terms of compatible scheduling, but much of the teamwork can be managed online, so full participation in out-of-class teamwork is expected.

Learning Activities Summary

Session	Topics	Learning Activities
Class 1	Data in Business Data Evolution	Workshop research and problem-solving activities class discussion and debate.
Class 2	Provenance & Transparency Data & Ethical Issues Data and Government Data and Business	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 3	Data & Privacy Data Ownership & Sharing Data Open Data	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 4	Data, Technology & Platforms Data Analysis & Analytics Big Data Data, AI and ML	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 5	Data for Decision-Making: Operations Data for Decision-Making: Management	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 6	Data for Decision-Making: Strategy & Policy Data Strategy & Structure Data for Decision-Making: Future	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 7	Committing to Data Value Data at Risk Human Aspects of Data at Risk (HACS)	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 8	Common Cyber Security Attack Vectors Common Cyber Security Defences	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 9	The KAB of HACS	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 10	Social Engineering & Human Vulnerability to SE Attacks 1	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 11	Social Engineering & Human Vulnerability to SE Attacks 2 Securing Employee Compliance to Cyber Security Policy	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Class 12	Communicating Internally: - Data Value & Needs - Cyber Security Needs Communicating Externally: - Data Value & Needs - Cyber Security Needs	Guest speaker Workshop research and problem-solving activities class discussion and debate.
Swotvac		Journal
tba/exams		Exam

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	Coll/Indiv	Weighting	Word Count/Time	Due	Learning Outcomes
Jigsaw Projects (oral & written)	Team	20	n/a	To be negotiated	CLO 1 - 4
Major Project	Individual	25	n/a	To be negotiated	CLO 1 - 4
Reflective Journal	Individual	25	Staged (100-300 words per weekly entry) & Final	Weekly & 2 pm on Monday of week 13	CLO 1 - 4
Exam	Individual	30	2 hours	Exams week	CLO 1 - 4

Assessment Detail

Jigsaw Projects (oral & written) 20% in-class activities

Teams will research their nominated & selected topics and present them in both written and oral form as well as uploading them to the class share-site.
Teams will negotiate their topic delivery date.
Teams will participate as appreciative-critical audience for other teams’ research presentations.
Class will participate in refining the rubric and the weighting of the criteria.

Major Project 25%

Individuals will select/negotiate a data and/or security problem to research.
They will present their results in a written report.
Each class member will negotiate their project topic.
Class will negotiate their draft and delivery due dates.
Class will participate in refining the rubric and the weighting of the criteria.

Reflective Journal 25%
Weekly entries of 100-300 words each. Final due: 2 pm on Monday of week 13

Commencing in week one, each individual will maintain a reflective journal analysing, synthesising, and critiquing their learning, and reflecting on application to other courses and future employment.
Journals must be brought to class and available for teacher feedback every week.
Students will have the opportunity for formal feedback on their journal during the first month of semester.
The final, completed journal will be submitted on the Monday after the last week of semester.
Class will participate in refining the rubric and the weighting of the criteria.

Exam 30%

A two-hour exam will be scheduled during Exam week. The exam will include questions that require analysis of the learning from the Major Project and synthesis of core course material including all jigsaw projects.

Submission

Written assessments will be submitted through Turnitin on MyUni.
The final exam will be scheduled and organised by the Exams Office and follow normal examination procedures.

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 .

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鈥檚 disciplinary procedures.

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

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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