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COMMGMT 2508 - Business Data & Cyber Security

North Terrace Campus - Semester 1 - 2019

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.

  • General Course Information
    Course Details
    Course Code COMMGMT 2508
    Course Business Data & Cyber Security
    Coordinating Unit Adelaide Business School
    Term Semester 1
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 3 hours per week
    Available for Study Abroad and Exchange Y
    Incompatible COMMGMT 7023
    Assessment Projects and reflective journal
    Course Staff

    Course Coordinator: Dr Cate Jerram

    Dr Cate Jerram
    10.43 Nexus 10
    # 34757
    cate.jerram@adelaide.edu.au
    Course Timetable

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

  • Learning Outcomes
    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 and the human factors that render them effective or ineffective.
    • Articulate the impacts of differing practices and legal and ethical issues around data, information and cyber security in personal, organisational, and international contexts.

    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
    2 - 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 Activities
    Learning & Teaching Modes
    BDCS will be taught in 3-hour blocks that will (usually) be comprised of 2 separate components each week of: interactive lecture/research/workshop (often featuring guest speakers), and tutorial/computer lab. There is a significant level of peer and team interactivity and some gamification.
    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 10 - 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, as live guest speakers may not always agree to be recorded for online lectures.
     Students are required to complete any class preparation (posted in MyUni) before the start of class.
     Some 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
    Please note: CONFIRMED guest speakers are listed in MyUni. All guest speakers have been contacted, and some dates and topics are still being negotiated. Guest speakers may potentially be changed, or change dates or topics, at need.

    Week

    Seminar Topic

     

    Learning Activities

     

    Week 1

    Data in Business

     Data Evolution

    Course overview & Introductions.

    Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 2

    Provenance & Transparency

     Data & Ethical Issues

     Data and Government

     Data and Business

     

    Guest speaker.

     Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 3

     Data & Privacy

     Data Ownership & Sharing Data

     Open Data

    Guest speaker.

     Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 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.

     

    Week 5

    Data for Decision-Making: Operations

     Data for Decision-Making: Management

    Guest speaker.

    Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 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.

     

    Week 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.

     

    Week 8

    Common Cyber Security Attack Vectors

     Common Cyber Security Defences

    Guest speaker.

     Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 9

    The KAB of HACS

    Guest speaker.

     Workshop, research and problem-solving activities, class discussion and debate.

     

    Week 10

    Social Engineering & Human Vulnerability to SE Attacks 1

    Guest speaker.

     Workshop, research and problem-solving activities, class discussion and debate.

    Week 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.

     

    Week 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.

     

    Week 13

    Journal submission

     

     

     

    Specific Course Requirements
    Most guest speakers will commence speaking 5 minutes after start of class session. PLEASE don't be late, but if you know in advance that you MIGHT be late (for a good reason), please contact the course coordinator in advance.

    If you wish to leave your mobile phone or device on (and not on Flight Mode, Do Not Disturb, or Silent) please notify the course coordinator BEFORE class commences, with a reason (eg: sick child) for doing so.
    Small Group Discovery Experience
    Significant teamwork is included in this course (as an essential ingredient in future workplace cybersecurity practices), but this is not officially a SGDE course.
  • Assessment

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

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

    Assessment Summary

    ASSESSMENT TASK

    COLLABORATIVE / INDIVIDUAL

    WEIGHTING

    WORD COUNT / TIME

    DUE DATE

    LEARNING OUTCOME

    Team Teaching Research Project

    (oral & written)

    Team

    30

    n/a

    To be negotiated

    CLO 1 - 4

    Major Project

    Individual

    35

    n/a

    To be negotiated

    CLO 1 - 4

    Reflective Journal

    Individual

    35

    Staged (100-300 words per weekly entry)

    & Final

    Weekly

      

    2 pm on Monday of week 13

    CLO 1 - 4

     

    Assessment Related Requirements
    NOTE: Some elements of the assessments are negotiated – students will collaborate and negotiate with the teaching team regarding certain topics, choice of software, week of presentation, etc. Assessment criteria are fixed (as will be rubrics once negotiated) but some specified assessment details will be negotiable.
    Assessment Detail

    Full details and rubrics are posted in MyUni.

    NOTE: Some elements of the assessments are negotiated – students will collaborate and negotiate with the teaching team regarding certain topics, choice of software, week of presentation, etc. Assessment criteria are fixed (as will be rubrics once negotiated) but some specified assessment details will be negotiable.

    ASSESSMENT TASK

    COLLABORATIVE / INDIVIDUAL

    WEIGHTING

    WORD COUNT / TIME

    DUE DATE

    LEARNING OUTCOME

    Team Teaching Research Project

    (oral & written)

    Team

    30

    n/a

    To be negotiated

    CLO 1 - 5

    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

    Individual

    35

    n/a

    To be negotiated

    CLO 1 - 6

    Individuals will select 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 participate in refining the rubric and the weighting of the criteria.

     

    Reflective Journal

    Individual

    35

    Staged (100-300 words per weekly entry)

    & Final

    Weekly

    &

    Final: 2 pm on Monday of week 13

    CLO 1 - 6

    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, and before HECS census date. 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.

     

    Submission
    Assessments will be submitted through Turnitin on MyUni.
    Weekly installments of Reflection Journals will also be brought (printed out on paper) to class. 
    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
  • 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 ³ÉÈË´óƬ is committed to regular reviews of the courses and programs it offers to students. The ³ÉÈË´óƬ therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.