Overview
ICT business and system analysts use many techniques to model and analyse business problems, such as data analytics, workflow modelling, dashboards and low code prototyping. In this unit, you will learn a selection of tools, as well as new and disruptive technologies, such as artificial intelligence, blockchain, Internet of Things and cloud services. You will gain practical, hands-on experience with data analysis and visualisation tools, such as the Microsoft Power platform, and cloud services for analysts, such as Azure or AWS. While evaluating the technical tradeoffs of technologies to deliver business value, you will also consider the ethical, legal and cyber security issues that arise when enterprises use those technologies.
Details
Pre-requisites or Co-requisites
Prerequisite: COIT20248 Information Systems Analysis and Design
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 2 - 2024
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
Recommended Student Time Commitment
Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Class Timetable
Assessment Overview
Assessment Grading
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of 'pass' in order to pass the unit. If any 'pass/fail' tasks are shown in the table above they must also be completed successfully ('pass' grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the 'assessment task' section (note that in some instances, the minimum mark for a task may be greater than 50%). Consult the University's Grades and Results Policy for more details of interim results and final grades.
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Student
Group assessments require individual accountability.
Student teams should be required to complete a “Team Charter” before commencing group assessment activities.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
- Critically analyse the ethical and professional issues that analysts encounter, especially regarding data privacy, cyber security and artificial intelligence.
The Australian Computer Society (ACS), the professional association for Australia's ICT sector, recognises the Skills Framework for the Information Age (SFIA). SFIA is adopted by organisations, governments, and individuals in many countries and provides a widely used and consistent definition of ICT skills. SFIA is increasingly being used when developing job descriptions and role profiles. ACS members can use the tool MySFIA to build a skills profile.
This unit contributes to the following workplace skills as defined by SFIA 8 (the SFIA code is included):
- Business Modelling (BSMO)
- Business Intelligence (BINT)
- Data Modelling and Design (DTAN)
- Data Visualisation (VISL)
- Emerging Technology Monitoring (EMRG)
- Requirements Definition and Management (REQM)
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Report - 30% | ||||
| 2 - Report - 50% | ||||
| 3 - Report - 20% | ||||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | |||
|---|---|---|---|---|
| 1 | 2 | 3 | 4 | |
| 1 - Knowledge | ||||
| 2 - Communication | ||||
| 3 - Cognitive, technical and creative skills | ||||
| 4 - Research | ||||
| 5 - Self-management | ||||
| 6 - Ethical and Professional Responsibility | ||||
| 7 - Leadership | ||||
| 8 - Aboriginal and Torres Strait Islander Cultures | ||||
Textbooks
There are no required textbooks.
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Zoom
- Microsoft Power BI
- Knime
- Microsoft Teams
All submissions for this unit must use the referencing style: Harvard (author-date)
For further information, see the Assessment Tasks.
m.saiedurrahaman@cqu.edu.au
Module/Topic
Introduction to Technologies in Information Systems Practice
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Supporting decision making
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
The role of Industry 4.0
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Designing solutions for end-users
Chapter
Supplementary materials
Events and Submissions/Topic
Assignment 1 (30% weighting) - report due by week 4, Friday, 11:45 pm
Assignment 1 Due: Week 4 Friday (2 Aug 2024) 11:45 pm AEST
Module/Topic
Introduction to AI for Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Review previous lectures
Chapter
Events and Submissions/Topic
Module/Topic
Applications of AI in Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Applications of Blockchain
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Natural Language Processing and Conversational Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Human factors in Information Systems
Chapter
Supplementary materials
Events and Submissions/Topic
Module/Topic
Ethical Information systems practices
Chapter
Supplementary materials
Events and Submissions/Topic
Assignment 2 - (50% weighting) - report, slides, recorded presentation and statement of contributions due by week 10, Friday, 11:45 pm
Note: face-to-face Q&A in week 11.
Assignment 2 Due: Week 10 Friday (20 Sept 2024) 11:45 pm AEST
Module/Topic
Overview of Security and privacy
Chapter
Supplementary materials
Events and Submissions/Topic
Assignment 2 - playback of recorded presentation and face-to-face Q&A, during week 11 tutorial session.
** attendance at the face-to-face Q&A session is mandatory to receive marks for the presentation component of Assignment 2.
Module/Topic
Technologies in Information Systems practice – Reviews and Reflections
Chapter
Supplementary materials
Events and Submissions/Topic
Assignment 3 - (20% weighting) - Report due by week 12, Friday, 11:45 pm
Assignment 3 Due: Week 12 Friday (4 Oct 2024) 11:45 pm AEST
Module/Topic
Chapter
Events and Submissions/Topic
Module/Topic
Chapter
Events and Submissions/Topic
Mohammad Saiedur Rahaman
Unit Coordinator
Melbourne - 6.13
Phone: (03) 9616 0656
Email: m.saiedurrahaman@cqu.edu.au
You are encouraged to use Moodle Q&A for any questions to benefit everyone. However, for specific inquiries requiring private discussion, please email me. I typically respond within 48 hours, excluding weekends and public holidays.
1 Report
This assessment relates to Learning Outcomes 1, 2 and 3. This is an individual assessment. You will identify the necessary tools and technology skills required for information systems practice. Furthermore, you will provide reasoning for their significance and relevance in executing tasks proficiently. You'll elaborate on strategies for managing data, perform thorough data analysis, articulate findings through visual representations, and develop and validate hypotheses. This assessment contributes to 30% of the total marks.
Week 4 Friday (2 Aug 2024) 11:45 pm AEST
Online via Moodle
Vacation Week Friday (16 Aug 2024)
Within two weeks of submission.
The assessment criteria are based on:
- Identification of tools and technology skills, and relevant data source.
- Analysis skills and technical literacy as demonstrated by the appropriate analysis techniques.
- Justify the selection of processes.
- Reporting including self-explanatory illustrations, references/citations.
The marking will be distributed as follows :
- Identification of tools and technology skills: 7 marks
- Identification and justification of relevant datasource: 7 marks
- Data analysis: 10 marks
- Well-written report: 6 marks
Total: 30 marks
See Moodle for detailed description of the assignment and marking rubric.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
2 Report
This assessment relates to Learning Outcomes 1, 2 and 3. This group assessment task has two parts: a report and a presentation. To accomplish the report, you are required to select one dataset from a given list. Then define a problem statement and demonstrate how did you solve this problem by leveraging data analytics machine learning algorithms. Additionally, you are required to submit a short recorded presentation along with the slide deck to communicate the solution of the addressed problem. Ensure that the presentation is easily comprehensible for a general audience. The recorded presentation will be played back during the week 11 tutorial, followed by a face-to-face Q&A session. This assessment contributes to 50% of the total marks.
Week 10 Friday (20 Sept 2024) 11:45 pm AEST
Online via Moodle
Feedback and marks for this assessment will be released on the grade certification date
The assessment criteria are based on:
- Identification of problem, application of design thinking process.
- Analysis skills and technical literacy as demonstrated by the selection of analytics and machine learning techniques.
- Justify the selection of processes.
- Reporting including self-explanatory illustrations, references/citations.
- A well-structured presentation for a general audience and performance in the Q&A session.
The marking will be distributed as follows :
- Report - 30 marks
- Presentation - 20 marks (Recorded presentation: 10 marks + Slides: 5 marks + Q&A: 5 marks)
Total: 50 marks
Important note: The presentation component of this assignment accounts for 20% of the total marks. Please note that the recorded presentation you submit by the due date will be played back during the Week 11 tutorial, followed by a mandatory Q&A session. If you cannot attend the Q&A session, you will not receive any marks for the presentation component of this assessment.
See Moodle for detailed description of the assignment and marking rubric.
- Apply data analysis tools to identify and explore insights into business problems
- Use business and system analysis tools to model and prototype requirements, processes and designs
- Justify the selection of current and emerging technologies to solve business problems
3 Report
This assessment relates to Learning Outcomes 3 and 4. This is an individual assessment. This assessment task requires you to prepare and submit a report. You will identify the human factors and ethical considerations linked to the solution your group proposed in Assessment 2. Additionally, you must suggest resolutions to these identified human factors and ethical issues, supported by appropriate justification. This assessment contributes to 20% of the total marks.
Week 12 Friday (4 Oct 2024) 11:45 pm AEST
All files must be submitted via the Moodle unit website by the due date.
Feedback and marks for this assessment will be released on the grade certification date
The assessment criteria are based on:
- Identification of human and ethical factors of information systems.
- Justify the selection of processes.
- Reporting including references/citations.
The marking will be distributed as follows :
Human and ethical factors Identification with justification: 8 marks
Solution to identified human and ethical factors with justification: 8 marks
A well-written report: 4 marks
Total: 20 marks
See Moodle for detailed description of the assignment and marking rubric.
- Justify the selection of current and emerging technologies to solve business problems
- Critically analyse the ethical and professional issues that analysts encounter, especially regarding data privacy, cyber security and artificial intelligence.
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.
What can you do to act with integrity?
