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Unit Synopsis
Knowledge management is being reshaped by artificial intelligence, enterprise platforms, digital collaboration tools and data-informed decision-making. This unit examines how organisations identify, capture, structure, share, and govern knowledge in contemporary business environments. You will develop high-level capabilities in knowledge audits, knowledge mapping, knowledge asset identification, knowledge flow analysis and knowledge management practices. The unit examines how knowledge management supports business analysis, enterprise systems, organisational learning, decision-making quality and operational improvement. You will evaluate contemporary knowledge management systems and processes, including enterprise knowledge platforms, knowledge bases, collaboration tools and AI-supported knowledge practices. The unit also considers ethical, professional, privacy, security and accountability issues associated with organisational knowledge work. Through applied assessment tasks, you will analyse an organisational knowledge problem, evaluate suitable tools and techniques, and develop a knowledge management plan that supports organisational needs and responsible AI-enabled practice.
Details
| Level | Postgraduate |
|---|---|
| Unit Level | 9 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 2 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
Pre-Requisites: COIT20250 e-Business Systems and COIT20249 Professional Skills in ICT. Anti-Requisites: If you have completed COIT20238 or COIS20077, then you cannot take this unit. 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). |
| Class Timetable | View Unit Timetable |
| Residential School | No Residential School |
Unit Availabilities from Term 1 - 2027
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.
Assessment Tasks
To see assessment details from an earlier availability, please search via a previous term.
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%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web 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.
Source: Unit coordinator observation
There was limited integration of practical tools in the tutorials aligned with the weekly content.
Introduce relevant tools and practical tasks in weekly tutorials from the start of term, supported by resources that help students apply them independently and connect learning to real practice.
As part of the unit redevelopment, the unit will be renamed Knowledge Management in the Age of AI from T1 2027. The learning outcomes and content will be updated to reflect current developments in AI and knowledge management, with greater emphasis on practical, industry-relevant learning activities.
Source: Student Feedback
Students commented that the unit content should be updated each term.
Update unit content regularly to keep materials current, relevant, and aligned with emerging developments in the field.
In Progress
To see Learning Outcomes from an earlier availability, please search via a previous term.