| Effective Term: | 2025/02 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Real Time Analytics |
| Unit ID: | ITECH7407 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ITECH5402) |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 029999 |
| Other Change: | |
| Brief description of the Unit |
This unit builds upon previous units to cover the principles, methodologies, applications and management of real time big data sets, including related data analytical methods, as used in enterprise environments. You will engage in researching a business case, applying predictive and real time analytics to big data sets to achieve meaningful insights into data in rapidly changing environments. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: No |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | | | | | Intermediate | | | | | | | | Advanced | | | | |  | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Examine the principles, methodologies and applications of real time systems in diverse domains. |
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| K2. | Identify and explain the architectural components of real time systems. |
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| K3. | Communicate the key drivers for big data in terms of efficiency, productivity, revenue and profitability to global organisations. |
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| K4. | Distinguish and describe types of big data, and analyse its differences from other types of data. |
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| K5. | Investigate and critique various technologies used to support real time systems, big data analytics including mobile specific data. |
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| Skills: |
| S1. | Integrate data warehouse and business intelligence techniques when using big data. |
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| S2. | Create flexible analytical models based on real time data, and use connectivity interfaces and tools for reporting purposes. |
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| S3. | Use real time performance analysis techniques to monitor data, and identify shifts or events occurring in data, as a basis for organisational decision making. |
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| Application of knowledge and skills: |
| A1. | Assess real-time big data systems for security, compliance, auditing, and protection. |
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| A2. | Evaluate and implement problem solving and decision making strategies to communicate solutions to organisational problems with key stakeholders, based on analysis of big data, in real time settings. |
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| Unit Content: |
Real time systems and technologies.
Big data basics.
Industry examples of big data.
Big data technologies.
Information management.
Business analytics.
Real time analytics.
Security, compliance, auditing and protection of big data.
New trends in the area of real time analytics. |
| Graduate Attributes: |
| Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FEDTASKS (Transferable Attributes Skills and Knowledge) provide a targeted focus on five key transferable Attributes, Skills, and Knowledge that are be embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and Co-operative Learning opportunities. One or more FEDTASK, transferable Attributes, Skills or Knowledge must be evident in the specified learning outcomes and assessment for each FedUni Unit, and all must be directly assessed in each Course.
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| FED TASK and descriptor | Development and acquisition of FEDTASKS in the Unit | | Level | FEDTASK 1
Interpersonal | Students at this level will demonstrate an advanced ability in a range of contexts to effectively communicate, interact and work with others both individually and in groups. Students will be required to display high level skills in-person and/or online in: • Using and demonstrating a high level of verbal and non-verbal communication • Demonstrating a mastery of listening for meaning and influencing via active listening • Demonstrating and showing empathy for others • High order skills in negotiating and conflict resolution skills\\ • Demonstrating mastery of working respectfully in cross-cultural and diverse teams. | 3 - N/A | FEDTASK 2
Leadership | Students at this level will demonstrate a mastery in professional skills and behaviours in leading others. • Creating and sustaining a collegial environment • Demonstrating a high level of self -awareness and the ability to self-reflect and justify decisions • Inspiring and initiating opportunities to lead others • Making informed professional decisions • Demonstrating initiative in new professional situations. | 3 - N/A | FEDTASK 3
Critical Thinking and Creativity | Students at this level will demonstrate high level skills in working in complexity and ambiguity using the imagination to create new ideas. Students will be required to display skills in: • Reflecting critically to generate and consider complex ideas and concepts at an abstract level • Analysing complex and abstract ideas, concepts and information • Communicate alternative perspectives to justify complex ideas • Demonstrate a mastery of challenging conventional thinking to clarify complex concepts • Forming creative solutions in problem solving to new situations for further learning. | 1 - Yes | FEDTASK 4
Digital Literacy | Students at this level will demonstrate the ability to work competently across a wide range of tools, platforms and applications to achieve a range of tasks. Students will be required to display skills in: • Mastering, exploring, evaluating, managing, curating, organising and sharing digital information professionally • Collating, managing complex data, accessing and using digital data securely • Receiving and responding professionally to messages in a range of professional digital media • Contributing competently and professionally to digital teams and working groups • Participating at a high level in digital learning opportunities. | 3 - N/A | FEDTASK 5
sustainable and Ethical Mindset | Students at this level will demonstrate a mastery of considering and assessing the consequences and impact of ideas and actions in enacting professional ethical and sustainable decisions. Students will be required to display skills in: • Demonstrate informed judgment making that considers the impact of devising complex solutions in ambiguous global economic environmental and societal contexts • Professionally committing to the promulgation of social responsibility • Demonstrate the ability to evaluate ethical, socially responsible and/or sustainable challenges and generating and articulating responses • Communicating lifelong, life-wide and life-deep learning to be open to the diverse professional others • Generating, leading and implementing required actions to foster sustainability in their professional and personal life | 3 - N/A |
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| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | K1, K2, K3, K4, K5, S1, S2, S3, A1, A2 | As part of a team, apply advanced data analysis techniques to a real-world business case and associated complex dataset using a software tool. Review, select, and apply effective analysis techniques using designated software. Justify selections, with reference to the given business problem. Design a dashboard for key findings, and formulate meaningful and logical CEO recommendations. Align recommendations with operational and strategic objectives, justifying impacts on business processes and strategic positioning. | Assignment(s) | 50% - 70 % | | 2. | A1, A2 | Following the case study analysis, present research findings to stakeholders in a simulated workplace context. Justify each recommendation comprehensively, demonstrating depth of understanding of how the proposed actions may positively impact business processes. Engage in self-reflection, documenting your learning journey, achievements, lessons learned, and other relevant aspects. | Presentation and self reflection | 20% - 30% | | 3. | K1, K2, K3, K4, S1, S2 | Review and practice of skills and knowledge. | Quiz and test | 10% - 20% |
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