COIT20250 Assessment 3: Individual Case Study Due Date: Week 12 Friday 11:45 PM AEST Weighting: 40% Assessment Task: This is an individual assessment. Each of you will analyse a given case study...

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COIT20250



Assessment 3: Individual Case Study






Due Date:
Week 12 Friday 11:45 PM AEST






Weighting:
40%






Assessment Task:






This is an
individual
assessment.

Each of you will analyse a given case study and identify the issues arising from the case study. Based on the issues found in the case study, you will identify
three
e-business use cases
(for example,
Predictive Maintenance). You will then choose as many emerging technologies as appropriate to address those use cases. You can choose any emerging technologies that fit the use cases, even the ones not covered in the lectures.



You will write a report illustrating how the chosen emerging technologies would fit into and address the requirements of the identified e-business use cases.



In the main body of the report, you will include the following topics.


1.
A background study of the chosen emerging technologies


o You need to describe how the chosen emerging technologies evolved, their underlying designs, working principles, functions, and capabilities.


2.
A brief description of the future potentials of the chosen emerging technologies


o You need to discuss the future applications of the chosen emerging technologies in e-business in general.


3.
An illustration of how the chosen emerging technologies would fit into the identified e-business use cases


o You need to illustrate what issues of the identified use cases would be resolved by the chosen emerging technologies.


4.
Details of how the chosen emerging technologies would address the requirements of the identified use cases


o You need to elaborate how the chosen emerging technologies would interoperate to fulfill the requirements of the identified use cases.




Please note: Discussions for topics 1-2 should be generic, while discussions for topics 3-4 must be in the context of the Assessment 3 Case Study. The
Introduction
section of the report should clearly state the
identified e-business use cases
and the
emerging technologies chosen to address those use cases.




The length of the report should be
3000 words. Your report must have a
Cover Page
(Unit Id, Assessment number/name, Student names, Student Ids,Campus, and Tutor name) and a
Table of Contents
(this should be MS word generated). A standard report structure, including an executive summary, must be adhered to. You are required to review more than
10 articles
(including at least 4 academic references) relevant to the chosen use cases and emerging technologies.




Bottom of Form



Caution:
ALL assessment submissions will be checked for similarity by Turnitin. If are found to be involved in plagiarism, contract cheating or any other kind of academic misconduct, you may face penalties from zero marks for the assignment to fail grade in the unit, or even exclusion from the university. Please make yourself familiar with the University’s
Student Academic Integrity Policy and Procedure
which is available in the policy portal
https://www.cqu.edu.au/policy.





Assessment Submission:


Each of you must upload the written report to Moodle as a Microsoft Word file by the above due date. It is the responsibility of the students to submit the
correct final versions
of their assessment items.

Assessment Criteria:


You will be assessed based on your ability to demonstrate understanding of the emerging digital technologies, critically evaluate their future impacts, and use those technologies to solve current and forthcoming e-business problems.




The marking criteria for this assessment are as follows.



Executive summary
- 3 marks



Table of contents
- 2 marks



Introduction
- 3 marks



Background information about the chosen emerging technologies
- 6 marks



Future potentials and applications of the

chosen emerging technologies

- 6 marks



How the chosen emerging technologies would fit into the identified use cases
- 4 marks



How the chosen emerging technologies would address the requirements of the identified use cases
- 10 marks



Conclusion
- 3 marks



References
- 3 marks



The marking rubric for this assessment is given in the following page.


































































































































































Criteria




Quality







High Distinction (85-100%)




Distinction



(75-84%)




Credit



(65 -74%)




Pass



(50-64%)




Fail



(





Executive summary






2.55–3



2.25–2.52



1.95–2.22



1.5–1.92





Covered background information and all findings clearly.



Covered background information and most findings clearly.



Covered background information most findings without clarity.



Covered background information and some findings clearly.



Missed most findings and not clear.





Table of contents



1.7–2



1.5–1.68



1.3–1.48



1–1.28





Used decimal notation. Included all headings and page numbers. Used ToC auto-generation.



One feature missing.



Two features missing.



Three or more features missing.



ToC is missing.





Introduction



2.55–3



2.25–2.52



1.95–2.22



1.5–1.92





Set the scene for the report and described the purpose very clearly.



Set the scene for the report and described the purpose clearly.



Covered most parts with clarity.



Covered some parts with clarity.



Most parts are missing and not clear.





Background information about the chosen emerging technologies






5.1–6



4.5–5.04



3.9–4.44



3–3.84





Covered all parts with detailed explanations.



Covered all parts with detailed explanations. But there is some room for improvement.



Covered most parts with detailed explanations.



Covered some parts with detailed explanations.



Failed to cover most parts and not clear.





Future potentials of the chosen emerging technologies






5.1–6



4.5–5.04



3.9-4.44



3-3.84





Covered all major applications with very clear explanations.



Covered all major applications with clear explanations. But there is some room for improvement.



Covered most of the major applications with clear explanations.



Covered some major applications with clear explanations.



Failed to cover most of the major applications and not clear.





How the chosen emerging technologies would fit into the identified use cases



3.4–4



3–3.36



2.6 – 2.96



2–2.56





Provided very good justifications for all chosen technologies with clarity.



Provided good justifications for most of the chosen technologies with clarity.



Provided justifications for most of the chosen technologies with clarity.



Provided justifications for some of the chosen technologies with clarity.



Failed to provide justifications for most of the chosen technologies and no clarity.





How the chosen emerging technologies would address the requirements of the identified use cases



8.5–10



7.5–8.4



6.5–7.4



5–6.4





Provided convincing explanations for all chosen technologies.



Provided convincing explanations for most of the chosen technologies.



Provided explanations for most of the chosen technologies but some of them are not convincing.



Provided convincing explanations for some of the chosen technologies.



Failed to provide explanations for most of the chosen technologies and not convincing.





Conclusion






2.55–3



2.25–2.52



1.95–2.22



1.5–1.92





Stated the summary of the report and concluding remarks with clarity



Stated the summary of the report and concluding remarks, but there is some room for improvement.



Stated the summary of the report and concluding remarks but did not include enough details.



Stated the summary of the report without clarity and concluding remarks are missing.



Both summary of the report and concluding remarks are missing.





References



2.55–3



2.25–2.52



1.95–2.22



1.5–1.92





All references are listed and cited according to Harvard referencing style. More than 10 very good references were used with at least four very good quality academic resources.



All references are listed and cited according to Harvard referencing style. More than 10 references were used with at least four good quality academic resources.



More than 10 references were used with at least four academic resources. There are minor referencing errors.



Not all references are listed or cited but there are no referencing errors.



No reference list or citation or too many referencing errors. Less than four academic resources are used.



Answered Same DaySep 30, 2021COIT20250Central Queensland University

Answer To: COIT20250 Assessment 3: Individual Case Study Due Date: Week 12 Friday 11:45 PM AEST Weighting:...

Neha answered on Oct 07 2021
144 Votes
Executive summary 
In this report we will discuss about the South Western Sydney local health district which is one of the local health districts in Sydney out of 8 health Department. They had a common vision to provide better healthier communities with the help of leading care to deliver healthcare and improve the health of the whole community who are living in their district. The South Western Sydney local health district are taking care of all the public hospitals and the healthcare facilities which are located in the South Western Sydney ranging from boral to Bankstown. In this report we will further discuss about different technologies which can be used
in the different use cases of the case study to help them for developing new hey facilities. We will discuss about the background of each technology and how they can help the use cases in detail.
Contents
Executive summary    1
Introduction    2
Background information    3
Deep learning    3
Edge Computing    4
Blockchain    5
Future potentials and applications    5
Deep learning    5
Edge Computing    6
Blockchain    7
Usage of emerging technologies    7
Predictive Maintenance    7
Demand Forecasting    8
Inventory management    9
Addressing requirements    9
Deep learning for Inventory management    9
Blockchain for demand forecasting    10
Edge Computing for predictive maintenance    11
Conclusion    11
References    12
Introduction 
In this report we will discuss about the South Western Sydney local health district which is one of the local health districts in Sydney out of 8 health Department. They had a common vision to provide better healthier communities with the help of leading care to deliver healthcare and improve the health of the whole community who are living in their district. The South Western Sydney local health district are taking care of all the public hospitals and the healthcare facilities which are located in the South Western Sydney ranging from boral to Bankstown. They cover around 7 areas of the local government starting from Bankstown to Wingecarribee which has the population of around 966,450 people. The whole district managers the 14 community of the health centres and 6 hospitals who are known for providing early intervention, prevention and treatment on the basis of community, rehabilitation services and palliative care. This center is one of the largest employers in the Hall South Western Sydney which has nearly 16,000 staff members and it includes nurses, doctors, health related workers and midwives. The whole district has an annual budget of around 1.8 billion dollar which is generally helpful for facilitating a wide range of services across the community health centres, integrated health herbs and hospitals. The main service of the whole district is to provide primary and community health services, nursing and midwifery, population health, oral health, drug health services, aboriginal health services, mental health services and allied health services. The local health has a vision to provide more responsive and innovative care with the investment of new facilities, emerging technologies and services. They have found out 6 strategic directions which can help them to develop new facility for the organizations and the services and for supporting the district to achieve their vision of healthcare communities and leading care. In this report we will study about different emerging technologies which can help the organization and we will find out the 3 use cases in which we can use these technologies.
Background information
Deep learning
The deep learning is the first emerging technology which can be used by the district Health Center and it can be defined as an artificial intelligence function which work similar to the working of human brain to process the data and create patterns which can be used for decision making. The deep learning behaves as the subset of machine learning in artificial intelligence which has capability of networks and can learn unsupervised information from the data which is either unlabelled or unstructured. It is also known as deep neural learning or deep neural network (Deng, L. and Yu, D).
Edge Computing
The edge computing can be defined as a part of the distributed computing topology in which we can process the information which is present nearby off the edge and it helps the things and people to either consume or produce the information. In the basic level of edge computing it helps to include the computation and data storage near to the devices in which it is collected instead of relying on any central location which can be away from the location. This technique is done on the data specially the real time data off the system and it does not suffer from any latency issues which can degrade the performance of an application. Along with these features the edge computing also allows the organizations to save money as the processing is done locally and it reduces the amount of data which is required for the process function in the cloud based location or centralised location.
The reason behind the development of this technique was exponential growth of the Internet of things devices in which it can connect with the Internet to either receive the information from the cloud or deliver it back to the cloud . Most of the devices generate huge amount of data during the receiving and delivery operations. the edge computing services, and hardware can be very useful to solve this problem as we will have able to access our local source to process and storage for many of the systems. Edge gateways capable of processing the data with the help of edge device and then its end only the relevant data back to the cloud which reduces the overall need of bandwidth. It can also send data back to the edge device if there is any need of real time application.
These devices can be different things like the sensor of IoT, notebook computer of the employee, security camera, Internet connected microwave oven or the latest smartphone. The edge gateway is also considered as the edge devices which are present in the edge computing infrastructure. The biggest advantage of using the edge computing is that it has cap ability for processing and storing the data as fast speed and it also enables the users to have more efficient real time applications which are very critical for the companies.
When the people were using smartphone scanning who's can the face of person for facial recognition it had to run the algorithm for facial recognition with the help of cloud based service was consuming a lot of time for the processing. The edge computing model was very helpful as we can run the algorithm open the local...
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