Recent Question/Assignment

Subject Code and Title MIS602 Data Modelling & Database Design
Assessment Reflective Research Report
Individual/Group Individual
Length Three Thousand Word Limit
Learning Outcomes a, b, c, d
Submission Friday 11:59 PM AEST/AEDT of Module 6.1 (week 11)
Weighting 40%
Total Marks 40 Marks
The MIS602 Data Modelling & Database Design subject is designed for you to progressively add to your understanding of data and database management and its relevance with in business context. It also introduces you to some of the key features of database management system and designing database systems that will feature in later modules of this topic. In order for you to do well in this subject, it is imperative that you undertake all of the learning activities in the modules. The learning activities are presented as a way of scaffolding your learning so that you can attempt the building blocks of the assessments and be in a safe environment to fail and to learn from them. Therefore, doing your learning activities and seeking feedback from them from peers and from the learning facilitator is the single best way of preparing for doing well in this assessment.
The scenario for this assessment is a hypothetical future system that helps governments to manage traffic flow in municipal localities. You should imagine that the local Road Traffic Authority has put out a Request for Proposals (RFP) for appropriately qualified consultants to undertake a body of work that would help to scope the data requirements for such a system. With your success in your Torrens University Australia degree so far, and other similar projects that have garnered you some sustained success in the eyes of the profession and community, you have been shortlisted among no less than 10 other consultancies. There are expectations from them, then, as to the standard of report you will produce.
While there has been a tremendous amount of attention given in the media and in scientific circles to the progression and uptake of autonomous vehicles, their widespread adoption has not yet proliferated: there are reasons for this that you will need to take into account in your deliverable. The local Road Traffic Authority is, with several other bodies, lobbying the government on what it can manage in the emergent world of technological change and the capability of artificial intelligence. An alternative model has been proposed that the Road Traffic Authority believes to be preferable to autonomous vehicles and it involves a system that would control all non-autonomous, driverless vehicles through a traffic management and routing system.
For such a system to work, it is necessary that there be no autonomous vehicles on the road, and AIenabled as well as human drivers would be included in such a ban. With the remaining nonautonomous, driverless vehicles the only ones left on the road, the system would then be allowed to control the flow and routing of each and every vehicle by manipulating its speed, direction and ultimate route to the passengers’ intended destination. The system would control all traffic lights, lane changing, slowing and acceleration of the vehicles.
The benefits of such a traffic management system are thought to be enormous as the hope is that the most effective routes can be calculated and that the most efficient traffic flow between those destinations is streamlined, congestion minimised and safety on the roads improved. But the system is ambitious and requires a lot of forethought and design elements fed into it before it could be seriously considered by the government of the day. The Road Traffic Authority seeks consultation on what the data requirements of such a hypothetical system might be.
There are two objectives of this assessment: for the purposes of the client, the local Road Traffic Authority, you are to produce a design brief; and, for the purposes of the assessment you are to produce a reflection. So, this written submission should expertly mix a consultative style—that is, providing a solution to the problem as outlined by the client—with a deep reflection on what you have learned in the subject and the potential for such a futuristic system. You will need to use your judgement on this; it is likely to take several drafts to get right. The deliverable for this assessment is plainly:
You are tasked to create a consultative report that addresses the data requirements of a Driverless, Non-autonomous Traffic Management System as well as commenting on the feasibility of such a solution, given what you learned in the subject. Following instructions will assist you in completion of the task.
Some hints for you to heed while you develop and write your assessment:
• Consider what is meant by ‘autonomous’ and then explore the benefits and challenges that autonomous vehicles may present in a future in which they are widely adopted
• The Road Traffic Authority has not provided any assumptions and you should list these if your proposal and reflection are to be considered cogent
• Consider that there are presently several roads in operation that contain more than one traffic lane and while generally there are rules for how they are to be used, not all human drivers adhere to them—what are the consequences?
• Consider what would happen when a driverless (non-autonomous) vehicle needed refuelling
• Consider the security requirements in the context of what could go wrong in operating such a system
Based on your learning from the course modules and previous assignments, you are expected to come up with data requirements and a logical design of the system and a brief commentary on the design.
Submission Instructions:
This consultative research and reflective report will be in a format that you choose and there are no prescriptions for what to include or what not to include. You will need to research consultant-grade reports (look for consulting reports form the Big Four firms as a guide and use them as the basis for their content, articulation presentation standard).
You should include logical data requirements in a design summary that includes appropriate entityrelationship diagrams replete with connectivity and cardinality considerations. You should list any and all assumptions used in your report as well as any limitations that the reader should consider as they read your report.
You should treat the prescribed word limit as something you cannot breach as there is no plus-orminus 10 per cent ascribed in this assessment. The reality of consultant-grade reports is that any that breach the requirements are rejected and no reasoning is provided to the consultant. As you are preparing for your professional life, treat this requirement as the same in this subject and that any report that breaches the word limit will not be marked.
Requests for extensions must be compliant with the university policy and must be applied for before the due date. Include in your application a full draft of your assessment as this draft may be what is assessed if the extension request is denied.
Submit your report to the submission point in Blackboard prior to the due date. In accordance with university policy, late assessments will attract a 10% of available grade penalty for every day late, up to a maximum of 5 days, after which the assessment will not be marked.
Please note that requests for resubmissions of this assessment will not be considered.
Learning Rubric: Assessment Three
Assessment Attributes Fail (Unacceptable) 0-49% Pass
50-64% Credit
(Proficient) 65-74% Distinction
75 -84% High Distinction
Understanding of the
Data requirements
30% Demonstrates limited understanding of the data requirements
Fair understanding of the data requirements. May neglect to provide resources or that these are cursorily provided without reference to specific areas in the source.
Good understanding of the data requirements demonstrated. May provide a limited number of sources the peer can use to develop their technique from.
Very good understanding of the data requirements demonstrated. Makes recommendations to other external sources the peer can access to develop their understanding.
Outstanding understanding of the data requirements demonstrated through recommendation of other sources with specific references to components of it that the peer will benefit from.
Capture of key entities and their relationships 40% Less than 50% entities and relationships are
50-64% entities and
relationships completed
65-74% entities and
relationships completed
75-84% entities and
relationships completed
85-100% entities and
relationships completed
Effective communication
30% Difficult to understand for audience, no logical/clear structure, poor flow of ideas, argument lacks supporting evidence. Audience cannot follow the line of reasoning.
Information, arguments and evidence are presented in a way that is not always clear and logical. Line of reasoning is often difficult to follow.
Information, arguments and evidence are well presented, mostly clear flow of ideas and arguments. Line of reasoning is easy to follow.
Information, arguments and evidence are very well presented; the presentation is logical, clear and well supported by evidence. Demonstrates cultural sensitivity.
Expertly presented; the presentation is logical, persuasive, and well supported by evidence, demonstrating a clear flow of ideas and arguments. Engages and sustains audience’s interest in the topic, demonstrates high levels of cultural sensitivity.
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