50% of total grade
Project Details
50% of total grade
High Distinction:- A clearly set out plan with goals and methods systematically and logically follows from strong background research. Objectives are justified. Good understanding of the problem domain is strongly evident.(85 100%)
Distinction:- Excellent, clear definitions of a substantial and significant analytics tasks and/or hypotheses. The definition of scope of work is closely informed by contexts and relevant assumptions. Objectives are justified.(75 84%)
Credit:- Plan identifies and justifies a set of achievable high-level analytics tasks that are completely aligned with the given project objectives.(65 74%)
Pass:- The project plan is completed timely as per the original due date and meets all submission requirements. It covers appropriate amount of details about the project contexts, motivations, pain points, priorities, and/or the desired practical outcomes.(50 64%)
Fail:- Not addressed or general statement that lacks sufficient detail to assure mutual understanding of project direction and/or the contexts of the project objectives.(0 49)
Planning
35% of total grade
High Distinction
The plan outlines effective use of diverse teamwork performance theories / frameworks / tools / technologies.
85 100%
Distinction
Incorporates one proven teamwork performance analysis framework / tool (e.g. Belbin, RACI Matrix, Myers-Briggs Type Indicator, etc). Lists detailed expectations on ethical and professional conducts.75 84%
Credit
Includes comprehensive teamwork risk identification, mitigation and potentially effective conflict resolutions. An effective design of performance monitoring mechanism exists. Overall approaches are constructive.65 74%
Pass
The project plan is completed timely as per the original due date and meets all submission requirements. It fully addresses the assignment requirements and contains the right amount of details about the breakdown of tasks, division of work, and team members responsibilities. Plan provides a precise amount of details about how the team will interact with one another, including a schedule of meetings and internal deadlines. Work is divided evenly amongst team members. There is an effective identification of milestones and checkpoints.50 64%
Fail
Not addressed or general statement that lacks sufficient detail to assure mutual understanding of project direction and the expected individual performance. Work is divided unevenly or not at all.0-40
Document Quality
15% of total grade
High Distinction
Document contains additional elements that showcase the team's distinctive effort and ingenuity in planning the project.85 100%
Distinction
Document incorporates useful and effective project management charts/tools/diagrams.75 84%
Credit
Clear, concise sentences. No grammatical errors. Document is well formatted and well organised. The document presents information in a logical order. The headings are appropriate and have parallel structure.65 74%
Pass
The project plan is completed timely as per the original due date and meets all submission requirements. Adequate sentence structure but may require editing for clarity/wordiness. Some grammatical errors, but these do not impede understanding. Document is formatted as required but its organisation could be improved. The plan does not present information in a logical way easy for the reader to understand.50 64%
Fail
Very poor sentence structure, and/or usage of inappropriate language or language that is too informal. Significant grammatical errors. Document is not formatted or organised according to assignment requirements. Contains a lot of missing essential elements and details.0 49%
4. Group Project Report (Group: 40%)
About
This assessment must be completed within your existing group. Individual work submissions will not be accepted.
This document only contains the description of assignment tasks. To see the due date and submit the work, please go to the separate Turnitin submission page in the same folder as this document.
In this assignment, your team continues with the full implementation of the data analytics methodology proposed by your team in the previousGroup Project Presentation. The implementation should address the project objective that your teamaims for(refer to theProject and Data Briefdocument) and be in accordance with yourGroup Project Plan.
To pass, you must at least address theessentialobjective. However, to be considered for a higher grade (D or HD) your team must address both theessentialanddesirableobjectives of the project (see the Project and Data Brief).
Tasks
What you do in this assessment is dictated by:
The objectives set out in the Project and Data Brief document
The scope of work outlined in your Group Project Plan
The methodology proposed in your Group Project Presentation
Any change or improvement to the methodology is permitted at this stage but must be explained and justified in this report.
Specifically, your instructor is looking for demonstrable evidence of mastery of data analytics and data visualisation topics that are taught throughout this semester (except Week 12). Although there are plentiful machine learning models available in Python libraries, it is preferred that you use the models taught in this unit to produce well-articulated and in-depth analyses.
Individualteam members must demonstrate competencies in Python programming to obtain a passing grade in this assessment. If in doubt, your instructor may conduct further investigations.
The main deliverable is a written report that needs to have the followingbasicstructure:
Title page, table of contents, and list of figures
Problems
Methods
Results
Discussions
Conclusion
List of references
Brief descriptions of individual contributions
Grading
Unless stated otherwise in your Group Project Plan, all members equally share the grade for this assignment. Your instructor reserves the right to differentiate individual grades where appropriate.
The design of this assignment's marking rubric incorporates elements of the existing rubric used by Carnegie Mellon University.
Submissions
Submit this assignment using the separate Turnitin submission link in the same folder as this assignment description.
Submit your workno later thanthe stated due date of this assignment (see the Turnitin submission page for the due date).
1 group report per team. The report must be in a Microsoft Word file (.docx) and not exceed 8,000 words (A4, single-spaced, single-column, 11pt font),excludingthe title page, table of contents, list of figures, and list of references. There is no minimum length to the report. Do not submit multiple documents.
(optional) appendices to accompany the report. Submit this as a separate document.
Email submissions will not be accepted.
Academic integrity and assessment irregularities
Academic integrity is a core value at CDU and must be upheld at all times when completing this assignment. You must not plagiarise the work of others. Please refer to theStudents - Breach of Academic Integrity Procedures.
Other assessment irregularities are governed by CDU'sHigher Education Assessment Procedures.
2. Group Project Presentation (Group: 30%)
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Assignment Content
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About
This assessment must be completed within your existing group. Individual work submissions will not be accepted.
Your team must propose a data analytic methodology that addresses the client's project objective as described in the providedProject and Data Briefdocument. The proposed methodology must befullyimplemented inAssessment 4 (Group Project Report),although preliminary results may be presented in this Presentation.
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Tasks
Your team must deliver a group presentation in front of the examiner.
The presentation must propose a data analytics methodology to address the project objectives you identified earlier when drafting the Group Project Plan. Methodology refers to a systematic, stepwise approach that utilises analytic techniques and algorithms taught in this unit.
Additional algorithms not taught in this unit are not essential for passing this assignment. However, they may be incorporated into the proposed methodology only afterincludingthe taught algorithms and may help achieve higher grades. To be further considered for a higher grade (D or HD), you must also produce useful preliminary analytics results (using any method learned in Weeks 1 - 6).
Like most real data science projects, we may expect a presentation of diverse approaches to address the project objective. No two teams are likely to produce identical proposals and/or results.
For more detailed requirements of this assignment, please see the marking rubric.
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Grading
Unless stated otherwise in your Group Project Plan, all members equally share the grade for this assignment. Your instructor reserves the right to differentiate individual grades where appropriate.
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Submission
Submit the following via Learnlineno later thanthe stated due date of this assignment:
1 URL to a recorded presentation per team published as 'unlisted' on YouTube. Do not submit multiple recordings and do not submit the recording file unless requested specifically by your lecturer.
The final presentation slides as a Microsoft PowerPoint file.
(if applicable) any supplementary material in support of the presentation. All supplementary materials must be submitted as a single .zip file.
In line with the Unit Information, this assessment requires no more than 4 minutes of presentationper team member. So, a 4-student team is expected to deliver a maximum of 16 mins of presentation. Not complying with this requirement will attract a mark penalty.
All team members are expected to participate equally in the presentation.
Please make one submission per group. Do not make multiple individual submissions.
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Academic integrity and assessment irregularities
Academic integrity is a core value at CDU and must be upheld at all times when completing this assignment. You must not plagiarise the work of others. Please refer to theStudents - Breach of Academic Integrity Procedures.
Other assessment irregularities are governed by CDU'sHigher Education Assessment Procedures
S124 PRT564 DATA ANALYTICS AND VISUALISATION
1. Group Project Plan (Group: 10%)
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Assignment Content
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About
This assessment should be completed in a group of 4 students. Individual submissions will not be accepted.
This assessment requires that your team work together to produce a data analytics Project Plan. Before going further, you must have completed the group formation steps and read theProject and Data Briefdocument.
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Tasks
In your group, please develop and submit a Project Plan. Essentially, the Plan describes what your team needs to do to accomplish the project objectives outlined in theProject and Data Briefdocument. To be complete, the Plan must be signed by each team member and will serve as the group contract that governs the conduct and performance of all team members throughout this semester.
Content
A. Problem restatement and scope
This section must demonstrate your team's understanding of the project objectives' contexts, motivations, pain points, priorities, and the desired practical outcomes. Clearly state what your team will and will not do for this project. You must restate the project objectives in the form of high-level data analytics tasks, with appropriate justifications.
Expect to do some independent research and readings here.Simply copying the project objectives from the Project and Data Brief document will not earn your team any points.
B. Terms and conditions of group work
We look for evidence that your team is capable of working collaboratively, professionally, and ethically. For this section, your team must discuss, agree, and put in writing the terms and conditions for working as a team. These may include but are not limited to how grades should be awarded to each member, how and when to communicate, what tasks individuals are responsible for, how to anticipate diverse ways of working, how constructively resolve conflicts within groups, and how to ensure the submitted work does not breach the University's academic integrity policies.
C. Milestones and checkpoints
This section includes provisional milestones and checkpoints to complete the project.
Originality
This submission is checked against plagiarism using SafeAssign.
Your writing must be original.Please do not use words that are not yours. Violating this requirement may constitute a serious breach of academic integrity and the plagiarised content will not be assessed.
Format
Please use the template below as the starting point of your project plan. You should then continue by adding more pages.
The format and layout of page 1 mustnotchange. You are free to format the rest of the additional pages. Use the standard font Calibri, size (11pt), with single-line space.
PRT564 Group Project Plan Template.docx
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Grading
Unless stated otherwise in your Group Project Plan, all members equally share the grade for this assignment. Your instructor reserves the right to differentiate individual grades where appropriate.
The design of this assignment's marking rubric incorporates elements of existing rubrics used in CSC290 University of Toronto and PRT820 Charles Darwin University.
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Submission
Submit your work via Learnlineno later thanthe stated due date of this assignment.
The submission must be a single Microsoft Word document (.docx) of no more than 1,200 words,not countingthe words on the first page.
Email submissions will not be accepted.Do not submit multiple documents. An additional title page and table of contents are not required.
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Academic integrity and assessment irregularities
Academic integrity is a core value at CDU and must be upheld at all times when completing this assignment. You must not plagiarise the work of others. Please refer to theStudents - Breach of Academic Integrity Procedures.
Other assessment irregularities are governed by CDU'sHigher Education Assessment Procedures.
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