Big Data Analytics
Coursework and marking schema
Semester 1, 2020-2021
大数据分析作业代写 1. General Information：A. Thiscoursework is the replacement of the closed/open book final examination due to covit19.
1. General Information
A. Thiscoursework is the replacement of the closed/open book final examination due to covit19.
B. individual contribution around 150 -170 hours (three to four full weeks).
C. Youwill be penalized for late or non-submission according to Xi’an Jiaotong- Liverpool University regulations.
D. Reports should be written in Word or PDF.
2. Learning Outcomes Addressed 大数据分析作业代写
A. Demonstratea solid understanding of processes and issues related to Big Data Analytics;
B. Identify applications of BDA that can help improve business operations;
C. Determinethe appropriate use of technologies, tools, and software packages to support data analysis involving practical scenarios;
D. Be proficient with at least one data analytics software package.
3. Feedback
The formal feedback for this assignment will be available after the exam board at the end of the semester. However, informal feedback can be provided during the lab sessions or tutorial time if you are asking.
Report No. 1 — Project Proposal (20% of 100 marks) 大数据分析作业代写
Prepare a three-page document detailing your plan. This does not need to be too detailed, but needs to at least contain:
1.Individuals in the group.
2.Details about the problem:
A. What the problem is.
B. Why the problem is interesting – refer to the literature.
C. Relevant work – refer to the literature.
3.Information about the data source:
A. What data you plan to use.
B. Where you plan to get it from.
4.Proposedmethodology (including subtasks, methods used in the analysis, tools, processes etc.).
5.Final evaluation methods and criteria.
6.Potential limitations and challenges.
Please note that it is quite likely that the instructor will provide feedback and alter or modify your proposed plans. This can either happen during the lab sessions or will come in feedback on the specific proposal.
See below for a list of 50 useful data sources: https://leaRN.G2.Com/open-data- sources
4.2 Report No 2 — Final Report (60% of 100 marks) 大数据分析作业代写
Your final report should be seven pages long. However, you will be allowed an unlimited number of additional pages for references and appendices. This needs to contain at least the following:
1.Explain the problem and motivation. You can borrow some material from your proposal if you have not changed your plan.
2.Explainwhat data you explored, where it came from, and how you understand it.
3.Explain what you did for preprocess with the data. You should present the ideas in words instead of cut- paste your codes.
4.Explain what method you used to analysis the data.
5.How do you interpret you result.
6.Discuss limitations of your approach.
7.Discuss what you would do differently in the future.
A separate section in your final report addresses your personal contribution and learning.
The section must not be longer than 500 words and must be attached to the Final Report. It must contain a discussion of the following issues from your individual perspective.
a.
A personal perspective of the problem addressed by the project. This may include discussing the aims of the project, the benefits the project might offer and to whom if it were successfully carried out, and the main benefits that pursuing the project would offer the team
b.
Acritical appraisal of the methods applied to address the problem and manage the project. This may include an evaluation of the methods used from your perspective, a justification of why particular approaches have been taken and why alternatives have not been used, a discussion of how effective the selected approaches were and if, in hindsight, alternatives might have been better, a discussion of how changes in the project plan and execution have been handled and if the project execution progressed as initially expected, an evaluation of how successful the project was and whether the results could be used to continue the work, and suggestions for improving the approach to solving the problem and the project management. Write this from your personal perspective but relate this to the overall
c.
Reflections on your contributions to the project. Discuss which parts of the project you carried out/contributed to, how you approached these tasks and how you interacted with other members, both in sharing your results and in organizingthe team’s Also consider how your personal experience of the project compared to your expectations and experience before you started the project, how well your existing skills were utilized and what new skills you have learnt. Justify why you should get the full percentage of the project mark.
d.
Lessons learnt and advice for the future. Discuss what lessons you learnt from executing the project about your discipline, project management and teamwork. Consider how and where you might apply this in the future. The contentof your report must reflect the main items It is up to you how to structure the report. You must write a reflective report about your group project from your individual perspective. Whilst the above details are intended to help you with deciding what to put in the report, they are not necessarily complete nor should be used as section headings.
e.
Peer review. Briefly discuss the contributions of each member and givea grade for each of your team members (100 marks maximum).
A. Report No 2 – Finalreport: 大数据分析作业代写
1.How well you can demonstrate you understand the dataprocess procedure?
2.How well you can assess data quality and quantity?
3.How well you can manage data preparation methods?
4.How well you can chose from many data analysis methods and useone you choose well?
5.How well you can make data analyzing report?
6.How well you can interpret your results?
7.Did you consider legal, social, ethical and professional issues tojustify your choices and evaluate their results?
8.How well justified conclusions and concise discussion of future work?
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