INT303编程辅导、写作Data Analytics程序

” INT303编程辅导、写作Data Analytics程序INT303 Big Data AnalyticsCoursework and marking schemaSemester 1, 2020-20211. General InformationA. This coursework is the replacement of the closed/open book finalexamination due to covit19.B. It worth 70% of the total marks for this module and there is no resit andretake.C. This coursework will require approximately 1200 hours (number basedon group of 7 students individual contribution around 150 -170 hours(three to four full weeks).D. You will be penalized for late or non-submission according to XianJiaotong- Liverpool University regulations.E. You are reminded of the need to comply with Xian Jiaotong-LiverpoolUniversitys guidelines to Academic Integrity.F. Reports Should be written in Word or PDF.G. An electronic copy of each submission should be submitted to LearningMall, and a hard copy of each submission should be submitted to Dr.Gangmin Lis submission box (located at the 4th floor of SD) using theofficial Coursework Submission Cover Sheet.2. Learning Outcomes AddressedA. Demonstrate a solid understanding of processes and issues related to BigData Analytics;B. Identify applications of BDA that can help improve business operations;C. Determine the appropriate use of technologies, tools, and softwarepackages to support data analysis involving practical scenarios;D. Be proficient with at least one data analytics software package.3. FeedbackThe formal feedback for this assignment will be available after the examboard at the end of the semester. However, informal feedback can beprovided during the lab sessions or tutorial time if you are asking.4. InstructionsThis is a group assignment. Each group will consist of a maximum of 7students within Your lab practice group. As part of this exercise you mustlook into the literature, textbook, and all the extra materials provided in thesource. You need identify a problem and a relevant dataset, choose asuitable methodology and tools, analyze the data against the problem, andmake meaningful conclusions through a clearly identified and traceableprocess.You are expected to work in groups but you should write reportindividually. You are expected to submit two reports and deliver onepresentation.The three components will be individually marked based on 100marks. Their percentage on the final mark is indicated in the braces.You are also required to provide two individual 100 marks for your fellowteam mates.1. Your personal section in the final project report to assess your fellowteam mates contribution in 100 marks2. As a judge and listener to your fellow team mates presentation andmark their presentation in 100 marks4.1 Report No. 1 — Project Proposal (20% of 100 marks)Prepare a three-page document detailing your plan. This does not need to be toodetailed, 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. Proposed methodology (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 andalter or modify your proposed plans. This can either happen during the labsessions or will come in feedback on the specific proposal.See below for a list of 50 useful data sources: httpss://learn.g2.com/open-datasourcesDeadline: 11th of December 2020, 23:59 (Beijing Time)4.2 Report No 2 — Final Report (60% of 100 marks)Your final report should be seven pages long. However, you will be allowed anunlimited number of additional pages for references and appendices. This needsto contain at least the following:1. Explain the problem and motivation. You can borrow some material from yourproposal if you have not changed your plan.2. Explain what data you explored, where it came from, and how you understandit.3. Explain what you did for preprocess with the data. You should present the ideasin 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 personalcontribution and learning. The section must not be longer than 500 words and mustbe attached to the Final Report. It must contain a discussion of the followingissues from your individual perspective.a. A personal perspective of the problem addressed by the project. This mayinclude discussing the aims of the project, the benefits the project might offerand to whom if it Were successfully carried out, and the main benefits thatpursuing the project would offer the team members.b. A critical appraisal of the methods applied to address the problem and managethe project. This may include an evaluation of the methods used from yourperspective, a justification of why particular approaches have been taken andwhy alternatives have not been used, a discussion of how effective the selectedapproaches were and if, in hindsight, alternatives might have been better, adiscussion of how changes in the project plan and execution have been handledand if the project execution progressed as initially expected, an evaluation ofhow successful the project was and whether the results could be used tocontinue the work, and suggestions for improving the approach to solving theproblem and the project management. Write this from your personalperspective but relate this to the overall project.c. Reflections on your contributions to the project. Discuss which parts of theproject you Carried out/contributed to, how you approached these tasks andhow you interacted with other members, both in sharing your results and inorganizing the teams activities. Also consider how your personal experience ofthe project compared to your expectations and experience before you startedthe project, how well your existing skills were utilized and what new skills youhave 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 fromexecuting the project about your discipline, project management andteamwork. Consider how and where you might apply this in the future. Thecontent of your report must reflect the main items above. It is up to you how tostructure the report. You must write a reflective report about your groupproject from your individual perspective. Whilst the above details are intendedto help you with deciding what to put in the report, they are not necessarilycomplete nor should be used as section headings.e. Peer review. Briefly discuss the contributions of each member and give agrade for each of your team members (100 marks maximum).Note, the report must not copy material from any of the team reportsbut may refer to the content of the team reports.Deadline: 27th of December 2020, 23:59(Beijing Time)4.3 Presentation (10% of 100 marks)You are required to make some slides (no more than 15 pages) and give a talk (5minute) in Front of your lab group (or using Zhumu). I hope to see the followingelements in your talk.1. What is the problem and data you worked on?2. What were the key ideas in your approach?3. What techniques did you use?4. What conclusions you came up with?5. How do you evaluate and interpret your result?6. What did you learn from the project?Presentations will take place during the scheduled Lecture and Labsession on the week 16 and 17 (28th December to 8th Jan 2021).You will also be acting as a judge to mark your fellow team matesperformance with 100 marks.5. Marking Criteria for the AssessmentCredit will be awarded based on markers academic judgment based the followingcriteria.5.1 Reports:A. Report No 1 Project Plan:1. How well you understand the problem and the base data?2. How well you understand the analytical problem is a detective work?3. How well you understand data analyzing is to find insight of data?4. How well you understand the solution is never 100% satisfactory?B. Report No 2 – Final report:1. How well you can demonstrate you understand the data processprocedure?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 use oneyou 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 to justifyyour choices and evaluate their results?8. How well justified conclusions and concise discussion of future work?5.2 Presentation:1. Coherent and detailed presentation of the solution to the problem, focusingon major Challenges of the particular tasks in the project.2. Evidence of testing and evaluation with clear statements of what the solutionis provided and what conclusion is reached.3. How well you did in the project in comparison with other students?4. How well you can work with teammates and you can appreciate otherscontribution?6. Overall Mark CalculationYour final Mark will be calculated based on the following formula:Final mark = Mark_Report1 0.2 + Mark_Repor2 0.6 + M_pre 0.1+ Average (student mark_project) + Average (student mark _pre)/2 如有需要，请加QQ：99515681 或邮箱：99515681@qq.com

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