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Big Data Analytics

创建日期：2024-07-20 15:03:37

所属分类：计算机computer science

标签： Data

Big Data Analytics

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Big Data Analytics

Coursework and marking schema

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

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)

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.

4.2 Report No 2 — Final Report (60% of 100 marks)

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.

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MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 EARN 5 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