BST811留学生代写、代做DATA ANALYTICS、R编程语言调试、R代写代写

日期：2019-12-02 10:06

BST811 BUSINESS DATA ANALYTICS

Academic Year 2019-2020 (Autumn Semester)

COURSEWORK

Essay Title (Choose a title that reflects your assignment)

This assessment takes the form of a structured essay and accounts for 100% of your total mark.

The deadline for submission is week 10, Wednesday 4

th December 2019. This coursework is

of two parts, a theoretical part and an empirical part.

Your coursework should be structured as follows:

Part One: 50%

1. Discuss the difference between structured and unstructured data using examples and

provide a clear description of the most suitable tools and applications to manage and

analyse different types of data sets. (500 words)

2. Critically discuss ‘‘big data” its application and uses in operations or logistics or

shipping or sustainability or supply-chain management. Please note that you are only

required to focus on one area. (1500 words).

Part Two: 50%

A. You need to use R to complete the requirements of this part of the coursework and you

are required to submit two R files (R-Markdown document and R-Markdown file).

B. You need to download the data file titled: “Coursework Data File”, also you need to

watch week 4 lecture video titled “Business Analytics Coursework The Answers Using Excel”.

This video explains the data sample you are going to use for your coursework.

C. You are required to complete the following tasks (1000 words):

1. Observe the variables “Loading Date”, “Year of Built”, “vessel type” and “cargo size”

in the dataset. (5%)

i. Check the data type (format) of the following variables: “year of built”, “vessel

type” and “cargo size”. If necessary, modify the data type.

ii. Check if these variables contain missing values. Exclude all observations where at

least one of these variables “Loading Date”, “year of built” and “vessel type” and

“cargo size” contain missing values and save it.1

2. Create a weekly time series of vessels fixture (a count of number of weekly fixed ships)

and total cargo capacity2

. (5%)

3. Plot a weekly time series showing total number of vessels fixtures and total cargo

capacity loaded onboard ships. You need to provide a table with the data used to plot

the time series3

. (5%)

4. Identify the week that had the highest number of vessel fixtures and the most loaded

cargo in tonnes4

. (5%)

5. Structure a table and provide a suitable illustration that categorises total fixtures and

cargo capacity by vessel type and year of built. (5%)

6. Forecasts are required to support decisions in the future. We need to provide the forecast

to support operational planning one week in advance. Use naïve and simple moving

average to provide one-week ahead forecast. (5%)

7. Which approach do you recommend using for this forecasting task? Critically discuss

your answer and plot your forecasts. (5%)

8. Historical time series may contain useful information that are useful for decision

makers. Do you see any pattern in the weekly time series of vessels fixtures and total

cargo capacity? Use visualisations and critically discuss to justify your answer. (5%)

The following marking criteria will be applied for each point.

i. 0% → No Attempt

ii. 2% → Poor Attempt

iii. 3% → Good Answer

iv. 4% → V. G. Answer

v. 5% → Excellent Answer

The essay should be NO MORE THAN 3,000 WORDS IN LENGTH and all sources should

be acknowledged in the appropriate place in the text. You are advised to use the Cardiff

Harvard referencing system.

What Files You Need to Submit?

1. A document file (PDF/Word) that answers the two questions in Part One. (Essential)

2. A R-markdown document that shows your work for Part Two. (5%)

3. A R-markdown file that can be used to reproduce your work for Part Two. (5%)

Submission is on week 10, Wednesday 4

th December 2019.

Essays must be submitted online on Learning Central BEFORE 11:00 p.m.

Note: You are also advised to attach a cover sheet containing: the module code, module title,

lecturer’s name, scheme of study, student’s name and student number.

1 Tip 1: this will reduce the sample size significantly.

2 Tip 2: You need to create a cargo capacity variable using the cargo size column in the data sample.

3 Tip 3: the horizontal axis represents time in weeks starting from week .. to week .. of 2019.

4 Tip 4: your answer should be in the form: week no. XX had a total of XX fixtures and the total cargo loaded

onboard vessels was X,XXX,XXX tonnes.

References

Ensure all sources of information are referenced correctly using the Cardiff Harvard Style of

Referencing – if unsure see the handout from the library.

Unfair Practice

This is an individual assignment and you are advised not to engage in any activity that might

lead to suspicions of Unfair Practice. Details of the University Regulations may be found at

https://intranet.cardiff.ac.uk/students/your-study/exams-and-assessment/sittingyourexam/cheating-and-unfair-practice

and you should familiarise yourself with these

regulations before starting your coursework.

On the front page of the assignment, you should include:

§ Name

§ Student number

§ Title of coursework

§ Title of Module and module number

§ Name of lecturer

§ Date of submission

§ Word count

Students are advised to keep a second copy for themselves. Should there be special

circumstances that mean you are unable to meet the submission deadline, you must obtain an

extension from the Chair of the Board of Examiners. Forms are available from room A-04 or

Learning Central. If you are not in Cardiff then contact your Personal Tutor.

Good luck

Dr. Wessam Abouarghoub

Coursework marking-criteria

For 90%+

An outstanding piece of work, showing mastery of the subject matter, with a highly developed ability to analyse,

synthesise and apply knowledge and concepts. All objectives of the assignment are covered and the work is free

of error with very high level of technical competence. There is evidence of critical reflection; and the work

demonstrates originality of thought, and the ability to tackle questions and issues not previously

encountered. Ideas are expressed with fluency. All coursework requirements are met and exceeded.

For 70% - 89%

An excellent piece of work, showing a high degree of mastery of the subject matter, with a well-developed ability

to analyse, synthesise and apply knowledge and concepts. All major objectives of the set work are covered, and

work is free of all but very minor errors, with a high level of technical competence. There is evidence of critical

reflection, and of ability to tackle questions and issues not previously encountered. Ideas are expressed clearly.

However the originality required for a 90+ mark is absent. All coursework requirements are met and some are

exceeded.

For 60%-69%

A very good piece of work, showing a sound and thorough grasp of the subject-matter, though lacking the breadth

and depth required for a first class mark. A good attempt at analysis, synthesis and application of knowledge and

concepts, but more limited in scope than that required for a mark of 70+. Most objectives of the work set are

covered. Work is generally technically competent, but there may be a few gaps leading to some errors. Some

evidence of critical reflection, and the ability to make a reasonable attempt at tackling questions and issues not

previously encountered. Ideas are generally expressed with clarity, with some minor exceptions. All coursework

requirements are addressed adequately.

For 50%-59%

A fair piece of work, showing grasp of major elements of the subject-matter but possibly with some gaps or areas

of confusion. Only the basic requirements of the work are covered. The attempt at analysis, synthesis and

application of knowledge and concepts is superficial, with a heavy reliance on course materials. Work may

contain some errors, and technical competence is at a routine level only. Ability to tackle questions and issues not

previously encountered is limited. Little critical reflection. Some confusion and immaturity in expression of

ideas. Most coursework requirements are addressed.

For 40%-49%

A poor piece of work, showing some familiarity with the subject matter, but with major gaps and serious

misconceptions. Only some of the basic requirements of the work set are achieved. Little or no attempt at analysis,

synthesis or application of knowledge, and a low level of technical competence, with many errors. Difficulty in

beginning to address questions and issues not previously encountered. Some intended learning outcomes are

achieved.

For 30%-39%

Work not of passable standard, with serious gaps in knowledge of the subject matter, and many areas of confusion.

Few or none of the basic requirements of the work set are achieved, and there is an inability to apply knowledge.

Technical competence is poor, with many serious errors. The student finds it difficult to begin to address questions

and issues not previously encountered. The level of expression and structure is very inadequate. Few intended

learning outcomes are achieved.

Below 30%

A very poor piece of work, showing that the student has failed to engage seriously with any of the subject matter

involved, and/or demonstrates total confusion over the requirements of the work set. Virtually none of the

intended learning outcomes are achieved.