程序辅导代写接单-5011CEM Big Data Programming Project

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5011CEM Big Data Programming Project


Faculty of Engineering,Environment and Computing

5011CEM Big Data Programming Project

 

Assignment Brief

 

Module Title

Big Data Programming Project

Individual

 

Cohort:

JanMay2122

 

Module Code

5011CEM

Coursework Title (e.g. CWK1)

VIVA (resit)

Hand out date:

27.01.2023

Lecturers:

Seyed Mousavi (originally, Dr. Richard Hyde (ML))

 

Due date and time:

03.04.2023, 18:00 UK time

(You can submit the viva earlier if you want feedback)

 

Estimated Time (hrs):

10 min (maximum)

Limit*: 5 Minutes delivery + questions

 

 

 

Coursework type:

 

Presentation / VIVA

 

Weighting:

5 Credits

 

Submission arrangement: Online via Aula

File types and method of recording: Narrated PowerPoint, Recorded Video

Mark and Feedback date : tbc

Mark and Feedback method: Completed rubric and additional feedback via Aula

 

Module Learning Outcomes Assessed:

B4: DATA SCIENCE: work with (potentially large) datasets; using appropriate storage technology; applying statistical analysis to draw meaningful conclusions; and using modern machine learning tools to discover hidden patterns.

B5. SOFTWARE DEVELOPMENT: develop a product from the initial stage of requirement / analysis all the way through development to its final stages of testing / evaluation.

B6: PROFESSIONAL PRACTICE: understand professional practices of the modern ITindustry which include those technical (e.g. version control / automated testing) but also social, ethical & legal responsibilities.

B7: TRANSFERABLE SKILLS: apply a wide variety of degree level transferable skillsincluding time management, team working, written and verbal presentation to both experts and non-experts, and critical reflection on own and others work.

 

VIVA TASK

The VIVA will take the form of a submission of a recorded presentation of your work.

The recording should be an informal, meeting-like presentation and should be considered as an opportunity to showcase your work. The aim is for you to present your work clearly and effectively to your client.

You are allowed 5 minutes to deliver your main content. You will then answer the questions below where you are allowed up to 1 minute per answer. Poor timing will affect your grade.

Please note that, doing a great project work is not enough; its clear presentation is also needed to get its mark. The template provided must be used.

Following the presentation of your work, please verbally answer the following questions. Keep your answers brief and concise and take account of the timing indicated for each.

Typically, this will take the form of a narrated PowerPoint presentation which can either be submitted as a PPT file, or saved as a video file. Ensure the video quality allows the file size to be small enough for submission.

Other forms of presentation are allowed, but it is your responsibility to ensure file sizes are acceptable and the work achieves the grading criteria.

 

VIVA QUESTIONS

1. You have tested your code using ozone (o3). We have many chemical species to analyse, how would you need to adapt your code to work with carbon dioxide (CO2) for example.

2. If we wanted to analyse multiple chemical species at the same time, how would that affect our HPC requirements, e.g., number of processors?

3. One of our measuring instruments uses -9999 as an error code, not NaN. How would you adapt your code to check for this error?

This assessment is graded out of 100 and contributes 5 credits towards the module grade.

 

NOTES:

1. This is a client presentation. You are explaining to your client how you have achieved what they asked for. You are not explaining to your tutor how much work you did!

2. Do not explain your code syntax line by line – or at all. Your client is interested in the results and the proof.

3. Practice, change and adapt. You will into get your presentation right first time. Change slides, adjust the content, think about what is on the slide compared to what you say.

4. You have time to practice and repeat so marking may be harsher than a live session.

5. Look at the grading rubric below and target the marks.

 

Notes:

1. You are expected to use the Coventry University APA style for referencing. For support and advice on this students can contact Centre for Academic Writing (CAW).

2. Please notify your registry course support team and module leader for disability support.

3. Any student requiring an extension or deferral should follow the university process as outlined here.

4. The University cannot take responsibility for any coursework lost or corrupted on disks, laptops or personal computer. Students should therefore regularly back-up any work and are advised to save it on the University system.

5. If there are technical or performance issues that prevent students submitting coursework through the online coursework submission system on the day of a coursework deadline, an appropriate extension to the coursework submission deadline will be agreed. This extension will normally be 24 hours or the next working day if the deadline falls on a Friday or over the weekend period. This will be communicated via your Module Leader.

6. You are encouraged to check the originality of your work by using the draft Turnitinlinks on Aula.

7. Collusion between students (where sections of your work are similar to the work submitted by other students in this or previous module cohorts) is taken extremely seriously and will be reported to the academic conduct panel. This applies to both courseworks and exam answers.

8. A marked difference between your writing style, knowledge and skill level demonstrated in class discussion, any test conditions and that demonstrated in a coursework assignment may result in you having to undertake a Viva Voce in order to prove the coursework assignment is entirely your own work.

9. If you make use of the services of a proof reader in your work you must keep your original version and make it available as a demonstration of your written efforts.

10. You must not submit work for assessment that you have already submitted (partially or in full), either for your current course or for another qualification of this university, with the exception of resits, where for the coursework, you maybe asked to rework and improve a previous attempt.   This requirement will be specifically detailed in your assignment brief or specific course or module information. Where earlier work by you is citable, i.e. it has already been published/submitted, you must reference it clearly.  Identical pieces of work submitted concurrently may also be considered to be self-plagiarism.

 

 

Mark allocation guidelines to students

Further details below.

 

Presentation Skills

 

Speaking clearly and confidently, inspires interest

10

Slides / or code demo well planned

10

Screen clear and not too crowded

10

Timing appropriate. %mins max talking, questions concise and timed well

10

Appropriate use of and / or explanation of jargon, abbreviations etc

10

 

 

Knowledge of Work

 

Clear explanation of project goals

10

Clear explanation of how goals achieved

10

Presentation of Results

10

Caveats re: accuracy of prediction

10

Clear, confident, accurate responses to questions

10

Total:

100

?

5011CEM Big Data Programming Project

This document is for Coventry University students for their own use in completing their assessed work for this module and should not be passed to third parties or posted on any website. Any infringements of this rule should be reported to [email protected].

 

 

1

2-4

5-7

8-9

10

Presentation Skills

Speaking

Not clear, mumbling, pausing, too quiet.

Difficult to understand or hear but mostly fluent.

Reasonably clear, generally fluent with some pauses and stumbles.

Generally clear and confident, but minor stumbles or pauses.

Very clear, speech flows well, no stumbles or pauses

Slide Planning

Slides poorly planned, does not flow well and structure not  very logical

Some planning evident, but flow between slides is generally not good.

Slides planned OK but content may be a bit muddled, or do not flow well throughout.

 

Well planned, but minor jumps or flow problems.

Excellent planning, story flows well between slides and content follows in logical order.

Slide Content

Slides unclear, difficult to read, images difficult to read

Some slides clear, some too crowded with text or images not readable

Most slides are clear, not too crowded and images visible

Slide generally clear and well laid out, minor issues with visibility, e.g. crowding, or image text too small

All slides are clear, well laid out and all content clear.

Timing

Too short or too long by a large margin, both presentation and answers to questions.

Timing not well planned, either rushed, or extended with pauses.

Timing is reasonable but not as accurate as it could be. Use of excessive pauses, or fast speaking to fill the time.

Timing good, but slightly over- or under-runs, speaking pace generally consistent with minor pauses or rushing.

Well timed, speaking at a consistent and appropriate pace.

Language and Grammar

Long explanations instead of correct jargon, poor sentence structure, poor  use of English

Generally understandable, but language may be ambiguous or unclear in places.

Understandable, but better use of jargon and abbreviations would help. Some poor English or grammar.

Language and grammar mostly correct with some minor issues, or improvements could be made in use of jargon and abbreviations.

All language is clear and easy to understand, good use of jargon and abbreviations, good sentence structure and grammar.

Content

Project Goals

Project goals not clear at any time.

Project goals vague and not presented early.

Project goals are clear, but may not be well explained early enough.

Project goals are clear for those familiar with the project but lacks detail for newcomers.

Project goals clearly explained early on before any technical content.

Methodology

No explanation of if, and how, project goals are achieved.

Poor explanation of if, and how, project goals are achieved.

Goals of project achieved, but some gaps in explanations.

Generally project goal completion well explained but may leave some minor questions.

Clear explanation of how project goals have been achieved.

Results

Poor, or no, presentation of results.

Results crowded together, visual not used or poor and hard to see.

Results are presented, but poor use of visuals to aid explanation.

Results explained and visuals used but may be some minor difficulties in interpreting the slide or graphs.

Good presentation of results using clear, easy to see visuals.

Predicted Requirements

No predicted estimate of processor or memory requirements as required by the project.

Estimated processor and memory requirements made, but not well justified, no or poor use of visuals. Precise estimate made with no slack.

Predicted estimate of processor or memory requirements but may not be well justified, or work not complete to a final answer. May provide a precise answer with no explanation of variations in timing with different data.

Sensible, well justified prediction. May lack in some detail or fails to include some slack for different data sets.

Good, well justified prediction of processor and memory requirements,well explainedwith clearly presented evidence. Takes account of how results may vary with different data.

Questions and Answers

Poor responses to questions with little of now information or apparent understanding.

Not all answers are complete or clearly stated.

Fair answers to most questions with some weaknesses in understanding or lack of confidence.

Good answers to the questions but may be some minor hesitation or gaps in the explanation.

All answers clearly and confidently answered.

 

 

 

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