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THE UNIVERSITY OF HUDDERSFIELD
School of Computing and Engineering
ASSIGNMENT SPECIFICATION
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Module |
Details |
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Module Code |
NHE2530FNW |
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Module Title |
PCA, Clusters and Grids |
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Course Title/s |
BEng (Hons) Electronic Engineering and Computer Systems |
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Assessment |
Weighting, Type and Contact Details |
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Title |
Python for Parallel computing project |
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Weighting |
26% |
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Mode of working for assessment task |
Individual
Note: if the assessment task is to be completed on an individual basis there should be no collusion or collaboration whilst working on and subsequently submitting this assignment.
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Module Leader |
Dr S AMAMRA [email protected] |
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Module Tutor/s |
Dr A FARZAMNIA |
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Submission |
Submission and Feedback Details |
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Hand-out date |
16/09/2024 |
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How to submit your work.
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Brightspace/Turnitin |
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Submission date/s |
17/11/2024 by 12:00 noon – if you have any technical issues submitting your work, please contact the Module Leader as soon as possible.
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Expected amount of independent time you should allocate to complete this assessment
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30 hours |
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Submission type and format
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Lab report (1500 words, doc/pdf). |
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Submission |
Submission and Feedback Details |
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Date by which your grade and feedback will be returned
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16/12/2024
Note: This is a maximum of three working weeks after the submission deadline.
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Additional Guidance Information
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Details |
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Your responsibility |
It is your responsibility to read and understand the University regulations regarding conduct in assessment.
Please pay special attention to the assessment regulations (section 10) on Academic Misconduct. In brief: ensure that you;
1. DO NOT use the work of another student - this includes students from previous years and other institutions, as well as current students on the module.
2. DO NOT make your work available or leave insecure, for other students to view or use. 3. Any examples provided by the module tutor should be appropriately referenced, as should examples from external sources. Further guidance can be found in the SCEN Academic Skills Resource and UoH Academic Integrity Resource module in Brightspace. |
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Guidance on using AI: |
Level 1 – Not Permitted
The use of AI tools is not permitted in any part of this assessment. |
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School Guidance and Support
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If you experience difficulties with this assessment or with time management, please speak to the module tutor/s, your Personal Academic Tutor, or the Student Progress Mentors. Student Progress Mentor – useful links.
• Brightspace Module - SCE Student Progress Mentors (hud.ac.uk).
• Email - [email protected]
Booking an appointment - http://hud.ac/rgl
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Requesting a Late Submission |
It is expected that you complete your assessments by the published deadlines. However, it is recognised that there can be unexpected circumstances which may affect you being able to do so. In such circumstances, you may submit a request for an extension.
Extension applications must be submitted before the published assessment deadline has passed.
To apply for an extension, you should access the Extension System on MyHud.
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Extenuating
Circumstances (ECs)
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An EC claim is appropriate in exceptional circumstances, when an extension is not sufficient due to the nature of the request.
You can access details on the procedure for claiming ECs, on the Registry website; Consideration of Personal Circumstances
- University of Huddersfield, where you can also access the EC Claim Form.
You will need to submit independent, verifiable evidence for your claim to be considered. Once your EC claim has been reviewed you will get an EC outcome email from Registry. An approved EC will extend the submission date to the next assessment period (e.g July resit period). |
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Late Submission
(No ECs approved)
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Late submission, up to 5 working days, of the assessment submission deadline, will result in your grade being capped to a maximum of a pass mark.
Submission after this period, without an approved extension, will result in a 0% grade for this assessment component.
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Tutor Referral
available
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YES |
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Resources |
• Please note: you can access free Office365 software and you have 500 Gb of free storage space available on Microsoft’s OneDrive – Guidance on downloading Office 365.
• Python
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Assignment Title
Computer Cluster and Cloud Project
1. Assignment Aims
The aim of this assignment is to investigate parallel computing / processing using Python and it is based on practical laboratory work that consist of three distinct components:
- Test and validation of a serial Python Program to find roots of a Quadratic Equation.
- Parallel a serial program in the above point using Multiprocessing package on Python.
- Parallel a serial program in the above point using Joblib package on Python.
- Compare Multiprocessing and Joblib performance on Python to parallel serial programs.
2. Learning Outcomes:
Knowledge and Understanding Outcomes
2. Examine and compare the parallel computing packages on Python, and assess their performance, and theoretical speed up of parallel processing applications.
Ability Outcomes
3. Deploy a parallel processing program, using Python, using environment software.
4. Evaluate different Python packages for parallel processing using appropriate package tools, in order to justify their applicability/non-applicability in running specific engineering or scientific application.
3. Assessment Brief
This is an individual assignment, assessed by individual laboratory report.
The following serial code (Fig.1) is to find the Roots of a Quadratic Equation. The mathematical representation of a Quadratic Equation is ax²+bx+c = 0. A Quadratic Equation can have two roots, and they depend entirely upon the discriminant.
• If discriminant > 0, then Two Distinct Real Roots exist for this equation
• If discriminant = 0, Two Equal and Real Roots exist.
• And if discriminant < 0, Two Distinct Complex Roots exist
The serial program
Figure.1
Assignment objectives:
• Discuss parallel computing on Python with available different libraries?
• Please specify the difference between process and thread.
• Find out the number of your processors on your computer using the multiprocessing package.
• Use multiprocessing package to parallel the code in Figure-1 and record the running time. Hint: You may need to check out the pool.apply function.
• Use joblib package to parallel the code in Figure-1 and record the running time.
• Produce a laboratory report detailing
a. Research on the use of Python for parallel processing.b. Development of a code using multiprocessing package.c. Development of a code using joblib package.d. Performance analysis for the developed programs.e. Benchmarking – comparison of the developed programs.
4. Marking Scheme
The assignment work will be assessed through laboratory report.
The laboratory report should have a well-defined structure similar to the following:
Organisation and content (70%)
Date, Title
Software Used7
1. Brief Objectives
This should state clearly what the objectives of the laboratory are.
2. Diagrams
Diagram or system sketches.
3. Notes on the procedure used,
4. Programs design and test Results
a. Results obtained from these.
b. Performance comparison.
Discussion (20%)
The discussion section may need to be completed outside the timetabled session as this section shows if you understand the meaning and limitation of your results.
The contents should cover the following points where appropriate.
a) What can be learned from the results?
b) Do the simulation results agree with the theory or expected results?
c) What are the performances between the two procedures (Packages)?
d) Could the program design be done more accurately or in a better way?
e) Is there any further work which could be done?
Conclusion (10%)
Comments on the results obtained. A paragraph should be adequate for most sessions.
5. Grading Rubric
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Grading Rubric for NHE2404 DSP Applications Assignment
This assignment grading rubric has been developed to show how the assignment will be graded, you should therefore use it to enable you to maximise your
assignment grade in all areas. Post grading: the rubric can be used as feedback to show the aspects/areas that would be expected in any future related
assignment, to gain a higher grade.
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Awarded Grade |
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| 0 | 2 | 4 | 6 | 8 | 10 | |
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Lab Report: Organisation and content - weighting 70% |
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The title, date and equipment (10%)
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No
evidence
provided
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Some information on lab activities missing
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Inconsistent record of lab activities
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Most of the lab activities recorded and structured |
All lab records Structured fully as given in the Assignment sheet
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Diagrams (10%) |
Layout with no obvious structure. |
reasonably presented |
Structured with annotations and practical layout
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Easy to follow throughout and neatly presented
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Objectives (10%)
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Few objectives stated |
Some relevant objectives stated
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Most objectives stated with clear purpose of lab activities
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All objectives stated and demonstrating excellent understanding
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| Procedure (10%) | Brief procedure in Python program design outlined with no or minimal accompanying information |
Procedure in Python program design stated with some accompanying information
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Procedure in Python program design stated with detailed information and reasoning
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Procedure in Python program design stated with extensive information and reasoning behind the steps required to complete it
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Program design using Multiprocessing
(10%)
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Brief information on Program design |
Some information on
program design stated
with some accompanying
information
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Most the information on program design presented with detailed information the validation
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Detai led information onprogram design with extensive information on test and validation
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| Program design using joblib (10%) |
Brief information on Program design |
Some information on program design stated with some accompanying information
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Most the information on program design presented with detailed information the validation
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Detailed information on program design with
extensive information on test and validation
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Results/ relevant images (10%)
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Inadequately presented - untidy |
reasonably presented |
Structured with annotations and practical layout
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Easy to follow throughout and neatly presented
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Awarded Grade |
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| 0 | 4 | 8 | 12 | 16 | 20 | |
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Lab Report: Discussion 20% |
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Discussion (20%)
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No evidence provided
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Brief discussion on outcomes of the lab work
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Some discussion on outcomes of the lab work, with brief reflection on the experimental results
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Discussion on outcomes of the lab work, with reflection on sources of errors in experimental results
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Discussion on outcomes of the lab work, with suggestions for more accurate or better approach
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Critical discussion supported by evidence and analysis of the achieved outcomes
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Awarded Grade |
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| 0 | 2 | 4 | 6 | 8 | 10 | |
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Lab Report: Conclusion 10%10 |
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Conclusion (10%)
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No evidence provided
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Limited/inadequate conclusions – not accounting for achievements and or not relating to original Aims and Objective (A&Os)
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Basic conclusions given – related to original A&Os
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Extensive detailed conclusions
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Extensive detailed conclusions with reference to possible Future Work
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