Need the balls to normally distrubute through the box29/11/2020 1 D DEPARTMENT OF COMPUTER...

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Need the balls to normally distrubute through the box29/11/2020  1        D DEPARTMENT OF COMPUTER SCIENCE AND TECHNOLOGY  COURSEWORK  ASSESSMENT DESCRIPTION 2020/21 MODULE DETAILS:  Module Number:    700110  Trimester:   1   Module Title:    Simulation and Artificial Intelligence  Lecturer:    Amadou Gning  COURSEWORK DETAILS:  Assessment Number:  2  of  2   Title of Assessment:    Interactive Galton board simulation  Format:     Program   Report   Demonstration   Method of Working:     Individual   Workload Guidance:   Typically, you should  expect to spend between  70 and 100  hours on this  assessment  Length of  Submission:  This assessment should be no  more than:  (over length submissions will be  penalised as per University policy)  1500 words  (excluding diagrams, appendices,  references, code)  PUBLICATION:  Date of issue:    29th November 2020  SUBMISSION:  ONE copy of this  assessment should  be handed in via:   Canvas  If Other  (state method)              Time and date for  submission:  Time 2pm Date 08 Jan 2021  If multiple hand–ins  please provide  details:     Will submission be  scanned via  TurnitinUK?   Yes  If submission is to be scanned byTurnitin, these should  be one of the allowed types e.g. Word, RT, PDF, PPT,  XLS etc.  Specify any particular requirements in the subumission  details  Students MUST NOT submit ZIP or other archive  formats unless specified.   Students are reminded they can ONLY submit ONE file  and must ensure they upload the correct file.   Normally only the LAST submission will be considered  (and if late incur a late penalty).   The assessment must be submitted no later than the time and date shown above, unless an  extension has been authorised on a Coursework Extension Form: see the Canvas site:  Help&Support > Student Forms  29/11/2020  2  MARKING:  Marking will be by:     Student Name     ASSESSMENT:  The assessment is  marked out of:    100  and is  worth   50   % of the  module  marks  N.B If multiple hand-ins please indicate the marks and % apportioned to each stage above (i.e.  Stage 1 – 50, Stage 2 – 50).  It is these marks that will be presented to the exam board. ASSESSMENT STRATEGY AND LEARNING OUTCOMES:  The overall assessment strategy is designed to evaluate the student’s achievement of the module  learning outcomes, and is subdivided as follows:    LO Learning Outcome Method of Assessment  {e.g. report, demo}  1            2        Show evidence of a systematic and  comprehensive understanding of real-time  physically based modelling algorithms and  techniques. Critically evaluate, review and amend  approaches used to improve these algorithms.    Implement real world simulation, applying  techniques from mathematics and physics, for use  in virtual environments and computer games,  using selected mathematical techniques of  vectors, matrices and numerical integration.    program, report, demo            program, demo   Assessment Criteria Contributes to  Learning Outcome  Mark    Core features  Complete product  Core physics  Advanced features    1, 2  1, 2  1, 2  1, 2  15  15  50  20 FEEDBACK  Feedback will be  given via:   Verbal (via demonstration)  Feedback will  be given via:   Mark Sheet  Exemption   (staff to explain  why) Feedback will be provided no later than 4 ‘teaching weeks’ after the submission date.   This assessment is set in the context of the learning outcomes for the module and does not by  itself constitute a definitive specification of the assessment.  If you are in any doubt as to the  relationship between what you have been asked to do and the module content you should take this  matter up with the member of staff who set the assessment as soon as possible.     You are advised to read the NOTES regarding late penalties, over-length assignments, unfair  means and quality assurance in your student handbook, which is available on Canvas.    In particular, please be aware that:  29/11/2020  3  • Up to and including 24 hours after the deadline, a penalty of 10%  • More than 24 hours and up to and including 7 days after the deadline; either a penalty of  10% or the mark awarded is reduced to the pass mark, whichever results in the lower  mark  • More than 7 days after the deadline, a mark of zero is awarded. • The overlength penalty applies to your written report (which includes bullet points, and lists  of text.  It does not include contents page, graphs, data tables and appendices). 10-20%  over the word count incurs a penalty of 10%. Your mark will be awarded zero if you exceed  the word count by more than 20%.       Please be reminded that you are responsible for reading the University Code of Practice on  Academic Misconduct through the Assessment section of the Quality Handbook (via the  SharePoint site). This govern all forms of illegitimate academic conduct which may be described  as cheating, including plagiarism. The term ‘academic misconduct’ is used in the regulations to  indicate that a very wide range of behaviour is punishable.     In case of any subsequent dispute, query, or appeal regarding your coursework, you are reminded  that it is your responsibility to produce the assignment in question.            29/11/2020  4  Simulation ACW –  Interactive Galton Board Simulator   The aim of the ACW is to research, design and implement a physically-based modelling  demonstrator of the so-called Galton board. Also known as the bean machine, the Galton board is  a nice teaching tool for illustrating the sampling process of the normal distribution. Galton Board (left) and 3D simulation aimed for this ACW (right).  The demonstrator consists of three components:  • at the top, a 3D funnel where objects fall through,  • at the middle, a large vertical 3D box with regularly distributed pegs obstacles for falling  balls,  • at the bottom, a set of vertical bins uniformly distributed horizontally    Graphically, the funnel, the box and the tubes can be rendered as semi-transparent or wireframe. Requirements     29/11/2020  5  The funnel  Objects are dropped into a large funnel with initially a large number (more than 200) dropped  simultaneously. The funnel top diameter is 12cm while its small diameter is 2cm. The funnel is  positioned above the box with its small hole positioned approximately at the centre (vertically).    The board   The board is a box 12 cm tall, 12 cm wide and 4cm in depth. The box has pegs (e.g., small tubes  of 0.1cm diameter) regularly distributed 10 rows  10 columns. The board top and down faces are  open allowing objects to fall into tubes.  The bins  The bins are boxes 10 cm tall, 1cm wide and 4cm in depth. Note that the choice of a width of 1cm  means that 12 bins are to be created and the objects width should be

29/11/2020 1 D DEPARTMENT OF COMPUTER SCIENCE AND TECHNOLOGY COURSEWORK ASSESSMENT DESCRIPTION 2020/21 MODULE DETAILS: Module Number: 700110 Trimester: 1 Module Title: Simulation and Artificial...

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