CM10228 Coursework 3 Dungeon of Doom – Part 4 April 7, 2017 1 Introduction Due Date: 19.00 on 5th May 2017 Overall, your mark in Programming 2 is composed of, 1. 50% coursework, 2. 50% exam. The coursework component (part 1. above) is made up of three exercises (CW1, CW2 and CW3) each of which […]
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L3. Agile Software Development (II) Introduction to Gradle Dr A Boronat Continuous Delivery Gradle Sprint 1: • Goal: test next week – Tuesday 18 October 16:00-18:00 (CW 301) • Schedule: calendar on Blackboard • Progress: sprint backlog • Groovy should be completed by now • STS ready • Exercises: solutions 2 / 20 https://blackboard.le.ac.uk/webapps/blackboard/content/listContentEditable.jsp?content_id=_1290722_1&course_id=_1807_1&mode=reset https://github.com/uol-inf/CO2006-16-17/blob/master/sprint1/Groovy_exercises/src/solution/exercises_solutions.groovy
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Microsoft Word – ProgrammingAssignmentTwo_Instructions.docx 1 Programming Assignment 2 Interactive Histograms with D3.js Background Histogram is one of the most used graphs in data analysis. It helps me to see the distribution of data. Almost all visualization systems include histogram tools. Objective In this assignment, you will build an interactive histogram tool. Figure 1 shows what your histogram should look like: Figure 1: An example of Histogram The histogram should include the following x x‐axis and text labels x y‐axis and numerical labels x while space between bars Usually, histogram tools are interactive, and allows users to manipulate data or the presentation of data. In this assignment, you are required to provide one simple function: interactive sorting. The goal is simple: users can click the two ends of both axes to sort the histogram: x Clicking any place left to the Y axis to sort the histogram with an ascending/a descending order on the Y value. Clicking the left of the Y axis again to reverse the order. x Clicking any place below the X axis to sort the histogram with an ascending/a descending order on the X value. Clicking below the X axis is reverse the order. The animated GIF found here shows what the expected result should look like: http://zhang.ist.psu.edu/teaching/402/Assignments/HistogramResult.gif 2 Data The data used to create the histogram can be found in histogramdata.tsv document under the folder of \\up.ist.local\Courses\Spring2017\IST402\ProgrammingAssignmentDataSets\Assignment2_Histogram\. Download the datafile and save it to your web space. Delivery In the dropbox on CANVAS, submit the URL to the web page on your web space (my.up.ist.psu.edu/…..). Pay attention two things: x Make sure the URL works. x Your can work on your HTML document before the submission deadline. After the deadline, DO NOT touch the HTML document of your assignment anymore. Otherwise, the document will have a time stamp after the deadline. Any submission with a time stamp later than the deadline will not be treated as late submission, and will not be accepted. Grading rubrics (10 points total)
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Preface Numerical Computing with MATLAB is a textbook for an introductory course in numerical methods, Matlab, and technical computing. The emphasis is on in- formed use of mathematical software. We want you learn enough about the mathe- matical functions in Matlab that you will be able to use them correctly, appreciate their limitations, and modify
L ibrary P irate Kenneth C. Louden San Jose State University Kenneth A. Lambert Washington and Lee University Principles and Practice Third Edition Programming Languages Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States C7729_fm.indd iC7729_fm.indd i 03/01/11 10:51 AM03/01/11 10:51 AM 52609_00_fm_pi-pxxvi.indd ii52609_00_fm_pi-pxxvi.indd ii
CO2017 Examination — Solutions This copy generated 25th March 2013. Title of paper CO2017 — Operating Systems, Networks, and Dis- tributed Systems Examination Session Midsummer Examinations 2013 Time allowed Three hours (3 hrs) Instructions This paper contains two sections, Section A and Section B. Attempt all of Section A. There are three questions in Section
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Page 1 of 3 School of Engineering and Computing Sciences, University of Durham MSc ISEB – Distributed Computing Coursework Description and Assessment 1. Introduction This document outlines the coursework and the marking criteria of the module assessment for Distributed Computing. The module assessment is completely based on this coursework. The aim of this coursework is
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Approximate Computing for Deep Learning in TensorFlow Approximate Computing for Deep Learning in TensorFlow Chiang Chi-An First of all, I would like to thank my dissertation supervisor, Dr. Pramod Bhatotia, for teaching me how to conduct rigorous research, organize my thoughts, and produce a well-structured thesis. From beginning the proposal to finishing the dissertation, He
COMP3421 COMP3421 The programmable pipeline and Shaders The graphics pipeline Projection transformation Illumination Clipping Perspective division ViewportRasterisation Texturing Frame buffer Display Hidden surface removal Model-View Transform Model Transform View Transform Model User The graphics pipeline Projection transformation Vertex shading Clipping Perspective division ViewportRasterisation Fragment shading Frame buffer Display Hidden surface removal Model-View Transform Model Transform
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COMP3421 COMP3421 Hidden surface removal Local Illumination Solutions Solution 1 Ambient Coefficients: (1,0,0,1) * (0,0,0,1) = (0,0,0,1) No ambient reflections (black) Diffuse Coefficients: (1,0,0,1) * (1,1,1,1) = (1,0,0,1) Red diffuse reflections possible depending on angle of light source Specular Coefficients: (1,1,1,1) * (1,1,1,1) = (1,1,1,1) White specular reflections possible depending on angle of light source
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