Introduction 2019 Semester 1 COMP20007 Design of Algorithms School of Computing and Information Systems The University of Melbourne Assignment 1: Convex Hull Due: 11:59 PM Thursday April 11th A set S in the plane is called convex if it satisfies the following property: for every pair of points p, q ∈ S the line segment […]
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Coursework Description Distributed Computing 2018/19 COMP51715 Module Coordinator: Dr. Rob Powell The summative assessment for this module will consist of ONE Java based project, and ONE written assign- ment. Following their successful rollout of their new comptuer system, DropFiles want to make their system more scalable to grow customer numbers. The aim of this coursework
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COMP3109 Assignment 1 Programming in Functional Languages (10 marks) This first assignment is an individual assignment, and is due on Friday, at 6pm, in Week 6. The aim of this assignment is to implement a symbolic rewrite system for matrix calculations. For assessment, please pack the source code into a zip-file and submit it via
Introduction Big Data (H) 2018-19 2nd Assessed Exercise: Apache Spark The goal of this exercise is to familiarize yourselves with the design, implementation and performance testing of Big Data crunching tasks using Apache Spark. You will be required to design and implement algorithms for parsing, filtering, projecting, and transforming data, over a relatively large dataset,
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MM409/MM509 – Lab. 2 February 7, 2019 [FA] By the end of this Lab, you will • be familiar with more basic Matlab operations; • have used the help command a few times; • know how to use for and if stetements; • have built a few more functions on your own and written a
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Macquarie University, Department of Computing COMP332 Programming Languages 2019 Solving the Frogs and Toads problem in Scala Introduction This project provides (a minimal skeleton for) a Scala application to solve the frogs and toads puzzle and to generate an animation of the solution found. This puzzle was originally discussed in the book “Winning Ways for
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Macquarie University, Department of Computing COMP332 Programming Languages 2019 Assignment 1 Due: 11am Wednesday 4 September (week 6) Worth: 10% of unit assessment Marks breakdown: Code: 50% (of which tests are worth 10%) Report: 50% (of which test description is worth 10%) Submit a notice of disruption via Ask@MQ if you are unable to submit
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Practical Block-wise Neural Network Architecture Generation Zhao Zhong1,3∗, Junjie Yan2,Wei Wu2,Jing Shao2,Cheng-Lin Liu1,3,4 1National Laboratory of Pattern Recognition,Institute of Automation, Chinese Academy of Sciences 2 SenseTime Research 3 University of Chinese Academy of Sciences 4 CAS Center for Excellence of Brain Science and Intelligence Technology Email: {zhao.zhong, liucl}@nlpr.ia.ac.cn, {yanjunjie, wuwei, shaojing}@sensetime.com Abstract Convolutional neural networks
, School of Science COSC2626/2640 Cloud Computing Assignment 1 1. Overview This assignment consists of 4 tasks: • Task 1: Develop a Python based application using Google App Engine • Task 2: Develop a PHP based application using Google App Engine • Task 3: Develop a Google BigQuery based application • Task 4: Writing a
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DATA MINING AND MACHINE LEARNING (NEU) ASSIGNMENT 1 DUE ON 23:59 3 AUG, 2018 (SAT) Q1. (20 marks) In Gaussian elimination, we perform three types of elementary row operations on a matrix M: • Type 1: Swap the positions of two rows. • Type 2: Multiply a row by a nonzero scalar. • Type 3:
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