MATH 4130B 3.0 – Fall 2019 Assignment 1 (Due Date: September 26, 2019) Question 1: The aim of this question is to review some of the basic concepts you have learned in the prerequisite courses. Consider the model yi =β+εi i=1,…,n where ε1, . . . , εn are independent and identically distributed with mean […]
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University of Technology Sydney Faculty of Engineering and Information Technology Subject: 32547 UNIX Systems Programming, Spring 2019 Assignment Description This assignment is an individual programming assignment using Perl. It addresses objectives 2 and 3 as listed in the Subject Outline document. No limits apply to the number of lines of code of the program. Assignments
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Faculty of Engineering and Information Technology School of Software 31927 – Applications Development with .NET 32998 – .NET Applications Development SPRING 2019 ASSIGNMENT-2 SPECIFICATION DUE DATE – Thursday, 14th October 2019 DEMONSTRATIONS – Labs of Week 12 This assignment is worth 35% of the total marks for this subject. Summary This assessment requires you to
General Note: The developed neural network only needs to approximate the output. It is understood that using the sigmoid activation function, the value at the output will never be exactly 0 or 1. The networks only need to produce a probability value that is either above or below 0.5, depending on whether the desired output
Assignment 3: Threading, Synchronisation and Data Integrity General Information Intent: Skills in utilising, classes, abstraction, data structures, threading, data synchronisation and documentation will be assessed. Individual Task Weight: 20% Task: Write a program in C++ using object oriented paradigms that shares data originating from a range of Mechatronics sensors between a number of threads. Ensure
MATH 4130B 3.0 – Fall 2019 Assignment 1 (Due Date: September 26, 2019) Question 1: The aim of this question is to review some of the basic concepts you have learned in the prerequisite courses. Consider the model yi =β+εi i=1,…,n where ε1, . . . , εn are independent and identically distributed with mean
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1. Introduction 1.1. Learning Outcomes After completing this assignment, you will have learnt to: • Design a class hierarchy using UML • Apply Object-Oriented principles (encapsulation, reuse, etc.) and Design Patterns to the software design • Implement the software design in C++ using class inheritance and polymorphism features • Write well-behaved constructors and destructors for
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Combinatory Logic Synthesizer Jan Bessai, Andrej Dudenhefner, Boris Du ̈dder, Moritz Martens, and Jakob Rehof Technical University of Dortmund, Department of Computer Science Abstract. We present Combinatory Logic Synthesizer (CL)S, a type- based tool to automatically compose larger systems from repositories of components. We overview its underlying theory, combinatory logic with intersection types, and exemplify
Learning Outcomes School of Computing and Information Systems comp10002 Foundations of Algorithms Semester 2, 2019 Assignment 1 In this project you will demonstrate your understanding of arrays, strings, and functions. You may also use typedefs and structs if you wish (see Chapter 8) – and will probably find the program easier to assemble if you
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Assignment: SDLC for human activity recognition project COMP255 Human activity recognition @MQ S2, 2019 (updated on 11th Aug 2019) This project aims to develop a human activity recognition IoT application to evaluate students’ knowledge in SDLC. This is an individual assignment. The project tasks shall be carried out individually. Commences: Week 3. Assignment due: 5pm,