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FIT9132 Introduction Databases - Assignment 2 - Creating, Populating and Manipulating Databases - Paris Arrow Transit (PAT)
FIT9132Introduction DatabasesParis Arrow TransitSQLMongoDBNOSQL
Your task for this assignment is to design a model for Paris Arrow Transit (PAT). Paris Arrow Transit is a private company subcontracted by the Olympic Federation to transport officials during the Olympic competition. The company realises that it needs a completely new computerised system to more efficiently manage and record its services during the Games. You have been asked to develop a database system that can meet PAT's needs, which are detailed below.
MXB261 Modelling and Simulation Science - Assignment 2 - A Simulation Project - Modelling an Epidemic
MXB261Modelling and Simulation ScienceModelling an EpidemicLatin Hypercube SamplingMarkov ProcessMonte Carlo
The theme of this project is the effect of parameter values on the behaviour of a viral epidemic a mathematical model, in both a temporal and spatial setting.
CSC3100 Data Structures Fall 2024 Programming - Assignment 2: Queue and Time Complexity
CSC3100Data StructuresQueueTime ComplexityJavaC++
Given an n-length list, the value ai in the list satisfies that ai ∈ {1, ..., n} and i = 1, ..., n. Then, numbering each element ai in the list as bi, bi = i. Please find the minimum number of elements that should be deleted so that the list of remaining elements has the same elements as the list of their corresponding numbers.
ECE4122/ECE6122 Advanced Programming Techniques for Engineering Applications - Lab 3: OpenGL with OBJ files and Multiple Objects
ECE4122ECE6122Advanced Programming Techniques for Engineering ApplicationsOpenGL3D graphicsC++
To create a dynamic 3D graphics application using lighting, shading, model transformations, and keyboard inputs.
COP3502 Programming Fundamentals I - P2: RLE with Images Python
COP3502Programming Fundamentals IPythonRun-Length Encoding
In this project students will develop routines to encode and decode data for images using run-length encoding (RLE). Students will implement encoding and decoding of raw data, conversion between data and strings, and display of information by creating procedures that can be called from within their programs and externally. This project will give students practice with loops, strings, Python lists, methods, and type-casting.
PITT CS445 Algorithms and Data Structures I Project 2: LinkedDS
CS445CS0445Algorithms and Data Structures ILinkedDSJava
This project is designed to increase your experience with linked data structures. Similar to Project 1, you will work with control structures, class-building, interfaces, and generics to create a new linked data structure called a LinkedDS<T>. The LinkedDS<T> will implement the SequenceInterface<T>, so before doing anything else, take a look at the method comments in SequenceInterface.java.
CS460 Introduction to Database Systems - Problem Set 2 - Converting the Oscar table to XML
CS460Introduction to Database SystemsDatabaseXMLJava
In this problem, you will write a series of methods that can be used to create an XML version of the Oscar table from Problem Set 1. Your methods will be part of a larger program that uses the JDBC framework to connect to the SQLite database that you used in PS 1 and to execute the SQL queries needed to extract the necessary data.
COM661 Full Stack Strategies and Development - Assignment 1: Backend
COM661Full Stack Strategies and DevelopmentPythonFlaskMongoDBBiz Directory
Over the course of the module, we construct the Biz Directory - a sample full stack application built around a database containing information on a range of businesses and a collection of user- contributed reviews. This assignment tests your understanding of this material by having you build the back-end of your own full stack application, based around a dataset of your choice
DTS201TC Pattern Recognition - Coursework - Covid-19 CT Image Data Classification Using Principal Component Analysis
DTS201TCPattern RecognitionPCAKNNNaive Bayes ClassifierMulti-layer Perceptron
This coursework is the assessment for DTS201TC and aims to evaluate understanding of pattern representation, feature discovery and selection, foundations of pattern recognition algorithms and machines including statistical, structural and neural methods.
EF4323 Trading Room Workshop - Algorithmic Trading Project
EF4323Trading Room WorkshopAlgorithmic TradingVBAPythonETF
In this project, we simulate the algorithmic trading business model, where a small group of proprietary traders tries to attract outside institutional investment by marketing their trading strategies and performance.
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