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CS1026A Computer Science Fundamentals I - Assignment 3: YouTube Emotions

CS1026AComputer Science Fundamentals IPythonYouTube Emotions

Our goal in this assignment is to use a simplified version of the NRC Emotion Lexicon to classify YouTube comments based on one of the following emotions anger, joy, fear, trust, sadness, or anticipation. Based on the emotion contained in each comment for a particular video we then want to generate a report that details the most common emotions YouTube users have towards that video based on their comments.

ITD103 IT Systems Design - Assessment Task 3 - Design Challenge 2

ITD103IT Systems DesignUMLRequirements DeterminationFMCUse Case Diagram

This is a case-based assessment. Most of the tasks need to be completed based on the IT cases that have been provided in this document. We also have provided templates for your answers (available on Canvas). This assessment focuses on the analysis and design of the structure of an information system.

CS1315 Computer Programming Assignment One - Cheapest Payment

CS1315Computer ProgrammingC++

Your task is to find out the cheapest payment amount given the corresponding prices, discount settings and headcounts. The numbers are always in the valid range stated in page 1 (no checking is needed) but the numbers are not necessarily realistic

FIT5145: Foundations of Data Science Assignment 4: Shell Commands, Data Collection, Exploratory Data Analysis and Predictive Data Analysis

FIT5145Foundations of Data ScienceRData Analysis

In this task, you are required to explore and wrangle the data in the file “covid19-cable-broadcast.csv”, which contains transcript paragraphs that were collected from various programs aired in 2020 on cable and broadcast news networks, e.g., World News Tonight on ABC and Anderson Cooper 360 Degrees on CNN.

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.

INFO1112 Computing 1B OS and Network Platforms - A1 - Just a friendly reminder

INFO1112Computing 1B OS and Network PlatformsPythonComputer NetworksOperating System

In this assignment, you'll be creating a basic application called "Jafr" (short for "Just a friendly reminder"). This application helps multiple users manage their tasks and meetings on a Unix-like OS

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.

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.

COMS10016: Imperative and Functional Programming - Coursework 01: LIST CHALLENGE

COMS10016Imperative and Functional ProgrammingLIST CHALLENGEDoubly-linked ListsC

Before you start on this task make sure you watched and understood all lectures up to Lecture 15. You should have compiled, run, and understood all the code provided for pointers, dynamic data, stacks, and lists.

Assignment: Denoising Diffusion on Two-Pixel Images

Variational AutoencodersGenerative Adversarial NetworksDenoising DiffusionBeta SchedulingVariance EstimationDDPM

The field of image synthesis has evolved significantly in recent years. From auto-regressive models and Variational Autoencoders (VAEs) to Generative Adversarial Networks (GANs), we have now entered a new era of diffusion models. A key advantage of diffusion models over other generative approaches is their ability to avoid mode collapse, allowing them to produce a diverse range of images.

COMP4161 T3/2024 Advanced Topics in Software Verification - Assignment 2: Block Representation of Binary Numbers

COMP4161Advanced Topics in Software VerificationIsabelle

In this assignment, we consider one representation of binary numbers where the bits in a number is segmented into alternating sequences (or blocks) of 1s or 0s. For instance, ”1110011” consists of ”three 1s, two 0s, and two 1s”.

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.

FIT9132 Introduction Databases - Assignment 2 - Creating, Populating and Manipulating Databases - Paris Arrow Transit (PAT)

FIT9132Introduction DatabasesParis Arrow TransitSQLMongoDB

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.

INFO1112 Computing 1B OS and Network Platforms - Assignment 2 - Tic-Tac-Toe

INFO1112Computing 1B OS and Network PlatformsTic-Tac-ToeSocket ProgrammingCC++

Tic-Tac-Toe, also known as Noughts and Crosses, is a simple yet engaging two-player game played on a 3x3 board. The game is typically played by marking the board spaces with ‘X’ and ‘O’, with players taking turns. The objective of the game is to be the first to align three of your marks—either horizontally, vertically, or diagonally. More about it on Wikipedia.

CPT205 Computer Graphics (2024-25) Assessment 1 - 2D Modelling Project - Birthday Card

CPT205Computer Graphics2D ModellingC++OpenGL

You are required to create a two-dimensional (2D) Birthday Card. Your card may contain balloons, flowers, trees, smiling faces, lights, stars, clouds, sky, ground, buildings and other objects that may appear in a physical card of this kind

CISC422/CMPE422: Formal Methods in Software Engineering (Fall 2024) - Assignment 2: Class Modelling with Alloy

CISC422CMPE422Formal Methods in Software EngineeringClass Modelling with AlloyJavaPython

This assignment uses Alloy, an analysis tool for class models developed by the Software Design Group at MIT. Alloy is publicly available for Windows, Linux and Mac OS and there is extensive documentation for it, including a book, a collection of sample models, and the Stack

CMPSC461 Fall-2024 Programming Language Concepts - Assignment-4 (Function and Parameter Passing)

CMPSC461Programming Language ConceptsFunction and Parameter PassingPythonJava

For each of the cases below, write down the values of x, y, and z after the following calls to foo(). If necessary, assume that output arguments are copied back to parameters in the left-to-right order.

EE658 Diagnosis and Design of Reliable Digital Systems - Fault Simulation Group Project Phase #2 - DFS and FPS

EE658Diagnosis and Design of Reliable Digital SystemsFault Simulationdeductive fault simulationparallel fault simulation

The second phase of the group project focuses on the implementation of two different fault simulation methods: deductive fault simulation (DFS) and parallel fault simulation (PFS), applying techniques to reduce the fault list in a netlist, and also a few modifications to your previously developed logic simulator.

CS460 Introduction to Database Systems - Problem Set 3 - Implement portions of a simple relational database management system

CS460Introduction to Database SystemsDBMSSQLJavaMarshall

In this assignment, you will implement portions of a simple relational database management system that supports a subset of the SQL language

CS 321: Programming Languages - Homework 2: Functions, Errors, Conditionals, Predicate and Multiplication

CS321COMPSCI321Programming LanguagesRacketFunctionsConditionals

Start with the f1WAE interpreter for deferred substitution, and extend the implementation to support any number of arguments to a function (including zero), and any number of arguments (including zero) in a function application:

Concurrent Programming Coursework 2024 - Prefix Scan Algorithm in C/MPI

CPrefix ScanMPI

You are required to implement the parallel prefix scan algorithm in c/mpi

DPST1091/CPTG1391 Programming Fundamentals! - Assignment 2 - CS Pet Salon

DPST1091CPTG1391Programming FundamentalsCS Pet Salon

Your task is to implement a pet salon manager involving several salons which have rooms for different types of pets. A pet salon is where pets get cared for and pampered. You will track the details of the pets being looked after in each salon!

CS544 Intro to Big Data Systems - P4: HDFS Partitioning and Replication

CS544Intro to Big Data SystemsHDFS Partitioning and ReplicationPython

In this project, you'll deploy a small HDFS cluster and upload a large file to it, with different replication settings. You'll write Python code to read the file. When data is partially lost (due to a node failing), your code will recover as much data as possible from the damaged file.

CSSE2310/CSSE7231 Computer Systems Principles and Programming - Assignment 4: Chess Server

CSSE2310CSSE7231Computer Systems Principles and ProgrammingCMultithreaded programming

The goal of this assignment is to further develop your C programming skills, and to demonstrate your under- 2 standing of networking and multithreaded programming. You are to create a server program (uqchessserver) 3 that supports multiple simultaneously connected clients playing chess against another client or against a chess 4 engine (Stockfish).

ECE 4122/6122 Advanced Programming Techniques - Lab 1: Retro Centipede Arcade Game

ECE4122ECE6122Advanced Programming TechniquesRetro Centipede Arcade GameC++

Create a simple version of the classic arcade game called Centipede. An online version of the game can be found at (https://www.mysteinbach.ca/game- zone/2153/atari-centipede/). The goal of the assignment is to try to reproduce the game play present on the listed web site

CS537 Introduction to Operating Systems - Project 4: Dynamic Stride Scheduler with Dynamic Ticket Modification

CS537Introduction to Operating SystemsLetter BoxedCDynamic Stride Schedulerxv6

In this project, you will implement a dynamic stride scheduler in xv6, incorporating dynamic ticket modification based on process behavior. The stride scheduler ensures that processes receive CPU time proportional to their assigned tickets, providing deterministic scheduling behavior. By dynamically adjusting tickets, the scheduler can adapt to changing process workloads, priorities, or resource usage.

COMP1511 Programming Fundamentals - Assignment 2 - CS Dungeon!

COMP1511Programming FundamentalsCOMP1911CS DungeonC

Your task in assignment 2 is to create a dungeon crawler game, where you will get to design a map of connected dungeons filled with monsters, items, and a final boss at the end to defeat! You will get to play as either a Fighter or a Wizard, using your special skills and stats to defeat these monsters and beat the game!

EECS 183: Elementary Programming Concepts - Project 4: CoolPics

EECS183Elementary Programming ConceptsCoolPicsC++

In this project, you will create a program that reads in a description of shapes, draws those shapes, and saves the result to a file. You will represent the different shapes using classes. Here are some examples of images created by students in past semesters:

EECS 183: Elementary Programming Concepts - Final Project: Elevators

EECS183Elementary Programming ConceptsElevatorsC++

Elevators is a project that dabbles in Game Design, Artificial Intelligence, and designing real-world systems. Using C++, you will complete an implementation for a game in which the player operates 3 elevators in a busy building, making decisions and servicing requests to keep the people inside the building as happy as possible.

CSCI-1200 Data Structures - Fall 2024 Homework 6 - Recursive Kurotto Solver

CSCI1200Data StructuresC++

In this homework we will develop a solver for a paper-and-pencil puzzle game named Kurotto. The input to Kurotto is a 2D rectangular grid where all the cells are initially water. Some of the cells in the grid are labeled with a non-negative integer.

CPS 112: Computational Thinking with Algorithms and Data Structures Homework 3 - Fly Away Home

Computational Thinking with Algorithms and Data StructuresFly Away HomeJavaColumbia

For this assignment you will develop a simple game called “Fly Away Home.” The basic idea behind the game is to safely move Mosca around a grid to the home square before he gets eaten. The user will control the movements of the fly using arrow keys, and the frogs will move on their own. I have provided you with most of the GUI implementation. In the rest of this description are the pieces you need to implement.

ELEC576/COMP 576: Introduction to Deep Learning Assignment 1 - Backpropagation

ELEC576COMP576Introduction to Deep LearningPythonBackpropagationNeural Network

In this problem, you will learn how to implement the backpropagation algorithm for a simple neural network. To make your job easier, we provide you with starter code in three layer neural network.py. You will fill in this starter code to build a 3-layer neural network (see Fig. 1) and train it using backpropagation.

CSC4005 Parallel Programming - Project 4 Parallel Programming with Machine Learning

CSC4005Parallel ProgrammingParallel Programming with Machine Learning

In this project, you will have the opportunity to gain insight and practice in using OpenACC to accelerate machine learning algorithms. Specifically, you will be accelerating softmax regression and neural networks (NNs).

31927 Applications Development with .NET - Assignment 2 - GUI

31927Applications Development with .NET32998.NET Applications DevelopmentC#LINQ

This assessment requires you to develop an application with the necessary graphical user interface - GUI (e.g., Windows Form) and underlying functionality based on your proposed topic. This is a group assignment, and each group should ideally consist of a minimum of two and a maximum of three students.

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.

CS439 Introduction to Data Science - Homework 1: MapReduce, Association Rules, Locality-Sensitive Hashing

CS439Introduction to Data ScienceMapReduceAssociation RulesLocality-Sensitive HashingJava

Write a MapReduce program in Hadoop that implements a simple “People You Might Know” social network friendship recommendation algorithm. The key idea is that if two people have a lot of mutual friends, then the system should recommend that they connect with each other.

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.

TCS3294 Windows Programming - Assignment: Gym Management System

TCS3294Windows ProgrammingC#SQLGym Management System

The aim of the assignment is to expose students to analyse a variety of problem solutions in terms of the design concepts and programming constructs. This assignment will allow the students to produce appropriate system development documentation with complete program using C#.NET Framework programming language and SQL Server. The students should be able to apply their knowledge and skills, creativity, and critical thinking in completing the assignment.

CS 245 Advanced Programming and Data Structures - Assignment 2 - Mouse Simulation

CS245Advanced Programming and Data StructuresJavaMouse Simulation

This assignment will have you practice developing an OOP as a Java solution and have safe trip . You are to write classes that define a Mouse, Mouse.java, and a Cat, Cat.java

COMP3702 Artificial Intelligence - Assignment 3: Reinforcement Learning

COMP3702Artificial IntelligenceReinforcement LearningPythonPytorchDeep Q-Network (DQN)

In this assignment, you will implement Deep Reinforcement Learning algorithms and analyse their parameters and performance. This assignment will test your skills in training and understanding reinforcement learning algorithms for practical problems and understanding of key algorithm features and parameters.

JC4003: Natural Language Processing - Group Assessment: Understanding and Generating Explanations from the RuozhiBa Dataset

JC4003Natural Language ProcessingRuozhiBaData Annotation

In this group assessment, you will explore and experiment with traditional machine learning and deep learning models, including large language models (LLMs), to generate accurate meanings and explanations for the samples provided in the RuozhiBa dataset. The purpose of this exercise is to apply your knowledge from the course to a real-world dataset, practicing your skills in data annotation, model design, and evaluation.

CMU 95-702 Distributed Systems for ISM - Project 2 Client-Server Computing

95702Distributed Systems for ISMJavaClient-Server ComputingTCPRPC

In Task 0, you will make several modifications to EchoServerUDP.java and EchoClientUDP.java. Note that these two programs are standard Java and we do not need to construct a web application in IntelliJ. Both of these programs will be placed in the same IntelliJ project.

CMU 95-702 Distributed Systems - Project 1: Compute Hash

95702Distributed SystemsJavaServletsJSP

In this assignment, you'll build several web apps to gain more experience. You build your first set of distributed systems. These are two small web applications using Servlets and Java Server Pages.

Database Principles 31061 - Assignment 5: Database Project

Database Principles3106132606DatabaseSQLPostgreSQL

Your choice of database should demonstrate some initiative, and be something that is largely your own idea. It must not resemble closely any database you found in the textbook, or any other book, and it must not resemble closely any database built by a student in a previous semester.

CMU 95-702 Distributed Systems For Information Systems Management - Project 3 Blockchain and Signatures

95702Distributed Systems For Information Systems ManagementDistributed SystemsJavaBlockchain

In this project, we will illustrate an important nonfunctional characteristic of blockchain technology - its tamper evident design. We will build a stand-alone blockchain in Task 0 and a distributed system where a remote client interacts with a blockchain API in Task 1. In Task 2, we will work with digital signatures.

CS 520 Introduction to Operating Systems - Homework 3: Bus Simulation

CS520Introduction to Operating SystemsBus SimulationJava

Write the bus simulation, as explained in the class and described in the notes. Feel free to look on the web for and then re-use any suitable code for the random number generator or for linked list algorithms. With that, 1) don’t forget to include a reference to the source of any code you re-use and 3) remember to test all re-used code as you are the only one responsible for its performance..

FIT3003 Business intelligence and data warehousing - Assignment 2: M-Stay Residential Service

FIT3003Business intelligence and data warehousingM-Stay Residential Service

M-Stay is a residential service that offers homestay and rental services to Monash students and staff around Melbourne. The company has an existing operational database that maintains and stores all of the business transactions information (e.g. properties, hosts, listings, booking, etc.) required for the management's daily operation. As the business grows, M-Stay has decided to build a Data Warehouse to improve their analysis and work efficiency. However, since the staff at M-Stay have limited Business Intelligence and Data

COMP10002 Foundations of Algorithms - Assignment 2: Dynamic memory and Cellular Automaton

COMP10002Foundations of AlgorithmsCDynamic memoryCellular Automaton

In this project, you will demonstrate your understanding of dynamic memory and linked data structures (Chapter 10) and extend your program design, testing, and debugging skills. You will learn about cellular automata, implement a tool for performing cellular automata computations, and use this tool to solve a practical problem.

COMP1521 Computer Systems Fundamentals - Assignment 1: Nonograms in MIPS

COMP1521Computer Systems FundamentalsNonograms in MIPSMIPSC

nonograms.c is an implementation of a program to play nonograms (also known as Picross). A nonogram puzzle takes place on a 2D grid, where the player must mark a set of cells, according to number clues placed on the edge of the puzzle.

CS-350 - Fundamentals of Computing Systems Homework Assignment #4 - BUILD

CS350Fundamentals of Computing SystemsCpthreads

To improve throughput and utilize system resources more efficiently, you’ll now modify your server to process requests using multiple worker threads. The new server will still allow to specify a maximum queue size to limit its maximum workload.

COMP1511 Programming Fundamentals - Assignment 1: Moonlander

COMP1511Programming FundamentalsCMoonlander

Moonlander is a small game where the player enters commands to move an astronaut around the moon to collect moon cheese, without running out of oxygen. The aim of the game is to collect some target amount of cheese and make it back to the lander to export the moon cheese back to Earth! Movement has an oxygen cost and to collect the cheese we may have to navigate around rocks and avoid running out of oxygen completely (a player can drop off cheese and refill their oxygen tank at the lander

CS544 Intro to Big Data Systems - P3: Large, Thread-Safe Tables

CS544Intro to Big Data SystemsgRPCPython

In this project, you'll build a server that handles the uploading of CSV files, storing their contents, and performing operations on the data. You should think of each CSV upload as containing a portion of a larger table that grows with each upload.

COMP338 Computer Vision - Assignment 1- Canny Edge Detection, Feature Extraction

COMP338Computer VisionPythonCanny Edge Detection Feature Extraction

OpenCV provides a function canny() to get the edge detection result with an image (you can use any grey image). Please do the following: (25 marks) Reimplement the canny operation without using the built-in canny() function (with some explanations of the code). (10 marks) Test and visualize your implementation results. (with different filters, different thresholds and others) (15 marks) Discuss the difference between your implementation, your results compared with the OpenCV implementation. (Compare the numerical results and the running time and others.)

CS 660 Graduate Introduction to Database Systems - Programming Assignment 2 - B+ Tree

CS660B+ TreeC

In this assignment, we will implement a file with a tree index. The file will store tuples in sorted order and the index will allow us to quickly find tuples based on an integer key.

DPST1091/CPTG1391 Programming Fundamentals - Assignment 1: Sokoban

DPST1091CPTG1391Programming FundamentalsSokobanC

Sokoban is a simple Japanese puzzle game from the 80's, although the rules are simple, levels can be deceptively hard. The main idea of Sokoban is a small grid board, containing walls, boxes, storage locations and a single player. The player moves around the board pushing boxes around until they manage to get all boxes stored in one of the storage locations! Feel free to check out the wikipedia entry for Sokoban too. For this assignment, you will be building both a level generator for the game, as well as the mechanics to play your created levels!

CS 188 Introduction to Artificial Intelligence - Project 3: Reinforcement Learning

CS188Introduction to Artificial IntelligenceReinforcement LearningPythonValue IterationQ-Learning

In this project, you will implement value iteration and Q-learning. You will test your agents first on Gridworld (from class), then apply them to a simulated robot controller (Crawler) and Pacman.

EECS 183 Elementary Programming Concepts - Project 3: Ciphers

EECS183Elementary Programming ConceptsCiphersC++Encryption AlgorithmCryptography

In this project, you will move on to cryptography and you’ll be asked to encrypt and decrypt messages using three different encryption algorithms. The S’more part of this project will challenge you to “crack” others’ secret messages in ciphertext and convert them back to plaintext.

CITS3402 High Performance Computing - Assignment - Sparse matrix-matrix multiplication using MPI and OpenMP

CITS3402High Performance ComputingMPISparse matrix-matrix multiplicationOpenMPC

Your task is to implement the matrix-matrix multiplication algorithm using MPI and OpenMP taking two sparse matrices in the matrix market representation as the input.

CSEE4119 F24 Computer Networks Project 1: Video CDN

CSEE4119Computer NetworksVideo CDNCSocket ProgrammingContent Delivery Network

In this project, you will explore aspects of how streaming video works, as well as socket programming and HTTP. In particular, you will implement adaptive bitrate selection. The programming languages and packages are specified in the development environment section.

COMP3411/9814 24T3 Artificial Intelligence - Assignment 1: Artificial neural networks

COMP3411COMP9814Artificial IntelligenceArtificial neural networksPython

In this assignment, you will use artificial neural networks for drought modelling in the Murray-Darling Basin. You will conduct two tasks: (a) A classification task to predict whether there is ‘a drought’ or ‘no drought’ based on the climate conditions. (b) A regression task to predict the intensity of a drought based on the climate conditions.

CSC 485H/2501H: Computational linguistics, Fall 2024 - Assignment 2: The Lesk algorithm & word2vec, BERT and Transformer

CSC485Computational linguisticsThe Lesk algorithmword2vecPythonBERT

Recall the problem of word sense disambiguation (WSD): given a semantically ambiguous word in context, determine the correct sense. A simple but surprisingly hard-to-beat baseline method for WSD is Most Frequent Sense (MFS): just select the most frequent sense for each ambiguous word, where sense frequencies are provided by some corpus

FIT2014 Theory of Computation - Assignment 2- Regular Languages, Context-Free Languages, Lexical analysis, Parsing, Turing machines and Quantum Computation

FIT2014Theory of ComputationRegular LanguagesContext-Free LanguagesLexical analysisParsing

In these exercises, you will: implement a lexical analyser using lex (Problem 3); implement parsers using lex and yacc (Problems 1–6); program a Turing machine (Problem 7);

INFO1113 COMP9003 Object-Oriented Programming - Assignment: Ink Ball

INFO1113COMP9003Object-Oriented ProgrammingOOP

In this assignment, you will create a game in the Java programming language using the Processing library for graphics and gradle as a dependency manager. In the game, balls spawn and move around the screen and the player can draw lines to direct them into holes of the same colour. When balls are reflected off a player-drawn line it disappears. If a ball enters a hole of a wrong colour, score is lost and it respawns. Once all balls are captured by holes, the player wins.

COMP517 Data Analysis - Lab 9: Introduction to One-way ANOVA and Simple Linear Regression

COMP517Data AnalysisOne-way ANOVALinear RegressionPython

In this lab, we introduce the fundamental concepts of hypothesis testing using one-way analysis of variance (ANOVA) and simple linear regression models. We will use ANOVA statistical techniques to analyze exam scores across various streams of students.

BFF5555 Financial machine learning - Project: Predict positive market movements

BFF5555Financial machine learningPredict positive market movementsBinary ClassificationHyperparameter TuningCross Validation

You are required to develop a machine learning model to predict positive market movements (uptrend). This prediction task will be treated as a binary classification problem, where the target variable is binary [0, 1].

COMP3095 Web Application Development Using Java - Assignment 1: Room Booking and Event Management System

COMP3095Web Application Development Using JavaJavaRoom Booking and Event Management SystemPostgreSQLMongoDB

The goal of this assignment is to design and implement a microservices-based room booking and event management platform for George Brown College. Your platform should allow students, staff, and faculty to book room resources for events and meetings. The focus will be on microservices creation, database integration using JPA, inter-service communication, containerization with Docker, and integration testing.

CSC148 Introduction to Computer Science - Assignment 2: A Treemap Visualiser

CSC148Introduction to Computer ScienceA Treemap VisualiserPython

For this assignment, you will write an interactive treemap visualisation tool that you can use to visualise hierarchical data. It will have a general API (imple- mented with inheritance, naturally!) and you will define specific subclasses that will allow you to visualise two different kinds of data: the files and folders in your computer, and a categorization of Computer Science Education research papers.

CY 5010 Cybersecurity Principles and Practices - Lab 2: Cryptosystem Implementation

CY5010Cybersecurity Principles and PracticesCryptosystem ImplementationBash

In this lab assignment, you will implement a cryptographic scheme intended to provide the most important protections for preserving chain of custody of a digital evidence. Your scheme must provide integrity and non-repudiation among the custodians involved, and also the communication with a central ledger, which implements a hash chain of the custodian signatures preventing the modification of the records.

FIT2004 Algorithms and data structures - Assignment 2: A Fun Weekend Away and Customised Spell Checker

FIT2004Algorithms and data structuresPythonA Fun Weekend AwayCustomised Spell Checker

Given all the hard work during the semester, you and your friends decided that you should better get a weekend off after Week 12 before starting preparing for your final exams. Your plan is to do some fun activity (e.g., surfing, hiking, kayaking, mountain biking, etc.) during this weekend getaway

CSC 485H/2501H: Computational linguistics, Fall 2024 - Assignment 1: Transition-based dependency parsing and Graph-based dependency parsing

CSC485Computational linguisticsTransition-based dependency parsingPythonGraph-based dependency parsing

Dependency grammars posit relationships between “head” words and their modifiers. These rela- tionships constitute trees where each word depends on exactly one parent: either another word or, for the head of the sentence, a dummy symbol, “ROOT”. The first part of this assignment concerns a parser that builds a parse incrementally

Computer Science 320SC Applied Algorithmics - Programming Assignment 5: Finding partner and Killing enemies.

COMPSCI 320COMP320Applied AlgorithmicsMeet your partner at skyscraperDynamic ProgrammingPython

This 5th assignment lets you get familiar with dynamic programming design and development. It is worth 5% of your total course marks. We would like you to implement efficient dynamic programming algorithms for two tasks: Task 1: Finding partner and Task 2: Killing enemies.

ECE 4016 Computer Networks - Assignment 1: Local DNS Server

ECE4016Computer NetworksLocal DNS ServerPython

In this assignment, you are required to implement a simple Local DNS Server

CS112 Lab 09: Neural Networks

CS112Introduction to CS IIMachine LearningJavaNeural Networks

Later this semester, you will create a working neural network in Java, using only your own code. In later classes, you will probably use neural network libraries developed by others to learn about many facets of Machine Learning. But in this class, you will learn that there is no magic in making a neural network— it is something you can build yourself...though the fact that neural networks perform so well does seem like magic.

COMP 348 Principles of Programming Languages - Assignment 1: The C Programming Language

COMP348Principles of Programming LanguagesThe C Programming LanguageCSpreadsheet

In this assignment, you will gain hands-on experience with the C programming language. While you are not required to be a C expert to complete the work, you will certainly have the opportunity to explore most of the things that we have discussed in class (and a few other things as well). In terms of your task, you will be creating a simple “spreadsheet” application that can be used to calculate and display final grades in COMP 348

COMP30026 Models of Computation - Assignment 2: Regular Languages, DFA Construction, Context-Free Languages, Closure Properties and Pumping Lemma

COMP30026Models of ComputationRegular LanguagesDFA ConstructionContext-Free LanguagesClosure Properties

To improve your understanding of formal languages, automata, and grammars; to develop your skills in analysis and formal reasoning about complex concepts, and to practise writing down formal arguments with clarity.

COMP3230 Principles of Operating Systems - Programming Assignment One: Implement a LLM Chatbot Interface

COMP3230Principles of Operating SystemsImplement a LLM Chatbot InterfaceLLMChatbotPython

The goals of this programming exercise are: To have hands-on practice in designing and developing a chatbot program, which involves the creation, management and coordination of processes.

CS152 L3D Learning from Limited Labeled Data - HW2: SSL to the Moon

CS152Learning from Limited Labeled DataSSL to the MoonPythonMachine Learningsupervised training

In this HW2, you'll implement a common method for each style of SSL, (self- and semi-), and then evaluate your implementation on a toy dataset. Problem 1: Establish a baseline for supervised training on labeled-set-only. Problem 2: Can we gain value from pseudo-labeling? Problem 3: Can we gain value from SimCLR?

CS152 L3D Learning from Limited Labeled Data - HW1: Transfer Learning for the Birds

CS152Learning from Limited Labeled DataTransfer Learning for the BirdsPythonMachine Learning

In this HW1, you'll apply Transfer Learning to a real dataset, and wrestle with several questions: Problem 1: For a specific target classification task of interest, would we rather have a source model trained on a "generic" dataset like ImageNet1k, or a smaller dataset related to our target task? Problem 2: What are the tradeoffs between fine-tuning just the last layer (aka "linear probing") and fine-tuning a few more layers? Can we compose these to do better?

COMP5511 Artificial Intelligence Concepts - Assignment 1: TSP, GA, Dynamic Optimization and Multi-objective optimization

COMP5511Artificial Intelligence ConceptsTSPGADynamic optimization problemLarge-scale optimization problem

Traveling Salesman Problem (TSP) is a classical combinatorial problem that is deceptively simple. This problem is about a salesman who wants to visit n customers cyclically. In one tour, the salesman must visit each customer just once and should finish up where he started

5SD814 Programming with C/C++ 4: Computer Games in 2D - Assignment 2: COLLISION DETECTION

5SD814Programming with C/C++Computer GamesCOLLISION DETECTIONCC++

The Separating Axis Theorem (SAT) provides a powerful and efficient method for detecting collisions between convex polygons in 2D (and 3D). A convex polygon is a shape where all internal angles are less than or equal to 180 degrees, ensuring it "bulges outwards" rather than inward. SAT simplifies collision detection by focusing on finding one axis (a line) along which the two shapes do not overlap.

COMP2404AB (Fall 24) Introduction to Software Engineering - Assignment 1: Campground

COMP2404ABIntroduction to Software EngineeringC++CRUDCampgroundDatabase

In this assignment you will make a basic CRUD (create, read, update, delete) application. You will learn the basics of classes, arrays, and static memory in C++. You will make a few simple classes, populate the members using constructors and write functions to process the data. You will learn how to provide a working Makefile, and implement a small amount of application logic.

CS 0445 Algorithms and Data Structures I Project 1: ReallyLongInt

CS 0445Algorithms and Data Structures IReallyLongIntArrayDSJava

Design and implement a generic class (ArrayDS<T>) that will act as a data structure for accessing sequences of Java Objects. Your ArrayDS<T> class will primarily implement 2 interfaces – SequenceInterface<T> and ReorderInterface. The details of these interfaces are explained in the files SequenceInterface.java and ReorderInterface.java. Read these files over very carefully before implementing your ArrayDS<T> class.

INFS4203/7203 Data Mining - Project Phase II: Implementation

INFS4203INFS7203Data Mining

In Phase II, you will be provided with the test data named test_data.csv. The first row describes features’ names. Except the first row, each row in the data file corresponds to one data point. There are 817 test data points in this file, and each column represents the same feature as the training data DM_project_24.csv.

COMP5216 Mobile Computing - Lab 6: Media Access

COMP5216Mobile ComputingJavaAndroid

The Android multimedia framework includes support for playing variety of common media types, so that you can easily integrate audio, video and images into your applications. You can play audio or video from media files stored in your application's resources (raw resources), from standalone files in the file system, or from a data stream arriving over a network connection.

FIT2102 Programming Paradigms 2024 - Assignment 2: Markdown to HTML

FIT2102Programming ParadigmsMarkdown to HTMLJavascriptHaskell

- Students will create a parser for a subset of the Markdown specification using functional programming techniques in Haskell. - Demonstrate understanding of functional programming, including documentation of design decisions.

CS 174C Computer Animation - Assignment 1: Hermite Spline Modeling, Mass-Spring-Damper System and Simulate a Chain

CS174CComputer AnimationHermite Spline ModelingMass-Spring-Damper SystemSimulate a ChainJavascript

The code for this part should be written in `part_one_hermite.js` (you can implement the spline and helper classes in another file, but if you do so please specify this in your README document). All input/output behaviors should be implemented using the top input and output text boxes, and operations triggered by clicking buttons.

FIT2014 Theory of computation - Assignment 2: Implement a lexical analyser using lex

FIT2014Theory of computationLexYACCTuring machinePumping Lemmas

In these exercises, you will: - Implement a lexical analyser using `lex` (Problem 3). - Implement parsers using `lex` and `yacc` (Problems 1 - 6). - Program a Turing machine (Problem 7). - Learn about some aspects of quantum circuits and quantum registers by applying our methods to calculations with them (Problems 2 - 6). - Practise your skills relating to the Pumping Lemmas and Context-Free Languages (Problem 8).

COMP3702 Artificial Intelligence (Semester 2, 2024) Assignment 2: BeeBot MDP

COMP3702Artificial IntelligenceBeeBot MDPPython

You have been tasked with developing a planning algorithm for automatically controlling BeeBot, a Bee which operates in a hexagonal environment, and has the capability to push, pull and rotate honey ‘Widgets’ in order to reposition them to target honeycomb locations. To aid you in this task, we have provided support code for the BeeBot environment which you will interface with to develop your solution. To optimally solve a level, your AI agent must efficiently find a sequence of actions so that every Target cell is occupied by part of a Widget, while incurring the minimum possible action cost.

CS6601 Artificial Intelligence - Assignment 3: Bayes Nets

Artificial IntelligenceBayes NetsPythonProbabilistic ReasoningQuantifying UncertaintyMarkov Chain

In this assignment, you will work with probabilistic models known as Bayesian networks to efficiently calculate the answer to probability questions concerning discrete random variables.

SWD604 Program Design and Construction - Assignment 2: Admin Panel

SWD604Program Design and Construction

You have been hired as an intern at Ahera Taera and have completed the creation of a customer management system for Ahera Taera, a new retail outlet focusing on a varied range of customers from senior citizens to kids. Considering all the requirements were successfully completed by you, the manager and the team has hired you to develop the next project phase. You are entrusted to develop an admin panel for the already developed software.

CYBR3000 Information Security - Assignment 1: Intrusion Prevention and Intrusion Detection

CYBR3000Information SecurityIntrusion PreventionIntrusion DetectionPythonICMP

You are required to write iptables rule sets for each of the following tasks. Each rule set for each of the tasks needs to be written in a separate .txt file. Each line in the .txt file refers to one single iptables rule. The name of the .txt file must match the name of the corresponding task (e.g. task1.txt). No marks will be given if the name of the .txt file is incorrect or mislabelled. The rules in each .txt file are supposed to be ready to use, which means others could copy-paste and run each rule of the rule set in the terminal to meet the requirements of the task.

EECS 492 Introduction to Artificial Intelligence: Designing Agents, Search Tree, Brick Sorting Machine, Heuristics and Hill Climbing

EECS492Introduction to Artificial IntelligenceDesigning AgentsSearch TreeBrick Sorting MachineHeuristics

Tic - tac - toe is a game for two players who take turns marking the spaces in a three - by - three grid with X or O. The game’s objective is to be the first in placing three of their markers in a horizontal, vertical, or diagonal row (see Figure 1). **Figure 1**: A game of Tic - Tac - Toe where the O player has won, as it has three markers in a diagonal row. You are now tasked with developing an AI algorithm for a tic - tac - toe agent. The agent is a robot that can play against another agent (human or robot) on a piece of paper using a pen.

DPST1092 Computer Systems Fundamentals - Assignment 1: Breakout in MIPS

DPST1092Computer Systems FundamentalsBreakout in MIPSMIPS

breakout.c is an implementation of a version of Breakout, a popular and influential video game. An example game of Breakout can be seen to the right. A game of Breakout takes place on a 2D grid, where the player must move a paddle to bounce a ball (*) into a group of bricks (digits). You can move the paddle left (a and A) and right (d and D). Hitting bricks with the ball will destory the bricks, and reward the player with score points. Every 10 bricks destroyed will spawn a new ball, with up to 3 balls on the screen at any given time.

CS537 Introduction to Operating Systems - Project 3: Build a Unix Shell - wsh

CS537Introduction to Operating SystemsBuild a Unix ShellwshCC++

In this project, you’ll build a simple Unix shell. The shell is the heart of the command-line interface, and thus is central to the Unix/C programming environment. Mastering use of the shell is necessary to become proficient in this world; knowing how the shell itself is built is the focus of this project.

CS537 Introduction to Operating Systems - Project 2: xv6 System Call

CS537Introduction to Operating Systemsxv6 System CallCC++

In this assignment, you will create a system call in xv6 which returns the name of the parent process of the current process.

CS537 Introduction to Operating Systems - Project 1: Letter Boxed

CS537Introduction to Operating SystemsLetter BoxedCC++

In this assignment, you will write a program which checks solutions to the word game Letter Boxed. The rules of letter boxed are simple. Given a letter boxed board, you must use each letter in the board at least once to form words found in the dictionary. You can start on any letter, but the first character of each subsequent word must be the same as the last character of the previous word

COMP5216 Mobile Computing - Assignment 2: Develop a media recording app

COMP5216Mobile ComputingDevelop a media recording appAndroidJava

Camera and Location are two of the most frequently used sensors on an Android device. In this assignment, you are required to write an app that enables the user to take a video or photo and then upload it to Google’s Firebase cloud server for backup