Pinned Repositories
A-Simple-Auction
A smart contract in Solidity that handles an auction process.
Coursera-Machine-Learning-Stanford
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications. Course link: https://www.coursera.org/learn/machine-learning
Detect-shapes-in-an-image
A Matlab project that detects shapes (circle, triangle, square, rectangle) in an image
enzom-task
Google-CodeU-2018-Group9
Peinto
An object oriented model in Java designed using MVC AP and different design patterns (singleton, strategy, factory, memento and command). It saves and loads drawings using XML and JSON, and supports various geometric shapes with multiple operations as: draw, color, move, copy, undo, redo.
Process-Page-Replacement-Algorithms
Implementing several page replacement algorithms used in memory management [Optimal, First In First Out (FIFO), Least Recently Used (LRU), Clock].
Semaphores
Mutual Exclusion and Synchronization
Sic-Xe
Simulated a 2 phase assembler in C++ for the SIC/XE instruction set that converts SIC assembly code to machine code.
Unix-Shell
A Unix shell program that allows to run other programs and supports the command exit, commands with no arguments, commands with arguments, commands with or without arguments executed in the background using &.
MayssaraOmar's Repositories
MayssaraOmar/Process-Page-Replacement-Algorithms
Implementing several page replacement algorithms used in memory management [Optimal, First In First Out (FIFO), Least Recently Used (LRU), Clock].
MayssaraOmar/A-Simple-Auction
A smart contract in Solidity that handles an auction process.
MayssaraOmar/Coursera-Machine-Learning-Stanford
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications. Course link: https://www.coursera.org/learn/machine-learning
MayssaraOmar/Detect-shapes-in-an-image
A Matlab project that detects shapes (circle, triangle, square, rectangle) in an image
MayssaraOmar/enzom-task
MayssaraOmar/Google-CodeU-2018-Group9
MayssaraOmar/Peinto
An object oriented model in Java designed using MVC AP and different design patterns (singleton, strategy, factory, memento and command). It saves and loads drawings using XML and JSON, and supports various geometric shapes with multiple operations as: draw, color, move, copy, undo, redo.
MayssaraOmar/Semaphores
Mutual Exclusion and Synchronization
MayssaraOmar/Sic-Xe
Simulated a 2 phase assembler in C++ for the SIC/XE instruction set that converts SIC assembly code to machine code.
MayssaraOmar/Unix-Shell
A Unix shell program that allows to run other programs and supports the command exit, commands with no arguments, commands with arguments, commands with or without arguments executed in the background using &.
MayssaraOmar/Huffman-Compression-And-Decompression
MayssaraOmar/Labirinto-Corridore
2.5D game implemented in Java using OOP concepts, MVC AP and various design patterns (observer, state, etc...). It is developed using isometric images and animated sprites and has a save and load feature.
MayssaraOmar/Multi-Threaded-Matrix-Multiplication
MayssaraOmar/Multi-Threaded-Merge-Sort
MayssaraOmar/Root-Finding-Program
Root finding methods included: Bisection, False-Position, Fixed-Point, Newton Raphson and Secant
MayssaraOmar/Ruby_on_rails_exercise
Ruby on Rails 5 Essential Training
MayssaraOmar/Solving-System-of-Linear-Equations
Methods included: Gauss Elimination, Gauss Jordan, Gauss Seidel and LU Decomposition.