Mile Stosic's repositories
CMPE-332-Database-Management-Systems
Data models: relational, entity-relationship. Relational query languages: relational algebra and SQL. Relational database design. Application interfaces and embedded SQL. Storage and indexing.
CMPE-365-Algorithims
This repository includes projects that implemented three different types of algorithms , a divide and conquer algorithm was used to solve a Convex Hull problem (A1), a greedy algorithm was implemented to create triangle strips out of a triangle mesh (A2), and dynamic programming was used for the minimum area triangulation between two contours (A3.)
ELEC-279-Object-Oriented-Programming
This repository includes Labs that implement object-oriented design, architecture, programming, fundamental concepts of object-oriented programming (OOP) such as encapsulation, abstraction, classes and objects, inheritance, and polymorphic programming.
ELEC-374-Project
The purpose of this project is to design, simulate, implement, and verify a Simple RISC Computer (Mini SRC) consisting of a simple RISC processor, memory, and I/O.
ELEC-377-Operating-Systems
A variety of labs were constructed using the concepts of operating systems, designing principles of operating systems and implementation of operating systems.
ELEC-390-Applied-Data-Science
ELEC 390 is a course aimed at preparing students for the definition, design, and development of engineering projects and products. It covers topics such as design principles, management techniques, development methodologies, and intellectual property. The course includes the introduction and use of software and tools for design and development.
Guess-Master-Game-V3
Guess Master is a game that allows users to the guess the birthday of an entity (i.e Famous Person, Country, Singer etc). It requires physical inputs from a human player to guess the correct birthday of the randomly selected entity. This version of the game is integrated into a graphical user interface in Android Studio.
Logistic-Regression-Walking-or-Jumping-Model
The project involves building a small and simple desktop application that accepts accelerometer data in CSV format, and writes the outputs into a separate CSV file. The output CSV file contains the labels (‘walking’ or ‘jumping’) for the corresponding input data. For classification purposes, the system will use a simple classifier.