UNESP Computer Science Degree Courses

📋 Overview

This repository contains projects, assignments, and materials from the courses I completed during my Computer Science degree at UNESP (São Paulo State University) in Bauru.

🎓 Disciplines Included

The repository currently includes the following courses:

• Compiladores (Compilers): Implementation of lexical, syntactic, and semantic analyzers
• Estruturas de Dados (Data Structures): Implementation of fundamental data structures and algorithms
• Inteligência Artificial (Artificial Intelligence): ML algorithms, search techniques, and intelligent systems
• Métodos Numéricos (Numerical Methods): Mathematical algorithms for numerical analysis and scientific computing
• Programação Orientada a Objetos (Object-Oriented Programming): OOP concepts, design patterns, and software development
• Sistemas Operacionais (Operating Systems): Microkernel implementation and process management

🔍 Repository Structure

Each discipline is contained in its own directory with the following naming convention:

disciplina-[course-name]

For example:

• disciplina-compiladores
• disciplina-estruturas-de-dados
• disciplina-inteligencia-artificial
• disciplina-metodos-numericos
• disciplina-programacao-orientada-a-objetos
• disciplina-sistemas-operacionais

Each directory contains:

• Course-specific code and projects
• README with detailed explanations
• Additional resources and documentation

💻 Highlighted Projects

Operating Systems

Implementation of a C language microkernel project that simulates multiprogramming in MS-DOS using the Round Robin scheduling algorithm.

Compilers

Development of lexical, syntactic, and semantic analyzers for a custom programming language.

Data Structures

Implementation of fundamental data structures and algorithms essential for efficient program design and problem-solving.

Artificial Intelligence

Implementation of search algorithms, machine learning models, and intelligent systems to solve various computational problems.

Numerical Methods

Development of numerical algorithms for solving mathematical problems in scientific computing.

Object-Oriented Programming

Creation of software applications using OOP principles, design patterns, and software engineering methodologies.

🚀 Getting Started

To explore any specific course:

1. Navigate to the desired course directory
2. Read the course-specific README.md for detailed information
3. Check out the source code and project files
4. Follow the instructions in each directory for compilation and execution when applicable

📚 Academic Context

These projects were developed as part of the Bachelor's degree in Computer Science at UNESP Bauru. They represent the practical application of theoretical concepts learned throughout the program.

📄 License

This repository is licensed under the MIT License - see the LICENSE file for details.