https://github.com/UsamaIsrarDev/rational-database-management-system.git
- Core concepts of relational databases and data models.
- SQL commands for data definition, manipulation, and querying.
- Database normalization, relationships, and indexing.
- Concepts of transactions, concurrency control, and data integrity.
- Design, implement, and manage relational databases efficiently.
- Write optimized SQL queries for real-world applications.
- Understand database security, normalization, and performance tuning.
- Apply database concepts in backend development projects.
https://github.com/UsamaIsrarDev/data-structure-and-application.git
- Core data structures such as arrays, linked lists, stacks, queues, trees, and graphs.
- Sorting, searching, and traversal algorithms.
- Time and space complexity (Big O notation).
- Implementation of data structures in high-level programming languages.
- Select and implement efficient data structures for specific problems.
- Analyze algorithm performance and optimize code.
- Build real-world applications using trees, graphs, and recursion.
- Strengthen logical and analytical problem-solving skills.
https://github.com/UsamaIsrarDev/ordinary-differential-equation.git
- Concepts of first and higher-order differential equations.
- Analytical and numerical methods for solving ODEs.
- Applications of differential equations in physics, engineering, and computer science.
- Modeling real-world systems using ODEs.
- Solve differential equations using standard methods.
- Apply ODEs to model and simulate dynamic systems.
- Understand mathematical reasoning behind physical and computational models.
- Use ODEs as a tool for research and scientific problem-solving.
https://github.com/UsamaIsrarDev/automata-theory.git
- Fundamental concepts of formal languages and automata.
- Finite automata, regular expressions, and grammars.
- Pushdown automata, Turing machines, and computability theory.
- Theoretical foundations of compiler design and algorithmic computation.
- Understand the limits of computation and language recognition.
- Construct and analyze automata and grammars.
- Grasp the theoretical basis of modern programming languages.
- Strengthen analytical and abstract reasoning skills.
https://github.com/UsamaIsrarDev/software-development.git
- End-to-end software development process and project management.
- Implementation of SDLC models such as Agile and Waterfall.
- Hands-on coding, version control (Git), and software testing.
- Collaboration techniques using modern development tools.
- Develop complete software projects following best practices.
- Collaborate in teams using Git and agile methodologies.
- Apply software design principles and testing strategies.
- Build professional-quality, maintainable applications.
https://github.com/UsamaIsrarDev/probability-and-statistics.git
- Fundamental probability concepts and statistical methods.
- Data collection, organization, and visualization techniques.
- Probability distributions, hypothesis testing, and regression analysis.
- Application of statistics in computing, AI, and data science.
- Perform statistical analysis and interpret data effectively.
- Apply probability models to real-world problems.
- Understand randomness and uncertainty in computational systems.
- Build a strong foundation for machine learning and data analytics.
- Mastered core computer science fundamentals including algorithms, databases, and automata.
- Strengthened analytical, mathematical, and programming skills.
- Gained hands-on experience in software development and data handling.
- Built a strong foundation for advanced topics such as machine learning, AI, and system design.