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    Moodle is an open-source Learning Management System (LMS) that provides educators with the tools and features to create and manage online courses. It allows educators to organize course materials, create quizzes and assignments, host discussion forums, and track student progress. Moodle is highly flexible and can be customized to meet the specific needs of different institutions and learning environments.

    Moodle supports both synchronous and asynchronous learning environments, enabling educators to host live webinars, video conferences, and chat sessions, as well as providing a variety of tools that support self-paced learning, including videos, interactive quizzes, and discussion forums. The platform also integrates with other tools and systems, such as Google Apps and plagiarism detection software, to provide a seamless learning experience.

    Moodle is widely used in educational institutions, including universities, K-12 schools, and corporate training programs. It is well-suited to online and blended learning environments and distance education programs. Additionally, Moodle's accessibility features make it a popular choice for learners with disabilities, ensuring that courses are inclusive and accessible to all learners.

    The Moodle community is an active group of users, developers, and educators who contribute to the platform's development and improvement. The community provides support, resources, and documentation for users, as well as a forum for sharing ideas and best practices. Moodle releases regular updates and improvements, ensuring that the platform remains up-to-date with the latest technologies and best practices.

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Available courses

Data Structures

The Data Structures course provides students with a fundamental understanding of how data can be organized, stored, and manipulated efficiently to solve complex computational problems. Building on basic programming knowledge, this course introduces various data structures that are essential for writing efficient algorithms and software.

Students will study linear data structures such as arrays, linked lists, stacks, and queues, learning their implementation, operations, and real-world applications. The course also covers non-linear data structures like trees and graphs, focusing on traversal techniques, searching, and basic graph algorithms.

Understanding the strengths and limitations of different data structures enables students to choose the most appropriate one for specific programming tasks, improving performance and resource management. The course emphasizes analyzing time and space complexity, giving students tools to evaluate the efficiency of their solutions.

Hands-on programming assignments help students implement these structures and apply them to practical problems, reinforcing concepts through real coding experience. By the end of the course, students will be proficient in using fundamental data structures to organize data effectively, laying a strong foundation for advanced studies in algorithms, software development, and computer science.

Programming Fundamentals II

Programming Fundamentals II builds on the basics of programming, deepening students’ understanding of core programming concepts and preparing them for more advanced software development. This course focuses on enhancing problem-solving skills through the use of structured programming techniques, control structures, and modular design.

Students will explore advanced control structures such as nested loops, multi-way selection (switch-case), and recursion, gaining the ability to handle complex logic efficiently. The course emphasizes writing reusable and maintainable code by introducing functions and procedures, including parameter passing, return values, and scope of variables.

Data handling is expanded with the study of arrays and strings, teaching students how to store and manipulate collections of data. The course also introduces basic debugging techniques and error handling to build robust programs.

Throughout the course, students apply theoretical concepts through hands-on programming exercises and projects, reinforcing best practices in coding and program design. By the end of Programming Fundamentals II, students will have a stronger foundation in writing clean, modular, and efficient code, ready to transition into more specialized programming paradigms like Object-Oriented Programming or data structures and algorithms.

Database Fundamentals

The Database Fundamentals course introduces students to the core concepts and principles of database management systems (DBMS). It provides a comprehensive understanding of how data is organized, stored, and retrieved efficiently in modern applications. Students learn the fundamentals of relational databases, including database design, modeling, and normalization techniques to ensure data integrity and reduce redundancy.

The course covers the Structured Query Language (SQL), enabling students to create, manipulate, and query databases effectively. Topics include creating tables, inserting and updating data, writing complex queries using joins, and implementing constraints and indexes for optimized performance.

Students will explore data models, including relational, hierarchical, and network models, gaining insight into how different database architectures operate. The course also introduces essential concepts such as transactions, concurrency control, and database security to maintain data consistency and protect against unauthorized access.

Practical exercises and projects provide hands-on experience in designing databases and writing SQL queries, preparing students for real-world applications. By the end of the course, students will be able to design and manage databases, implement SQL queries, and understand the foundational principles needed to work with various DBMS platforms, making them ready for further study or entry-level roles in database administration and development.

Software Development Life Cycle

The Software Development Life Cycle (SDLC) course introduces students to the systematic process of developing high-quality software efficiently and effectively. SDLC provides a structured framework that guides the planning, creation, testing, deployment, and maintenance of software applications. This course covers the essential phases of SDLC, including requirements analysis, system design, implementation, testing, deployment, and maintenance.

Students will learn how to gather and analyze user requirements to create clear and actionable software specifications. The course explores various design methodologies, focusing on translating requirements into functional and technical designs. Emphasis is placed on coding standards, best practices, and project management principles to ensure smooth implementation.

Testing techniques, including unit, integration, system, and acceptance testing, are covered to ensure the software meets quality standards and performs reliably. Deployment strategies and post-deployment support, such as bug fixing and updates, are also discussed to maintain software over its lifecycle.

Through case studies and practical projects, students gain hands-on experience in managing software projects from inception to completion. By the end of the course, students will understand how to apply SDLC models like Waterfall, Agile, and Spiral, and will be equipped to participate effectively in software development teams, ensuring timely delivery of robust software solutions.

OBJECT ORIENTED PROGRAMMING

Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around data, or objects, rather than functions and logic. This course introduces students to the principles of OOP, focusing on how to model real-world entities as objects that interact with each other. OOP provides a powerful approach to designing modular, reusable, and maintainable code.

The course starts with the four fundamental concepts of OOP: Encapsulation, Abstraction, Inheritance, and Polymorphism. Students will learn how to encapsulate data and behaviors within classes, and how to create interfaces that hide implementation details while providing essential functionality.

Inheritance allows objects to inherit properties and behaviors from other objects, promoting code reusability and hierarchy. Polymorphism enables objects of different classes to be treated as instances of the same class, which simplifies code and increases flexibility.

Students will also learn about classes and objects, the key building blocks of OOP, as well as how to design classes with constructors, methods, and attributes. The course also covers advanced topics like abstract classes, interfaces, and design patterns, which help solve common software design problems.

Through practical coding exercises and real-world projects, students will gain hands-on experience applying OOP concepts to solve problems, enabling them to write more efficient, maintainable, and scalable software.

By the end of the course, students will be proficient in using OOP principles to design and implement object-oriented solutions in a variety of programming languages, such as Java, Python, C++, or C#.

STRUCTURED PROGRAMMING

Structured Programming is a programming methodology that promotes clarity, efficiency, and maintainability in software development by using a well-defined, logical structure. This course introduces students to the foundational principles of structured programming, focusing on breaking down complex problems into smaller, manageable parts. The core concepts—sequence, selection, and iteration—are explored through practical examples, giving students the tools to write clean, understandable code.

Students will learn to use key control structures such as loops and conditional statements to implement logic, along with modular techniques like functions and procedures to organize code and reduce redundancy. Emphasis is placed on top-down design, where problems are decomposed into smaller subproblems, as well as error handling, debugging, and testing.

The course also covers essential data structures like arrays, lists, and stacks, and introduces algorithms such as sorting and searching. Students will gain hands-on experience with recursion and file handling, reinforcing their understanding of how to manipulate data efficiently. Through case studies and projects, students will apply structured programming principles to solve real-world problems, ensuring they develop skills in both algorithmic thinking and software engineering best practices.

By the end of the course, students will be proficient in creating well-organized, maintainable code for a variety of programming tasks.