Object-Oriented Data Structures and Algorithms

This course explores the application of object-oriented programming principles to the design and implementation of data structures and algorithms. The course covers advanced data structures such as linked lists, stacks, queues, trees, heaps, hash tables, and graphs. Students will also learn algorithm design and analysis, focusing on sorting, searching, and traversal algorithms. Using object-oriented techniques, students will develop efficient, reusable, and maintainable code, applying data structures to solve complex computational problems.

Upon successful completion of this course, students will be able to:

• Understanding Object-Oriented Principles in Data Structures: Students will gain a comprehensive understanding of how object-oriented programming concepts (such as classes, objects, inheritance, and polymorphism) are applied to the implementation of data structures like linked lists, stacks, queues, and trees.
• Implementing Advanced Data Structures: Learn to implement and manipulate advanced data structures such as heaps, hash tables, and graphs, focusing on efficient storage, retrieval, and organization of data.
• Designing and Analyzing Algorithms: Gain proficiency in designing algorithms for searching, sorting, and traversing data structures, using techniques such as recursion and dynamic programming, while analyzing their efficiency using Big-O notation.
• Applying Data Structures to Solve Problems: Develop problem-solving skills by applying appropriate data structures and algorithms to tackle real-world computational problems, ensuring the code is optimized for performance, reusability, and maintainability.

These outcomes aim to provide students with advanced programming skills in data structures and algorithms using object-oriented techniques, preparing them for more complex topics in computer science, such as software development, systems programming, and algorithmic problem-solving.