2. Data Structures and Algorithms

2. Data Structures and Algorithms

2.1 Fundamentals of Data Structures

• Fundamental Concepts of Data Structures

• Abstract Data Types (ADT)

• Classification of Data Structures

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2.2 Linear Data Structures

• Stacks

• Queues

• Lists

• Linked Lists

• Priority Queues

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2.3 Tree Data Structures

• General Trees

• Binary Trees

• Tree Traversals (Preorder, Inorder, Postorder)

• Tree Implementations

• Binary Search Trees (BST)

• Balanced Search Trees

  • AVL Trees

  • 2–3 Trees

  • Red–Black Trees

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2.4 Indexing and Advanced Tree Structures

• Indexing Methods

• Hashing

• Hash Trees

• Suffix Trees

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2.5 Algorithm Complexity Analysis

• Time Complexity

• Space Complexity

• Big-O Notation

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2.6 Algorithm Analysis Techniques

• Analysis of Simple Recursive Algorithms

• Analysis of Non-Recursive Algorithms

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2.7 Algorithm Design Techniques

• Searching Algorithms

• Merging Algorithms

• Sorting Algorithms

• Divide-and-Conquer Techniques

• Dynamic Programming

• Greedy Methods

• Backtracking

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2.8 Graph Algorithms

• Graph Representation

• Depth-First Search (DFS)

• Breadth-First Search (BFS)

• Shortest Path Problems

• Minimum Spanning Tree Algorithms

• Directed Acyclic Graphs (DAGs)

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