Tutorial on Data Structures using ChatGPT
- Foundational Concepts
Abstract Data Types (ADTs) vs. Data Structures
Big-O notation basics (for time and space complexity)
- Linear Data Structures
Arrays
Static arrays
Dynamic arrays (resizable, e.g., ArrayList in Java, vector in C++)
Strings (as specialized arrays of characters)
Linked Lists
Singly linked list
Doubly linked list
Circular linked list
Stacks
Array-based implementation
Linked-list-based implementation
Applications (expression evaluation, backtracking)
Queues
Simple queue
Circular queue
Double-ended queue (deque)
Priority queue (intro only, deeper later)
- Hash-Based Structures
Hash Tables / Hash Maps
Hash functions and collisions
Collision resolution (chaining, open addressing)
Sets (implemented via hashing)
- Tree-Based Structures
Binary Trees
Terminology (root, leaf, depth, height, etc.)
Tree traversals (inorder, preorder, postorder, level-order)
Binary Search Trees (BSTs)
Insertion, search, deletion basics
Balanced Trees (intro-level overview)
AVL Trees (brief mention)
Red-Black Trees (brief mention)
Heaps
Min-heap and max-heap
Heap as array representation
Applications: heap sort, priority queues
Tries (Prefix Trees) (basic introduction, for strings/dictionaries)
- Graphs
Graph Basics
Terminology (vertices, edges, degree, paths, cycles, connectivity)
Representations: adjacency list vs. adjacency matrix
Types of Graphs
Directed vs. undirected
Weighted vs. unweighted
Trees as special cases of graphs
Basic Traversal Algorithms (Dijkstra's Algorithm, Traveling Salesman)
Depth-First Search (DFS)
Breadth-First Search (BFS)