Data Structures and Algorithms (DSA)
Data Structures and Algorithms (DSA) form the foundation of computer
science and programming. They help in organizing and processing data efficiently, enabling the
development of optimized and scalable software applications.
Data Structures are ways to store and organize data, including Arrays,
Linked Lists, Stacks, Queues, Trees, Graphs, and Hash Tables. Algorithms are step-by-step procedures
for solving problems, such as Sorting (Merge Sort, Quick Sort), Searching (Binary Search), and Graph
Algorithms (Dijkstra’s, BFS, DFS). Mastering DSA is crucial for software development, competitive
programming, and technical interviews.
Course Content
- What is DSA?
- Why use C for DSA?
- Understanding Algorithm Efficiency
- Big-O Notation
- Introduction to Arrays in C
- Operations on Arrays (Insertion, Deletion,
Traversal)
- String Manipulation in C
- Two-Pointer Technique
- Introduction to Linked Lists
- Singly vs Doubly Linked Lists
- Circular Linked Lists
- Common Linked List Operations in C
- Stack Implementation using Arrays & Linked Lists
- Queue Implementation in C
- Priority Queues
- Deque and Circular Queue
- Understanding Recursion in C
- Tail vs Non-Tail Recursion
- Backtracking Techniques
- Solving Problems using Recursion
- Introduction to Trees
- Binary Trees and Traversals in C
- Binary Search Trees (BST) Implementation
- AVL Trees and Red-Black Trees
- Graph Representation in C
- BFS and DFS Implementation
- Shortest Path Algorithms (Dijkstra, Floyd-Warshall)
- Bubble, Selection, and Insertion Sort
- Merge Sort and Quick Sort
- Binary Search and Linear Search
- Hashing and Hash Tables
- Introduction to Dynamic Programming
- Common DP Problems (Knapsack, LCS, LIS)
- Greedy Algorithms & Their Applications
