Data Structures & Algorithms Course

DSA Foundations

Programming Basics

• What is an Algorithm?
• Problem-Solving Approach
• Time & Space Complexity
• Big-O, Big-Ω, Big-Θ

Logic Building

• Dry Run Techniques
• Edge Case Handling
• Optimizing Solutions

Basic Data Structures

Linear Structures

• Arrays & Strings
• Linked Lists (Singly & Doubly)

Stack & Queue

• Stack Operations & Applications
• Queue, Circular Queue
• Deque

Searching & Sorting

Searching Techniques

• Linear Search
• Binary Search

Sorting Algorithms

• Bubble, Selection, Insertion
• Merge Sort
• Quick Sort

Advanced Data Structures

Trees

• Binary Tree
• Binary Search Tree
• Tree Traversals
• AVL Tree Basics

Graphs

• Graph Representation
• BFS & DFS
• Shortest Path Algorithms

Advanced Algorithms & Career

Advanced Algorithms

• Recursion & Backtracking
• Greedy Algorithms
• Dynamic Programming
• Divide & Conquer

Practice & Interview Prep

• DSA Problem Sets
• Interview-Oriented Questions
• Mock Interviews

Career Outcomes

• Software Developer
• Backend Developer
• Interview-Ready Candidate
• Intern / Fresher Roles