Data Structures & Algorithms (DSA) Course by Umamageswari B

Course Overview

This Placement-Oriented Data Structures & Algorithms (DSA) course is designed to help students and job seekers build strong problem-solving skills required for technical interviews, coding tests, and campus placements.
The course focuses on concept clarity, coding implementation, and real interview problems, taught with a practical, step-by-step approach.

Who This Course Is For

• Engineering students (CSE / IT / ECE)

• Beginners in programming who want to master DSA

• Students preparing for FAANG / product-based companies

• Candidates targeting campus placements & off-campus drives

• Professionals looking to strengthen algorithmic thinking

Programming Languages Covered

• C / C++

• Java

• Python
  (Students can choose their preferred language for practice)

Course Curriculum

1. Programming Foundations

• Time & Space Complexity (Big-O Notation)

• Recursion & Backtracking

• Problem-solving strategies

2. Linear Data Structures

• Arrays & Strings (Interview-focused problems)

• Linked List (Singly, Doubly, Circular)

• Stack (Applications & problems)

• Queue (Simple, Circular, Deque, Priority Queue)

3. Non-Linear Data Structures

• Trees

  • Binary Tree

  • Binary Search Tree

  • Tree Traversals

• Heaps & Priority Queues

• Hashing (Hash Maps & Hash Sets)

4. Algorithms

• Sorting Algorithms (Bubble, Selection, Insertion, Merge, Quick)

• Searching Algorithms (Linear, Binary Search)

• Greedy Algorithms

• Divide & Conquer

• Dynamic Programming (Intro to Advanced)

• Graph Algorithms (BFS, DFS, Shortest Path basics)

5. Interview Problem Solving

• Company-specific coding questions

• Pattern-based problem solving

• Mock coding interviews

• Resume-oriented DSA problems

Teaching Methodology

• Mode: Online Live Classes

• Concept explanation with visuals

• Live coding sessions

• Step-by-step problem breakdown

• Multiple approaches for each problem

• Interview tips & optimization techniques

Key Highlights

✔ Placement-focused curriculum
✔ Real interview questions from top companies
✔ Hands-on coding practice
✔ Personalized doubt-clearing sessions
✔ Mock interviews & assessments
✔ Beginner-friendly to advanced progression

Learning Outcomes

After completing this course, students will be able to:

• Write optimized and clean code

• Analyze time & space complexity

• Solve DSA interview problems confidently

• Crack coding rounds and technical interviews

• Build a strong foundation for competitive programming