Programming Courses Mode: Regular Code: DSA-201 📍 Ranchi & Daltonganj

Data Structures and Algorithms

Certificate in Data Structures & Algorithm Design (DSA)

Awarding Institution: The Earth Computer Institute

🏛️ Industry Standard Coding Standards

Master Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching, Dynamic Programming, and Time Complexity.

Duration: 3 Months (60 Hours)

Study Mode: Regular

Fees: Contact Institute / Customizable

Batches: Morning & Evening

💬 WhatsApp Syllabus

Eligibility: Proficiency in C, C++, or Java

University/Center: The Earth Computer Institute

Course Fee: Contact Institute / Customizable

Certification: Verified & Recognized

Course Overview

Data Structures and Algorithms (DSA) is the most critical subject for technical job interviews, campus placements, and building scalable software. The Earth Computer Institute provides in-depth conceptual clarity with visual dry-runs, rigorous complexity analysis (Big-O, Big-Omega, Big-Theta), and 150+ coding problems solved live in our Ranchi and Daltonganj labs.

Detailed Syllabus & Modules

6 Structured Modules

1 Module 1: Asymptotic Analysis & Recursion

› Time & Space Complexity analysis (Big-O notation)
› Recursion fundamentals, call stacks, and recurrence relations
› Divide and conquer strategy and backtracking patterns

2 Module 2: Linear Data Structures

› Arrays: Dynamic arrays, sliding window, two-pointer techniques
› Singly, Doubly, and Circular Linked Lists with edge cases
› Stacks: Array/LL implementation, Infix-to-Postfix conversion, Balanced Parentheses
› Queues: Linear, Circular, Deque, Priority Queue

3 Module 3: Sorting & Searching Algorithms

› Linear & Binary Search (variants, search in rotated array)
› Bubble, Selection, Insertion, Merge Sort, Quick Sort, Heap Sort
› Counting sort, Radix sort, and stability analysis

4 Module 4: Non-Linear Data Structures - Trees

› Binary Trees: Traversals (Inorder, Preorder, Postorder, Level Order)
› Binary Search Trees (BST): Insertion, Deletion, Search, Validation
› AVL Trees and Balanced BST concepts
› Heaps: Min-Heap, Max-Heap, Heapify algorithm

5 Module 5: Graph Data Structures & Algorithms

› Graph representations: Adjacency Matrix and List
› Graph Traversals: Breadth First Search (BFS) & Depth First Search (DFS)
› Shortest Path: Dijkstra's Algorithm, Bellman-Ford
› Minimum Spanning Tree: Prim's and Kruskal's Algorithm

6 Module 6: Advanced Topics & Interview Prep

› Hashing, Hash Tables, Collision Resolution techniques
› Introduction to Greedy Algorithms and Dynamic Programming (DP)
› Top 50 MNC / Placement Interview Problem Walkthrough

🎯 What You Will Master

✓ Analyze algorithm efficiency using Time and Space complexities.
✓ Select optimal data structures for complex computing problems.
✓ Crack technical coding assessments for top IT recruiters.
✓ Master problem-solving on platforms like LeetCode and HackerRank.

💼 Career Opportunities

★ Software Engineer / SDE-1
★ Full Stack Developer (Problem Solving Specialist)
★ Campus Placement Tech Aspirant
★ Algorithm Engineering Associate

Admissions Open

Enquire for Data Structures and Algorithms

Get syllabus PDF, batch schedule, and fee details.

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📍 Ranchi Lab: Circular Rd, Near Lalpur Chowk

📍 Daltonganj Lab: Redma Chowk / Court More

📞 Direct Call: +91-7677850666

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