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The Earth Computer Institute
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๐Ÿ“ Daltonganj Campus Practical Training

Data Structures and Algorithms Course in Daltonganj

Master Data Structures and Algorithms with 1:1 computer lab training at The Earth Computer Institute Daltonganj branch (Near Court More & Zila Parishad Complex). Personalized guidance for college exams, competitive programming, and corporate job placements.

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Daltonganj Lab Batch Highlights

โฑ๏ธ Course Duration: 3 Months (60 Hours)

๐ŸŽฏ Eligibility: Proficiency in C, C++, or Java

๐Ÿ“ Campus: Main Road, Near Court More / Redma Chowk, Medininagar, Palamu, Jharkhand - 822101

โฐ Lab Hours: Monday - Saturday: 7:30 AM - 7:30 PM | Sunday: Doubt Solving Sessions

โœ“ 2-Day Free Demo Class Available in Daltonganj

Why Learn Data Structures and Algorithms at The Earth Institute Daltonganj?

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.

At our Daltonganj campus, students receive individual high-performance PC access with modern IDEs and compilers. Our experienced instructors conduct step-by-step code walkthroughs, weekly module assessments, and project code reviews.

Complete Data Structures and Algorithms Syllabus (6 Modules)

Module 1: Module 1: Asymptotic Analysis & Recursion

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

Module 2: Module 2: Linear Data Structures

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

Module 3: Module 3: Sorting & Searching Algorithms

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

Module 4: Module 4: Non-Linear Data Structures - Trees

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

Module 5: Module 5: Graph Data Structures & Algorithms

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

Module 6: Module 6: Advanced Topics & Interview Prep

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

Learning Outcomes & Skills

  • โœ“ Analyze algorithm efficiency using Time and Space complexities.
  • โœ“ Select optimal data structures for complex computing problems.
  • โœ“ Crack technical coding assessments for top IT recruiters.
  • โœ“ Master problem-solving on platforms like LeetCode and HackerRank.
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Campus: Main Road, Near Court More / Redma Chowk, Medininagar, Palamu, Jharkhand - 822101

Helpline: +91-7677850666