Software Development

Object-Oriented Data Structures in C++

Apply OOP principles to implement modular and reusable data structures in C++.

Object-Oriented Data Structures in C++
Track Software Development
Duration 30 hours
Skill Level Intermediate
Language English

About this Course

Apply OOP principles to implement modular and reusable data structures in C++.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

Hands-on module breakdown aligned with MKCL production standards and industry requirements.

  • Introduction
  • Operation on BST - search and insert
  • Deletion from a BST
  • Programming: Binary Search Tree
  • Generating BST from preorder
  • Applications of Binary Tree
  • Generating BST from post order
  • Binary Search Tree: Problems and Solution
  • Introduction
  • Operation on AVL tree
  • Programming various operations on AVL
  • AVL Tree: Problems and Solution
  • Balancing AVL tree
  • Programming Balancing of AVL
  • 2-3 Trees Introduction
  • 2-3-4 trees Introduction
  • Searching in a 2-3 Tree
  • Insertion in a 2-3 Tree
  • Deletion from a 2-3 Tree
  • Introduction to red black tree
  • Operations on red black tree
  • Operation on red black tree to a 2-3-4 tree
  • Priority Queue
  • Introduction to Heap
  • Insertion in a heap
  • Heap: Problems, Solution and Implementation
  • Heap as a priority queue and Implementation
  • Heap as a priority queue and Implementation
  • Replacement of a node in heap
  • Introduction to Disjoint subsets
  • Fast find implementation
  • Fast Union Implementation
  • Definition and terminologies
  • Depth First Search (DFS)
  • Breadth First Search (BFS)
  • Spanning Tree
  • Disjoint subsets
  • Minimum Spanning Tree
  • Prim’s method
  • Kruskal’s method
  • Programming: Minimal spanning tree
  • Introduction
  • Linear Search
  • Binary Search
  • Interpolation Search
  • Introduction to sorting
  • Bubble Sort
  • Selection Sort
  • Insertion Sort
  • Shell Sort
  • Comparison of Sorting Methods
  • Merge Sort
  • Quick Sort
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!

Ready to start Object-Oriented Data Structures in C++?

Join our upcoming batch at ZICA Kalyani center with certified instructors.

MKCL Certified Program

Admissions Open 2026

Flexible Offline & Hybrid Batches

Course Overview
  • Duration: 30 hours
  • Track: Software Development
  • Skill Level: Intermediate
  • Language: English
  • Mode: Learn at ALC or at Home
  • Certificate: Official MKCL
Key Course Highlights:
  • Explain how different object-oriented data structures optimize data handling and processing.
  • Identify suitable tree structures like BST, AVL, and Red-Black trees for specific use cases.
  • Write C++ programs to perform insertion, deletion, and searching on various trees.
  • Evaluate heap operations for effective use in real-time priority queue problems.
  • Balance AVL trees using rotations and apply Red-Black Tree transformations.
  • Utilize union-find algorithms in problems involving disjoint subsets.
  • Perform depth-first and breadth-first graph traversals to explore complex data networks.
  • Build Minimum Spanning Trees using standard algorithms like Prim’s and Kruskal’s.
  • Assess the efficiency of various sorting methods based on input data and use-case.
  • Create functional C++ programs integrating multiple data structures for given problem statements.
Quick Admission Enquiry

Speak with our center coordinator today.

Other MKCL Courses