Object Oriented Data Structure & Algorithms

Object Oriented Data Structure & Algorithms

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Join the program and get the opportunity to learn under the guidance of an object oriented data structure & algorithms specialist.

Object Oriented Data Structure & Algorithms

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50+

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In the world of software development, mastering Data Structures and Algorithms (DSA) is crucial. But when you combine this knowledge with Object-Oriented Programming (OOP) principles, you gain a powerful toolkit that sets you apart as a developer. At Ducat India, our Object-Oriented Data Structure & Algorithms Course is designed to help you build a deep understanding of these concepts, giving you the skills needed to solve complex problems and write efficient, scalable code.

Why Learn Object-Oriented Data Structures & Algorithms?

Data Structures and Algorithms are the building blocks of programming. They form the foundation for solving problems efficiently, making your code faster and more efficient. By understanding Object-Oriented Programming, you can organize your code in a way that is modular, reusable, and easy to maintain. Combining these two areas in one course allows you to approach problem-solving with a structured mindset, essential for tackling real-world programming challenges.

What Makes Our Object-Oriented Data Structure & Algorithms Course Stand Out?

At Ducat India, we go beyond the basics. Our Object-Oriented Data Structure & Algorithms Course is designed to provide a comprehensive understanding of both DSA and OOP. Here’s why our course is the best choice for aspiring developers:

  • In-Depth Curriculum: Our course covers a wide range of topics, from basic dat...

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Learn The Essential Skills

Learn The Essential Skills

Earn Certificates And Degrees

Earn Certificates And Degrees

Get Ready for The Next Career

Get Ready for The Next Career

Master at Different Areas

Master at Different Areas

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What you will learn?

  • C++ Fundamentals: Learn about the syntax, data types, control structures, functions, classes, and object-oriented programming principles in C++.
  • Memory Management: Understand concepts like dynamic memory allocation, pointers, and memory deallocation to efficiently manage memory resources in C++ programs.
  • Data Structures: Explore fundamental data structures such as arrays, linked lists, stacks, queues, trees, and graphs, along with their implementation and operations.
  • Algorithm Design: Dive into algorithm analysis, sorting algorithms (e.g., bubble sort, quicksort), searching algorithms (e.g., binary search), and various algorithmic techniques (e.g., dynamic programming, greedy algorithms).
  • Application Development: Apply C++ and data structure knowledge to develop practical applications, ranging from simple console-based programs to complex software systems, honing problem-solving and software engineering skills along the way.

Skill you will gain

  • Proficient Coding

  • Problem-Solving

  • Software Design

  • Optimization

Explore Modules of this course

C++ Language Contents:

Introduction to C++ Language Difference and Similarities between C and C++ Role Of Compilers and Assemblers Introduction to C++ Basic Flow Control StatementsJump statements Conditional Statements Iteration statements

Arrays

Introduction to Arrays Several examples of Arrays like insert, delete, counter occurrence of items etc. Searching Sorting 2 D Array Several Examples of 2 D arrays Multidimensional Array s

Strings

Introduction to Strings String handling built in functions Several examples of Strings Array of Strings Searching in Array of Strings Sorting in Array of Strings

POINTERS

Introduction to pointers Pointer expressions Types of PointersVoid Pointer NULL Pointer Wild Pointer Dangling Pointer Various examples of pointers Pointer Arithmetic's Array using pointers Array of ponter chaining pointer String using pointers Pointers in Functions

FUNCTIONS

Introduction to functions Types of functions Nesting of functions Various examples of functions Strings passing is functions Array Passing in Functions Pointer passing is functions Various Examples and Interview Questions on Recursion and Function

STRUCTURE

Introduction to structure Advantages of structure Array of structure Structure using pointer Structure with functions Applications of structure

DYNAMIC MEMORY ALLOCATION

Introduction to dynamic memory allocation Advantage of dynamic memory allocation new and delete operators Array implementation using dynamic memory allocation

Oops Introduction

Oops vs. Procedural Programming Approach Oops ImplementationAccessing class members Array of objects Types of members of classInstance members Static members Scope resolution Operator (::) Oops Approaches EncapsulationNesting of Class(i.e. Outer Class, Inner Class, Local Class) PolymorphismFunction Overloading Constructor & DestructorDeep Copy Shallow Copy Operator Overloading Function Overriding Reference variable PointersClass object using pointer Array of objects using pointer This pointer Etc.

Exception Handling

Introduction to Exception Handling Need of Exception Handling try, throw, catch Multiple catch blocks

FILE MANAGEMENT

Introduction to file management File opening modes Opening and closing a file Input output operations on file Error handling Applications of file management

Multithreading:

Thread introduction Thread Synchronization Life cycle of thread Deal Lock situation

Templates (Generic Programming):

Introduction to Templates and Generic Programming Advantages of template Template function and Template class

Standard Templates Library

Container Class Functions Iterators List class Stack class Queue Class De Queue Etc.

INTRODUCTION TO DATA STRUCTURE AND ALGORITHMS Other Related Courses R PROGRAMMING C WITH DATA STRUCTURE & ALGORITHMS C Language C++

What is data structure Benefits of data structure Types of data structure Introduction to algorithms Types of Algorithms Time and Space Complexity Interview Questions

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