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Data Structures & Algorithms using JAVA

Original price was: ₹5,083.90.Current price is: ₹3,999.00.

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Description

Topics covered in the course includes: data abstraction, a survey of linear data structures, nonlinear data structures, a discussion of more advanced internal and external sort and search algorithms, and The algorithm analysis and trade-offs study shall be done. Implementations and their efficiency in C Language shall be considered in the implementation.

This course is encapsulated with following key materials –

  • Warm up on the concepts with topic-wise tutorials.
  • Prepare with comprehensive Topic-wise tutorial Materials.
  • Data abstraction and information hiding.
  • Linear data structures and their applications in problem solving and programming.
  • Nonlinear data structures and their applications in problem solving and programming.
  • Internal and external sort and search techniques.
  • Highly Qualified and Experience Technical Team to help each trainee.
  • Small Batch Size for focused Learning analysing the career path of the student.

Prerequisites:

  • C Programming
  • Willingness to improve and compete with the best.
  • Curiosity to learn more and code.

Key Learning Outcomes:

When you complete this Course Curriculum, you will be able to accomplish the following:

  • Crack placement of Top-Tier IT companies.
  • Career enhancement and advancement.
  • New ways of solving problems, and the ability to solve more complex problems.
  • Finding algorithmically fast solutions.
  • Writing bug-free code.

Target Audience:

  • Students who want to get selected in Top-Tier IT Companies like TCS, Infosys, Microsoft, Samsung, Wipro and all leading MNCs of the world.
  • Students who wish to compete, crack and win Coding Competitions  by improving their logic and programming skills
  • Students who want to learn a different Problem-Solving Approach.
  • Tech/ B.Tech/ MCA/ BCA/Any Graduate or Diploma Holder

Test & Evaluation

  • During the program, the participants will have to take all assignments given to them for better learning.
  • At the end of the program, a final assessment will be conducted

Certification

  • All successful participants will be provided with a certificate of completion.
  • Students who do not complete the course / leave it midway will not be awarded any certificate.

Additional information

Winter Training Program

Dec, Jan

Module 1: Introduction to Time and Space Complexity

  • Analysis of Algorithms
  • Time and Space Complexity Notations
  • Why Big O Dominates Other Notations
  • Standard Categories of Measuring Complexity
  • Graph Representation of Standard Categories
  • Counting the Number of Operations in an Algorithm/Code
  • Role of Constant Terms in Measuring Complexity
  • Methods of Measuring the Runtime of an Algorithm
  • Measuring Auxiliary Space Requirements

Module 2: Array and String

  • Introduction to Arrays
  • Types of Arrays
  • Introduction to 1-D Arrays
  • Operations on 1-D Arrays
  • Frequency Array Technique
  • Two Pointers Technique
  • Sliding Window Technique
  • Prefix/Postfix Sum Approach
  • Solving Problems on Ranges
  • Introduction to 2-D Arrays
  • Operations on 2-D Arrays

Module 3: Introduction to Recursion

  • Introduction to Recursion
  • Need for Recursion
  • How Recursion Works
  • Recursion vs. Iteration
  • Building the Base Conditions
  • Types of Recursion with Examples
  • Introduction to Divide & Conquer (D&C) Technique
  • Discussion of Solutions to Problems from Competitive Programming Platforms
  • Discussion of Solutions to Interview Questions

Module 4: Searching & Sorting

  • Introduction to Searching & Sorting
  • Need for Searching & Sorting
  • Linear Search
  • Binary Search
  • Sorting Techniques
  • Selection Sort
  • Bubble Sort
  • Insertion Sort
  • Shell Sort
  • Merge Sort
  • Quick Sort

Module 5: Linked List

  • Introduction to Self-Referential Objects
  • Linked Lists – Terminology
  • Types of Linked Lists
  • Representation of Linked Lists
  • Single Linked List
  • Circular Single Linked List
  • Double Linked List
  • Circular Double Linked List
  • Operations on Linked Lists

Module 6: Stack and Queue

  • Concept of Stack
  • Examples of Stack
  • Preliminary Operations on Stack
  • Stack Implementation
  • Implementation of Two Stacks in Array
  • Introduction to Infix, Postfix, and Prefix Expressions
  • Limitation of Infix Representation
  • Applications of Stack
  • Concept of Queue
  • Examples of Queue
  • Preliminary Operations on Queue
  • Types of Queues
  • Queue Using Stacks – Implementation
  • Applications of Queues

Module 7: Tree

  • Tree
  • Binary Tree
  • Binary Search Tree
  • AVL Tree

Module 8: Graph

  • Graph
  • Graph Implementation
  • BFS Algorithm
  • DFS Algorithm

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