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Data Structures & Algorithms using Java

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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. 
  • M.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.

Duration: 60 hours (including lectures, hands-on labs, assignments, and assessments).

Delivery Mode: 100 % Online Live Instructor LED Training

1Introduction to Time and Space Complexity
 Analysis of Algorithms
 Time and Space Complexity notations
 Why Big O dominates other notations
 Standard categories of measuring the complexity
 Graph representation of standard categories
 Graph representation of standard categories
 Counting the no. of operations in an algorithm/code
 Role of constant terms in measuring the complexity
 Methods of measuring the runtime of algorithm
 Measuring auxiliary space requirements


2Array And String
 Introduction to Arrays
 Types for 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


3Introduction to Recursion
 Introduction to Recursion
 Need of recursion
 How recursion works
 Recursion vs Iteration
 Building the base conditions
 Types of Recursion with examples
 Introduction to Divide & Conquer(D&C) techniquec
 Discussion of solutions to problems from Competitive Programming platforms
 Discussion of solutions to interview questions


4Searching & 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


5Linked 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


6Stack 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
  


7Tree
 Tree
 Binary Tree
 Binary Search Tree
 AVL Tree
  


8Graph
 Graph
 Graph Implementation
 BFS Algorithm
 DFS Algorithm

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