Competitive Coding Methods and Techniques (Level-2) (WTP)

4,661.01 Taxes as Applicable(GST)

Course Overview

Course Duration:  100 Hrs. (Concepts + Hand on Practices)


Today in an era where the doors of all leading MNCs and companies are open to all. Companies will not visit College Campus for placements, so now the doors to get selected in your dream company is open irrespective of your college / university / city.  Competitive coding methods help to get a better placement and career enhancement.

Just sit in their online coding test after completing this course – crack it and get placed – SIMPLE


Target Audience:


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


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.
  • Higher-quality work.
  • The ability to deliver results under pressure.
  • The ability to better self-assess and rate others’ work.
  • New ways of solving problems, and the ability to solve more complex problems.
  • Finding algorithmically fast solutions.
  • Writing bug-free code.


Delivery Mode:


  • Online Live Instructor led learning.

this course is encapsulated with following key materials –

  • Warm up on the concepts with topic-wise tutorials.
  • Prepare with comprehensive Topic-wise tutorial Materials
  • Practice 100+ MCQ Questions, Assessments, and Live explanation in Details
  • Practice 30+ Problem Statements with Solved Solutions
  • Drill with 50+ Interview Questions for technical and HR Round.
  • 2 full-fledged technical mock tests.
  • Highly Qualified and Experience Technical Team to help each trainee.
  • Small Batch Size for focused Learning analyzing the keeping in mind the career path of the student


  • Coding Methods and Techniques (Level-1) should be cleared.
  • Willingness to improve and compete with the best.
  • Curiosity to learn more and code.


Module 01 – C


  • Introduction to Programming language
  • Data Types and Operators
  • Control Statements and Looping
  • Array, String, Storage Class
  • Function, Command Line Arguments Programming
  • Pointer and Dynamic Memory Allocation
  • Structure, Union and File Handling




  • Time Complexity
    • Introduction
    • Why Time Complexity
    • Big O notations
    • space Complexity
    • Practice Questions


  • Recursion and Back Tracking
    • What is Recursion?
    • Why Recursion?
    • Format of a Recursive Function
    • How Recursion works internally
    • Recursion and Memory (Visualization)
    • Recursion versus Iteration
    • When to use and avoid recursion
    • Time Complexity of recursive algorithms.
    • Example Algorithms of Recursion
    • What is Backtracking
    • Example Algorithms of Backtracking
    • Practice Questions
  • Linked List
  • what is linked list
  • Linked list vs Array
  • Components of Linked List
  • How is Linked List stored in Memory
  • Single Linked List (SLL)
  • Time Complexity of SLL
  • Circular Single Linked List (CSLL)
  • Time Complexity of CSLL
  • Double Linked List (DLL)
  • Time Complexity of DLL
  • Double Circular Linked List (CDLL)
  • Time Complexity of CDLL
  • SLL vs CSLL vs DLL vs CDLL
  • A Memory-efficient Doubly Linked List
  • Unrolled Linked Lists
  • Skip Lists
  • Applications
  • Practice Questions
  • Stacks
    • Definition and application.
    • Stack ADT.
    • Array Representation.
    • Linked Representation.
    • When to use or avoid stack.
    • Practice Questions.
  • Queues
    • What and why of queue
    • Queue ADT
    • Array Representation
    • Linked Representation
    • Array vs Linked list implementation
    • Applications
    • Practice Questions.
  • Hashing
    • Why and what of Hashing
    • hashtable ADT
    • Components of hashing
    • Hash Functions
    • hash tables
    • Load factor
    • What is collision
    • Collision resolve techniques
    • How hashing gets O(1) complexity
    • Bloom filters
    • Hashing compared to other DS
    • Applications
  • Binary Search Tree(BST)
    • Why and what of BST
    • Create, search, traverse, insert delete
    • Practice Questions.
  • AVL Tree
    • What and why of AVL tree
    • Common operations
    • LL,LR,RR conditions
    • Practice Questions
  • Priorioty Queues and Heaps
    • What is Priority Queue
    • PQ ADT
    • PQ Implementations
    • PQ Applications
    • binary heaps: max and min
    • heaps and STL
    • Leftist trees
    • Applications
    • Practice Questions
  • Trie
    • Introduction
    • Operations
    • Practice Questions
  • Searching and Sorting
    • What and why of searching
    • Linear Search
    • Binary Search
    • What and why of sorting
    • Types and terminologies
    • Bubble sort
    • Selection sort
    • Insertion sort
    • Shell sort
    • Merge sort
    • heap sort
    • Quick sort
    • Tree sort
    • Comparison of sorting techniques
    • Linear sorting algorithms
    • counting sort
    • bucket sort
    • radix sort
    • topological sort
    • External sorting
    • Practice Questions
  • Graphs
    • What and why of graphs
    • terminologies and types
    • graph representation in code
    • BFS
    • DFS
    • BFS vs DFS
    • Topological sort
    • Shortest path algo
    • Minimum spanning tree
  • Disjoint Set
    • Introduction
    • Equivalence Relations and Equivalence Classes
    • Disjoint Sets ADT
    • Applications
    • Tradeoffs in Implementing Disjoint Sets ADT
    • Fast UNION Implementation (Slow FIND)
    • Fast UNION Implementations (Quick FIND)
    • Practice Questions


Module 03 – ALGORITHMS

  • Magic Framework
  • Greedy Algorithm
  • Divide and conquer
  • Dynamic programming
  • String based Algorithms


Module 04 – Placement Preparation

  • 100 MCQ Practices.
  • 30 Competitive Questions Discussion.
  • 50 Interview Questions.
  • 2 full-fledged technical mock tests.
General Information
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