Data Structures and Algorithms MCQ Solving Techniques_1

Data Structures and Algorithms MCQ Solving Techniques, available at $19.99, has an average rating of 5, with 32 lectures, 9 quizzes, based on 1 reviews, and has 10 subscribers.

You will learn about 100% Quick and Easy Shortcut tricks to solve Data Structure Questions in your UGC NET, GATE,Scientist B and Scientific Assistant Examination. Students become familiar with every Data Structures. Understand how to solve Data Structures related questions . Understand the mathematical concepts behind the Data Structures. Understand the working principle of Linear Data Structures like Stack, Queue and Linked List. Understand the Fundamentals of various Sorting like Bubble Sort, Insertion Sort,Merge Sort, Quick Sort,Heap Sort. Understand the Fundamentals of various Searching like Sequential Search and Binary Search. Helpful for nielit scientist b exam preparation. Covered gate exam syllabus. Helpful for NTA UGC NET candidates. This course is ideal for individuals who are Computer Science Students. or Information Technology (IT) Students. or GATE candidates. or NTA UGC NET candiadtes. or Scientist B Candidates. or Scientific Assistant Candidates. or Candidates who are appearing Computer Science Examinations It is particularly useful for Computer Science Students. or Information Technology (IT) Students. or GATE candidates. or NTA UGC NET candiadtes. or Scientist B Candidates. or Scientific Assistant Candidates. or Candidates who are appearing Computer Science Examinations.

Enroll now: Data Structures and Algorithms MCQ Solving Techniques

Summary

Title: Data Structures and Algorithms MCQ Solving Techniques

Price: $19.99

Average Rating: 5

Number of Lectures: 32

Number of Quizzes: 9

Number of Published Lectures: 32

Number of Published Quizzes: 9

Number of Curriculum Items: 41

Number of Published Curriculum Objects: 41

Original Price: ?7,500

Quality Status: approved

Status: Live

What You Will Learn

100% Quick and Easy Shortcut tricks to solve Data Structure Questions in your UGC NET, GATE,Scientist B and Scientific Assistant Examination.

Students become familiar with every Data Structures.

Understand how to solve Data Structures related questions .

Understand the mathematical concepts behind the Data Structures.

Understand the working principle of Linear Data Structures like Stack, Queue and Linked List.

Understand the Fundamentals of various Sorting like Bubble Sort, Insertion Sort,Merge Sort, Quick Sort,Heap Sort.

Understand the Fundamentals of various Searching like Sequential Search and Binary Search.

Helpful for nielit scientist b exam preparation.

Covered gate exam syllabus.

Helpful for NTA UGC NET candidates.

Who Should Attend

Computer Science Students.

Information Technology (IT) Students.

GATE candidates.

NTA UGC NET candiadtes.

Scientist B Candidates.

Scientific Assistant Candidates.

Candidates who are appearing Computer Science Examinations

Target Audiences

Computer Science Students.

Information Technology (IT) Students.

GATE candidates.

NTA UGC NET candiadtes.

Scientist B Candidates.

Scientific Assistant Candidates.

Candidates who are appearing Computer Science Examinations

Data Structures and Algorithms are essential concepts for any computer science student or software developer. However, mastering these concepts can be a challenging task, and many people struggle to learn them. That’s where shortcut tricks come in handy.

Shortcut tricks are quick and easy ways to solve complex problems, and they can be especially useful in the field of data structures and algorithms. With the right shortcuts, you can speed up your problem-solving abilities, improve your efficiency, and save valuable time.

In this day and age, where time is of the essence, learning data structure and algorithm shortcut tricks can be a game-changer. Not only will it help you to solve problems quickly and efficiently, but it will also give you an edge over others in a competitive job market. So, if you want to improve your problem-solving skills and become a more efficient developer, learning shortcut tricks for data structures and algorithms is a great way to start.

This course will be helpful for the candidates who are preparing for UGC NET, GATE, NIC, ISRO,DRDO Scientist B and Scientific Assistant Exam. Various shortcut tricks are discussed. You will find Quiz in every sections, you can judge your performance. You will get the solutions of previous years UGC NET, GATE, ISRO Scientist B Exams. Stack, Linked List, Sorting, Searching, Graph, Tree, Minimum Spanning Tree (MST), Graph Traversal algorithm BFS and DFS, Hashing and Introduction to algorithms lectures are uploaded. Several MCQs also updated in this course. MCQs also solved in shortcut manner. The topics are

Basic concepts of data representation: abstract and system defined types, primitive data structures Linear data structures and their sequential representation: array, stack, queue, circular queue, dequeue and their operations and applications Linear data structures and their linked representation: linear link lists, doubly linked lists, linked stack, linked queue and their operations and applications. Non Linear Data Structures I: Binary trees, binary search trees, representations and operations, thread representations, sequential representations, graphs and their representation. Searching Techniques- Linear, Binary, Interpolation Sorting Techniques-Insertion Sort, Bubble, Selection, Quick

Non Linear Data Structures II : Hashing, Files

Every This will help you to boost your preparation.

Course Curriculum

Chapter 1: Stack and Queue-PUSH and POP, Complexities, Infix Postfix Prefix

Lecture 1: Introduction to Stack

Lecture 2: Infix to Prefix Conversion

Lecture 3: Infix to Postfix Conversion.

Lecture 4: Prefix to Infix Conversion

Lecture 5: Postfix to Infix Conversion.

Lecture 6: PUSH and POP Algorithms and Discussion

Lecture 7: PUSH and POP related Questions

Lecture 8: Question related to Stack

Chapter 2: Linked List

Lecture 1: Insert node at Single Linked List

Lecture 2: Delete node from Single Linked List

Lecture 3: Traversing the Linked List

Lecture 4: Insert node at Doubly Linked List

Lecture 5: Delete Node from Doubly Linked List

Lecture 6: Questions related to Linked List

Chapter 3: Searching

Lecture 1: Linear Search

Lecture 2: Binary Search

Chapter 4: Sorting Algorithm

Lecture 1: Bubble Sort

Lecture 2: Insertion Sort

Lecture 3: Merge Sort

Lecture 4: Sorting MCQs

Chapter 5: Graph

Lecture 1: Introduction

Lecture 2: Graph MCQs

Chapter 6: Tree

Lecture 1: Tree

Lecture 2: Binary Search Tree

Lecture 3: Questions related to Graph and Tree

Chapter 7: Minimum Spanning Tree (MST)

Lecture 1: Kruskal Algorithm

Lecture 2: Prims Algorithm

Chapter 8: Graph Traversal- BFS and DFS

Lecture 1: BFS

Chapter 9: Hashing

Lecture 1: Hashing Introduction

Lecture 2: Collision Resolution by Linear Probing

Chapter 10: Introduction to Algorithms

Lecture 1: Introduction to Algorithms

Chapter 11: MCQs and Explanation

Lecture 1: Part 1

Instructors

Dr. Santanu Modak
Faculty Member of a College in WB, India since 2015

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