Data Structures and Algorithms MCQ Solving Techniques

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 a Quiz in every section, you can judge your performance. You will get the solutions of previous years' UGC NET, GATE, and 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 were also updated in this course. MCQs are also solved in a 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

This will help you to boost your preparation.

Who this course is for:

• Computer Science Students.
• Information Technology (IT) Students.
• GATE candidates.
• NTA UGC NET candidates.
• Scientist B Candidates.
• Scientific Assistant Candidates.
• Candidates who are appearing in Computer Science Examinations