Data Structure - AKTU - B Tech CSE

About Course

This course is specifically designed for B.Tech Computer Science students under Dr. A.P.J. Abdul Kalam Technical University (AKTU). It offers a comprehensive collection of previous year Data Structure semester exam questions along with detailed, step-by-step solutions.

Curated and explained by highly skilled professors, this course aims to help students understand core data structure concepts while focusing on scoring well in university exams. Whether you’re revising for an upcoming test or want to practice important problems, this course provides the exact questions that have been asked in the past — making it an ideal resource for last-minute preparation.

What you’ll get:

Access to multiple years of AKTU Data Structure exam papers
Expert-written solutions for each question
Insights into frequently asked concepts and important topics
A focused approach to help you score high in your semester exams

Get ready to boost your confidence and performance with real exam-level practice and guidance.

Course Content

Data Structure Unit 1 – Introduction to Data Structure
This unit introduces the fundamental concepts and importance of data structures in computer science. It covers: Definition and Need of Data Structures Understanding what data structures are and why they are essential for writing efficient programs. Types of Data Structures An overview of basic data structure types including: Linear (Arrays, Linked Lists, Stacks, Queues) Non-linear (Trees, Graphs) Abstract Data Types (ADT) Concepts of abstraction and how ADTs represent data structures like lists, stacks, and queues. Operations on Data Structures Basic operations such as insertion, deletion, traversal, searching, and sorting. Complexity Analysis Time and space complexity, Big O notation, and efficiency of algorithms with respect to data structure selection.

Q1). What do you mean by data structure? Describe about its need and types.

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Q2). Explain primitive and non-primitive data structure.
Q3). Data type in C, Built-in and derived data type with examples.
Q4). What is the Algorithm? Criteria and Characteristics of Algorithm
Q5). Efficiency of an Algorithm with the help of examples
Q6). Space and Time Complexity of An Algorithm
Q7). How to Find the Complexity of an Algorithm with Example
Q8). Asymptotic Notations: Big Oh, Big Theta and Big Omega Notation
Q9). Abstract Data Type: Explanations, Examples and Advantage

Data Structure Unit 2 – Array and Linked Lists questions
This unit focuses on linear data structures, specifically arrays and linked lists, which form the foundation for more complex data organization and manipulation techniques. 🔹 Arrays Definition and Representation: One of the simplest data structures that stores elements of the same type in contiguous memory. Operations: Insertion, deletion, traversal, searching, and sorting. Types: One-dimensional and multi-dimensional arrays. Applications: Useful for static data storage, matrix representations, and implementing other data structures like stacks and queues. Limitations: Fixed size and expensive insertions/deletions. 🔹 Linked Lists Definition and Structure: A dynamic data structure where each node points to the next; allows efficient memory use. Types: Singly Linked List Doubly Linked List Circular Linked List Operations: Creating a list, inserting nodes (at beginning, middle, end), deleting nodes, and traversing the list. Comparison with Arrays: Linked lists offer dynamic sizing and efficient insert/delete operations but have higher memory overhead due to pointers.

Q1). Array with its type, explanation and example.
Q2). Explain the Single and Multidimensional Arrays with example.
Q3). What is row-major order? Explain with example.
Q4). What is column-major order? Explain with example.
Q5). Derivation of Index Formulae For 1-D, 2-D, 3-D and n-D Array
Q6). Write an algorithm to multiply two matrices and determine complexity of the algorithm.
Q7). Determine addressing formula to find the location of (i,j)th element of a m*n matrix stored in column-major order.
Q8). Consider the linear arrays AAA[5:50],BBB[-5:10] and CCC[1:8]
Q9). What is sparse matrices? Explain the representation of sparse matrix.
Q10). Explain the upper triangle and lower triangular sparse matrices. Suggest a space efficient representation for sparse matrices and determine the address determination formulas for it.
Q11). Write a note on Compaction, Overflow and Underflow in Array.

Data Structure Unit 3 – Searching and Sorting questions
This unit-specific course is designed to help B.Tech students from AKTU (Dr. A.P.J. Abdul Kalam Technical University) thoroughly understand and prepare for Searching and Sorting topics from the Data Structure subject. We’ve compiled and solved previous year semester exam questions asked in Unit 3 from various AKTU-affiliated colleges, making it easier for students to focus on the most important and frequently asked concepts. Whether you're preparing for your mid-semester, end-semester exams, or simply looking to strengthen your grasp on searching and sorting algorithms, this course provides you with accurate, concise, and exam-ready answers. Each answer is written in simple language, suitable for quick understanding and effective revision. 📚 What You’ll Learn: Concept and implementation of Linear Search and Binary Search Algorithm design, time complexity, and comparison between different search methods Detailed explanation and implementation of Sorting Techniques: Bubble Sort Selection Sort Insertion Sort Merge Sort Quick Sort Dry run and step-by-step illustration of sorting algorithms Time and space complexity analysis Solved AKTU questions from previous years – with proper explanation and diagrams wherever needed 🎯 Who This Course is For: B.Tech students from AKTU who want to prepare Unit 3 efficiently Students looking for solved previous year papers for scoring better in exams Learners who want a clear and easy explanation of sorting and searching algorithms Anyone needing a unit-wise revision resource for Data Structure

Q1). Write a note on searching in data structure.
Q2). Write a algorithm for linear search technique.
Q3). Write a algorithm for binary search technique.
Q4). Explain binary search tree.
Q5). Explain binary search tree and its operations. Make a binary search tree for the following sequence of numbers, show all steps: 45,32,90,34,68,72,15,24,30,66,11,50,10
Q6). What are various operations performed in BST?
Q7). What do you mean by hashing in data structure? Write the types of Hashing.
Q8). Discuss the advantages and disadvantages of hashing over other searching technique.
Q9). What is collision in Data structure? Explain different types of collision resolution technique.
Q10). Explain linear probing collision resolution technique with explanation.
Q11). Explain insertion sort. Write insertion sort algorithm and program.
Q12). Explain selection sort. Write selection sort algorithm and program.
Q13). Explain bubble sort. Write bubble sort algorithm and program.
Q14). Explain quick sort. Write quick sort algorithm and program.
Q15). Explain heap sort. Write heap sort algorithm and program.
Q16). Explain radix sort. Write radix sort algorithm and program.
Q17). Explain binary search tree.
Q18). Explain binary search tree and its operations. Make a binary search tree for the following sequence of numbers, show all steps: 45,32,90,34,68,72,15,24,30,66,11,50,10
Q19). What are various operations performed in BST?
Q20). Explain AVL tree. Explain the balancing methods and all rotations of AVL trees with an example.
Q21). Draw an AVL tree on following inputs, assume that tree is initially empty: 45,55,65,75,80,90,100,110,120,130,140,40,35,25,20,15,10,5.
Q22). Explain B-tree. Write down the steps for insertion operation in B-tree.

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About Course

Course Content

Q1). What do you mean by data structure? Describe about its need and types.

Q2). Explain primitive and non-primitive data structure.

Q3). Data type in C, Built-in and derived data type with examples.

Q4). What is the Algorithm? Criteria and Characteristics of Algorithm

Q5). Efficiency of an Algorithm with the help of examples

Q6). Space and Time Complexity of An Algorithm

Q7). How to Find the Complexity of an Algorithm with Example

Q8). Asymptotic Notations: Big Oh, Big Theta and Big Omega Notation

Q9). Abstract Data Type: Explanations, Examples and Advantage

Q1). Array with its type, explanation and example.

Q2). Explain the Single and Multidimensional Arrays with example.

Q3). What is row-major order? Explain with example.

Q4). What is column-major order? Explain with example.

Q5). Derivation of Index Formulae For 1-D, 2-D, 3-D and n-D Array

Q6). Write an algorithm to multiply two matrices and determine complexity of the algorithm.

Q7). Determine addressing formula to find the location of (i,j)th element of a m*n matrix stored in column-major order.

Q8). Consider the linear arrays AAA[5:50],BBB[-5:10] and CCC[1:8]

Q9). What is sparse matrices? Explain the representation of sparse matrix.

Q10). Explain the upper triangle and lower triangular sparse matrices. Suggest a space efficient representation for sparse matrices and determine the address determination formulas for it.

Q11). Write a note on Compaction, Overflow and Underflow in Array.

Q1). Write a note on searching in data structure.

Q2). Write a algorithm for linear search technique.

Q3). Write a algorithm for binary search technique.

Q4). Explain binary search tree.

Q5). Explain binary search tree and its operations. Make a binary search tree for the following sequence of numbers, show all steps: 45,32,90,34,68,72,15,24,30,66,11,50,10

Q6). What are various operations performed in BST?

Q7). What do you mean by hashing in data structure? Write the types of Hashing.

Q8). Discuss the advantages and disadvantages of hashing over other searching technique.

Q9). What is collision in Data structure? Explain different types of collision resolution technique.

Q10). Explain linear probing collision resolution technique with explanation.

Q11). Explain insertion sort. Write insertion sort algorithm and program.

Q12). Explain selection sort. Write selection sort algorithm and program.

Q13). Explain bubble sort. Write bubble sort algorithm and program.

Q14). Explain quick sort. Write quick sort algorithm and program.

Q15). Explain heap sort. Write heap sort algorithm and program.

Q16). Explain radix sort. Write radix sort algorithm and program.

Q17). Explain binary search tree.

Q18). Explain binary search tree and its operations. Make a binary search tree for the following sequence of numbers, show all steps: 45,32,90,34,68,72,15,24,30,66,11,50,10

Q19). What are various operations performed in BST?

Q20). Explain AVL tree. Explain the balancing methods and all rotations of AVL trees with an example.

Q21). Draw an AVL tree on following inputs, assume that tree is initially empty: 45,55,65,75,80,90,100,110,120,130,140,40,35,25,20,15,10,5.

Q22). Explain B-tree. Write down the steps for insertion operation in B-tree.

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