data structure

1. Presented by: ANIK BHATTACHARYA
Roll No.: 2005849
MASTERING DATA
STRUCTURES AND
ALGORITHMS
KIIT UNIVERSITY

2. ABOUT THIS
COURSE
Abdul Bari is the Instructor of this course, He has been
teaching this course to all students for a long period of
time, he knows the pulse of students very well, he knows
how to present the topic so that it’s easy to grasp for
students.
TOOLS:
Visual Studio Code

3. INTRODUCTION
Data Structures and Algorithms, is a fundamental
subject in computer science. It focuses on organizing
data efficiently using data structures and designing
step-by-step procedures called algorithms to solve
computational problems.
DSA helps in optimizing software performance,
memory usage, and scalability. It is crucial for
software development, coding interviews, and
competitive programming

4. Classification of Data Structure

5. ARRAY
An array is a fundamental data structure used in
computer science to store a collection of elements of
the same type. It provides a contiguous block of memory
where elements are stored in a sequential manner.
The main advantage of arrays is their constant-time
access to any element. Given an index, the element can
be directly accessed using simple pointer arithmetic.

6. A queue is a linear data structure that follows the "first-in,
first-out" (FIFO) principle. It represents a collection of
elements in which new elements are added at the rear
(enqueue) and existing elements are removed from the front
(dequeue).
Advantage of Queues that it maintain the order of elements
based on their arrival time, making them suitable for
scenarios that require a "first-in, first-out" (FIFO) processing
approach also provide efficient operations for adding
elements to the rear and removing elements from the front,
making them ideal for managing tasks or requests in a
sequential manner.
QUEUE

7. A stack is a fundamental data structure in computer science that
follows the "last-in, first-out" (LIFO) principle. It represents a
collection of elements in which new elements are added at the top
(push) and existing elements are removed from the top (pop).
Stacks offer simplicity, efficiency, and convenient access to the
most recently added elements. They provide an intuitive and
efficient way to handle sequential data processing, making them an
essential tool in many programming tasks.
STACK

8. A linked list is a data structure commonly used in computer
science to store and organize data. It consists of a sequence of
nodes, where each node contains two components: the data itself
and a reference (or link) to the next node in the sequence.
There are various types of linked lists, including singly linked
lists, doubly linked lists, and circular linked lists.
The main advantage of linked lists is their ability to efficiently
insert and delete elements at any position, unlike arrays that
require shifting elements.
LINKED LIST

9. A tree is a hierarchical data structure composed of nodes
that are connected by edges. It represents a branching
structure where each node can have zero or more child
nodes, except for the root node that has no parent.
Trees support various operations, including traversing the
tree (pre-order, in-order, and post-order), searching for a
specific node or value, inserting new nodes, deleting nodes,
and performing tree-related algorithms such as tree
balancing or path finding.
TREE

10. A graph is a non-linear data structure composed of nodes
(vertices) connected by edges. It is used to represent
relationships between objects or entities. Graphs consist of
two main components: nodes and edges.
Graphs have a wide range of applications in various
domains, including computer science, social networks,
transportation networks, recommendation systems, and
data analysis. They are used to model and solve problems
that involve relationships, connectivity, paths, and
optimizations.
GRAPH
GRAPH

11. CONCLUSION
In conclusion, data structures and algorithms are
fundamental components of computer science and
software development. Data structures provide
efficient ways to organize, store, and manipulate
data, while algorithms define step-by-step
procedures to solve specific problems or perform
computations.
The choice of data structure and algorithm depends
on the problem at hand and the desired trade-offs
between time efficiency, space usage, and simplicity.
It requires careful analysis and consideration of the
problem's requirements and constraints.