The document discusses a lecture on data structures and algorithms given on June 6, 2022 from 10:00-10:45 AM. It covers 5 units: arrays and sequential representations, trees and graphs, algorithms like heap sort and binary search, greedy methods and the knapsack problem, and backtracking techniques like the 8 queens problem. Key data structures discussed include arrays, stacks, queues, linked lists, trees, and graphs.

1. DEPARTMENT OF
INFORMATION TECHNOLOGY

2. DATE: 06/06/2022
TIME: 10.00 AM to 10.45 AM
SUBJECT: DATA STRUCTURES & ALGORITHMS

3. Dr.G.AMBIKA MCA.,M.Phil., Ph.D.,
Assistant professor,
Department of Information Technology,
Bon secours college for women,
Thanjavur.

4. Unit I
Arrays and sequential representations – ordered lists – Stacks and
Queues – Evaluation of Expressions – Multiple Stacks and Queues –
Singly Linked List – Linked Stacks and queues – Polynomial
addition.
Unit II
Trees – Binary tree representations – Tree Traversal – Threaded
Binary Trees – Binary Tree Representation of Trees – Graphs and
Representations – Traversals, Connected Components and Spanning
Trees – Shortest Paths and Transitive closure – Activity Networks –
Topological Sort and Critical Paths.

5. Unit III
Algorithms – Priority Queues - Heaps – Heap Sort – Merge Sort – Quick
Sort – Binary Search – Finding the Maximum and Minimum.
Unit IV
Greedy Method : The General Method – Optimal Storage on Tapes –
Knapsack Problem – Job Sequencing with Deadlines – Optimal
Merge Patterns.
Unit V
Back tracking: The General Method – The 8-Queens Problem – Sum
of Subsets – Graph Coloring.

6. Text Books:
1. Fundamentals of Data Structure – Ellis Horowiz, SartajSahni,
Galgotia Publications, 2008
2. Computer Algorithms – Ellis Horowiz, SartajSahni and
Sanguthevar Rajasekaran, University Press, 2008.
Reference Book:
1. Data Structures – Seymour Lipschutz, Tata Mcgraw Hill,
Schaum‘s Outline Series,

7. Data:
 Digital Account of Technology Advancement
 Raw facts
Ex: Name, weight,price…
Information:
 Processed and organized data is called Information.

8.  Data structure refers to an organized way of arrangement
of data related to each other in the memory. Which allows the
program to handle in an efficient way.
 Data structure = Data organization + allowed operations.

10. Linear Data Structure:
A Data structure is said to be linear if elements or items
form a sequence one after another.
Non-Linear Data Structure:
Each element is attached to one or more elements creating
a relationship among the items

11. Array:
An array is a group of same type of data items that are
referred by a common name.
Each item stored in an array is called an element.

12.  Stack is a linear data structure.
 Stack is an ordered collection and organization of data item
could be inserted and deleted from the end.
 All items may be inserted and deleted only from the top of the
stack.

13.  Stack works on the concept of LIFO
 LIFO-Last In First OUT.
 Stacks are very commonly implemented using arrays.

16.  Queue is a ordered list which all items are inserted at one end
the rear and retrieved from the other end the front.
 Queue work on the concept of FIFO
 FIFO-First in first out.

20.  It is a linear data structure.
 Linked list is a chain of structure in which each structure called
node consist of data as well as pointers.
 The insertion and deletion of data item is at any position in the
list. The entry point of linked list is called head and end point
is called tail

22. Single linked list
Double linked list
Circular linked list

24. Tree is a nonlinear data structure used to
represent a data containing a hierarchical
relationship between the elements.
Types of tree:
Balanced binary tree
Unbalanced binary tree.