Study material
Engineering
Computer Engineering
Information Technology
Electrical Engineering
Civil Engineering
Mechanical Engineering
Electronics and Communications
Electronics and Telecommunication
Electrical and Electronics
B.Com
B.A
BBA
BAF
BMS
New Test BE-Btech
Demo BE-Btech
Prod BE-BTech
Blog
Log in
Become a data analyst in the next 4 months and kickstart your career.
100% placement assistance.
Start your Analytics journey with our free
Python course.
Explore Now
Home
Universities
Jharkhand University of Technology, Jharkhand
Electrical Engineering
Data Structures And Algorithms
Jharkhand University of Technology, Jharkhand, Electrical Engineering Semester 4, Data Structures And Algorithms Syllabus
Data Structures And Algorithms Lecture notes
|
Videos
|
Free pdf Download
|
Previous years solved question papers
|
MCQs
|
Question Banks
|
Syllabus
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free
Unit - 1 Basic Concepts And Notations
Unit 1
Basic concepts and notations
1.1 Data structures and data structure operations
1.2 Complexity Analysis Mathematical notation and functions
1.3 Algorithmic complexity and time space trade off Big O Notation
1.4 The best average worst cases analysis of various algorithms
1.5 Arrays Linear Multidimensional Arrays
1.6 Representation traversal
1.7 Sorting algorithms Bubble sort
1.8 Selection sort
1.9 Insertion sort
1.10 Merge sort and Quicksort
1.11 Counting Sort
1.12 Linear search and Binary search on sorted arrays
Unit 1
Basic concepts and notations
1.1 Data structures and data structure operations
1.2 Complexity Analysis Mathematical notation and functions
1.3 Algorithmic complexity and time space trade off Big O Notation
1.4 The best average worst cases analysis of various algorithms
1.5 Arrays Linear Multidimensional Arrays
1.6 Representation traversal
1.7 Sorting algorithms Bubble sort
1.8 Selection sort
1.9 Insertion sort
1.10 Merge sort and Quicksort
1.11 Counting Sort
1.12 Linear search and Binary search on sorted arrays
Unit - 2 Abstract Data Types (ADTs) Stack
Unit 2
Abstract Data Types ADTs Stack
2.1 Abstract Data Types ADTs Stack Push Pop
2.2 Stack representation using array and linked list
2.3 Applications of Stack
2.4 Recursion
2.5 Queue Representation using array and linked list
2.6 Insertion and deletion operations
2.7 Circular queue
2.8 Dequeue
2.9 Priority queue
2.10 Linked Lists their types Single Double Circular linked lists
2.11 Operations on Varieties of Linked Lists Search and Update with applications
Unit 2
Abstract Data Types ADTs Stack
2.1 Abstract Data Types ADTs Stack Push Pop
2.2 Stack representation using array and linked list
2.3 Applications of Stack
2.4 Recursion
2.5 Queue Representation using array and linked list
2.6 Insertion and deletion operations
2.7 Circular queue
2.8 Dequeue
2.9 Priority queue
2.10 Linked Lists their types Single Double Circular linked lists
2.11 Operations on Varieties of Linked Lists Search and Update with applications
Unit - 3 Introduction To Trees
Unit 3
Introduction to Trees
3.1 Introduction to Trees
3.2 Binary tree definitions and properties
3.3 Binary tree traversal algorithms with and without recursion
3.4 Binary Search Tree creation insertion and deletion operations
3.5 Threaded tree One way and Two way
3.6 AVL tree balancing
3.7 Btree
Unit 3
Introduction to Trees
3.1 Introduction to Trees
3.2 Binary tree definitions and properties
3.3 Binary tree traversal algorithms with and without recursion
3.4 Binary Search Tree creation insertion and deletion operations
3.5 Threaded tree One way and Two way
3.6 AVL tree balancing
3.7 Btree
Unit - 4 Graph Algorithms
Unit 4
Graph Algorithms
4.1 Graph Algorithms Graphs and their Representations
4.2 Graph Traversal Techniques Breadth First Search BFS and Depth First Search DFS
4.3 Applications of BFS and DFS
4.4 Minimum Spanning Trees MST
4.5 Prim’s and Kruskal’s algorithms for MST
4.6 Connected Components
4.7 Dijkstra’s Algorithm for Single Source Shortest Paths
4.8 Floydd’s Algorithm for AllPairs Shortest Paths Problem
Unit 4
Graph Algorithms
4.1 Graph Algorithms Graphs and their Representations
4.2 Graph Traversal Techniques Breadth First Search BFS and Depth First Search DFS
4.3 Applications of BFS and DFS
4.4 Minimum Spanning Trees MST
4.5 Prim’s and Kruskal’s algorithms for MST
4.6 Connected Components
4.7 Dijkstra’s Algorithm for Single Source Shortest Paths
4.8 Floydd’s Algorithm for AllPairs Shortest Paths Problem
Unit - 5 Hashing Techniques
Unit 5
Hashing techniques
5.1 Hashing techniques
5.2 Hash function
5.3 Address calculation techniques common hashing functions Collision resolution
5.4 Linear probing
5.5 Quadratic probing
5.6 Double hashing
5.7 Bucket addressing
5.8 Rehashing
Unit 5
Hashing techniques
5.1 Hashing techniques
5.2 Hash function
5.3 Address calculation techniques common hashing functions Collision resolution
5.4 Linear probing
5.5 Quadratic probing
5.6 Double hashing
5.7 Bucket addressing
5.8 Rehashing
Download EE Sem 4 syllabus pdf
Get access to 100s of MCQs, Question banks, notes and videos as per your syllabus.
Try Now for free
Other Subjects of Semester-2
Analog electronics and circuits
Digital electronics and logic design
Popular posts
What is race around condition
Top 10 free online resources to learn coding
Top 5 websites for academic research
Top 5 interview advice for engineers
Top 10 engineering youtube channels for engineers
What is convolution theorem
Share
Link Copied
More than
1 Million
students use Goseeko! Join them to feel the power of smart learning.
Try For Free
Spot anything incorrect?
Contact us