Data Structures Lab detailed syllabus for Artificial Intelligence & Machine Learning (AM) for 2021 revision curriculum has been taken from the SITTTRs official website and presented for the Artificial Intelligence & Machine Learning students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Artificial Intelligence & Machine Learning 3rd Sem scheme and its subjects, do visit Artificial Intelligence & Machine Learning (AM) 3rd Sem 2021 revision scheme. The detailed syllabus of data structures lab is as follows.
Course Objectives:
- Students will develop skills to efficiently implement linear and nonlinear data structures.
Course Outcomes:
On completion of the course, the student will be able to:
- Demonstrate the concept of Pointers, Files and Structures in C
- Make use of linear data structures to solve the problems
- Implement searching and sorting algorithms
- Make use of non linear data structures to solve the problems
Module 1:
- Implement C programs to demonstrate Pointers.
- Develop C programs to demonstrate the concept of Structures.
- Develop C programs to demonstrate the concept of Files.
- Demonstrate Array based sequences & operations
Module 2:
- Implement Stack using Array
- Implement Queue using Array
- Develop C program for Infix to Postfix conversion
- Implement Linked List operations – insertion, deletion, searching, etc. in C
Module 3:
- Implement Linear Search and Binary Search
- Implement Bubble Sort
- Implement Insertion sort
- Implement Quick sort
Module 4:
- Develop a program to create a Binary Search Tree
- Develop programs to perform the various traversals in a Binary Search Tree.
- Develop program to implement graph
- Implement the Depth first search Traversal / Breadth first search Traversal of graph
Suggested Open Ended Experiments
(Not for End Semester Examination but compulsory to be included in Continuous Internal Evaluation. Students can do open ended experiments as a group of 2-3. There is no duplication in experiments between groups. )
- Implement traffic light software (Each light gets on one by one after a specific time interval.)
- Shortest path between two nodes in a graph
- Implement organizational chart using tree
Text Books:
- Data Structures using C by E. Balaguruswamy – Tata McGraw-Hill Education
- Data Structures using C by Aaron M Tenenbaum – Pearson Education India
- Reema Thareja, “Data and File Structures using C”, Oxford University Press.
- Jean-Paul Tremblay and Paul G. Sorenson, “An Introduction to Data Structures with Applications”,Tata McGraw Hill.
Online Resources
- https://www.cet.edu.in/noticefiles/280_DS%20Complete.pdf
- https://www.tutorialspoint.com/data_structures_algorithms/index.htm
- https://www.sanfoundry.com/c-programming-examples-data-structures/
- https://www.programiz.com/dsa
For detailed syllabus of all other subjects of Artificial Intelligence & Machine Learning (AM), 2021 revision curriculum do visit Artificial Intelligence & Machine Learning 3rd Sem subject syllabuses for 2021 revision.
To see the syllabus of all other branches of diploma 2021 revision curriculum do visit SITTTR diploma all branches syllabus..
To see the results of Artificial Intelligence & Machine Learning (AM) of diploma 2021 revision curriculum do visit SITTTR diploma Artificial Intelligence & Machine Learning (AM) results..
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