VEL TECH HIGH TECH

Dr. RANGARAJAN Dr. SAKUNTHALA ENGINEERING COLLEGE

An Autonomous Institution

Approved by AICTE, New Delhi | Affiliated to Anna University, Chennai

MINUTES OF MEETING

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

DATE: 21.10.2022                                                                TIME: 10.30 AM– 11.00 AM

The board of study meeting was held virtually using Google meet platform to finalise the B.Tech. – Artificial Intelligence and Data Science Curriculum for Semester I to VIII and the Syllabi for the departmental courses offered in Semester IV and V.

The following members were present during the Board of Study meeting.

1. Dr. E. Kamalanaban/ Principal       
2. Dr. V.R. Ravi / Dean-Academics
3. Mr.R.Karthikeyan / HOD/AI&DS– BoS Chairman
4. Dr.M.Lakshmi / Professor, SRM Institute of Science and Technology  –

Subject Expert 1

5. Dr.A.Kannan / Senior Professor, VIT , Chennai – Subject Expert 2
6. Dr. P.Kalyani / Professor, IRTT VASAVI COLLEGE - Anna University Nominee
7. Mr. Nagendra Kumar Kandaluri / Senior Manager ,Oracle India P.ltd,–

Industry Expert

8. Mr.Rajesh Gunalan / Senior Software Engineer, MasterCard International,  USA– Meritorious Alumni
9. Mrs. R. Veerasundari /Assistant Professor- AI&DS(Member)
10. Mrs. M.J.T.Vasanthapriya/ Assistant Professor- AI&DS(Member)
11. Ms. P. Sivaganga/ Assistant Professor- AI&DS(Member)
12. Mrs. K. Sudharani/ Assistant Professor- AI&DS(Member)
13. Mrs. J. Elavarasi/ Assistant Professor- AI&DS(Member)
14. Mrs. K. Gowthami/ Assistant Professor- AI&DS(Member)
15. Ms. M. Selvavathi/ Assistant Professor- AI&DS(Member)
16. Mrs .R. Saranya/ Assistant Professor- AI&DS(Member)

Minutes of Meeting

• Dr. E. Kamalanaban, Principal, Vel Tech High Tech, Welcomed the BoS Committee Members and introduced the Subject Experts, Industrial Expert and Meritorious Alumni in the meet.
• The meet was then taken forwarded by Dr. V. R. Ravi, Dean Academics, who delivered the institutional profile and invited the BoS Chairman, Mr.R.Karthikeyan, Head – Department of AI&DS to propose the AI&DS Curriculum and syllabi to Experts.
• The AI&DS BoS Chairman and Head, Department of AI&DS - Mr.R.Karthikeyan presented the salient features of proposed AI&DS curriculum R2021, Syllabi for the departmental courses offered in Semester IV and V in detail for the Experts suggestions.

• During the presentation, the Experts had suggested the following listed corrections for the improvement of curriculum / syllabi and upon completion the experts appreciated the proposed curriculum / syllabi.

B.Tech – AI&DS Proposed Curriculum R2021

• Subject Expert 1:
• Separate Data Structure and Algorithm using Python as Data structure and  Design and Analysis of Algorithm in Semester II
• Do not use the Package name and Tool name in the curriculum.
• Include core subject as computer Architecture, Software Engineering, Computer Network, Operating System
• Include Data Warehousing and Data Mining
• Include Deep Learning using Python in semester VII
• Subject Expert 2:
• Separate Data Structure and Algorithm using Python as Data structure and  Design and Analysis of Algorithm in Semester II
• Do not use the Package name and Tool name in the curriculum.
• Include Deep Learning Using R THEORY and combine Python and R in laboratory
• Include Image Processing subject
• Use Programming Languages for AI/ Soft Computing   instead of Machine Learning with R in SEM V
• Include Natural Language Processing / Reinforcement engineering exclude Medical AI in semester VI
• Include Data Warehousing and Data Mining
• Include Deep Learning using Python in semester VII
• Include core subject as computer Architecture, Software Engineering, Computer Network, Operating System
• Include R Programming as 1 Credit Course  or make it an Integrated Course.
• Change the subject name for Expert System as Knowledge Engineering.
• Change the Subject name for Medical Applications for AI as Spam Intelligence
• Change the subject name for Neural Networks as Reinforcement Learning.
• Conduct the coding sessions for students like Hackathon, Code Platform and Master coding.
• Provide credit for Placement and Training
• AnnaUniversity Nominee:
• Modify the Subject Name Machine Learning Techniques instead of Machine Learning using Python in Semester IV
• Make MoU with recommended companies
• Industry Expert:
• The proposed curriculum is appropriate and the same was appreciated and include Internship and NTPL Courses
• Meritorious Alumni:
• The curriculum presented by the chairman is promising. Project and mini project should be separate.
• Include more internships and Projects for students
• Collect the list of AI Related Companies for Internships.
• Advise the students to register for  the online course from NPTEL, Coursera and edX etc.,

B.Tech – AIDS Proposed Syllabi - Semester IV & Semester V

• Subject Expert 1:
  • In Machine Learning Techniques lab syllabus instead of SVM, include Regression Analysis Experiment.
• Subject Expert 2:
  • No SQL content  should be included in Data Engineering in unit II.
  • Fundamentals of cloud warehousing content must be added in unit III.
  • Need to mention year and edition of text book.
• Anna University Nominee:
  •   Include sustainable development goal in technical seminar and mini project.
• Industry Expert
  • Propositional logic and Predicate logic contents should be included as unit II and UNIT III in Knowledge Engineering.
  • ontology should be covered in unit V in Knowledge Engineering.
• Meritorious Alumni:
  • suggested to change the subject title of Programming languages for AI  to Machine Learning in R.            

About the Department

The Department of Artificial Intelligence and Data Science owes its inception and its growth to its present state to the magnanimity and vision of our founder Chairman. This department was started in the year 2020with an intake of 60 students and later the Intake is increased to 120 during the academic year 2022-2023.Artificial Intelligence and Data Science is an Undergraduate Programme with advanced learning solutions imparting knowledge of advanced innovations like Artificial Intelligence, Data Science, Machine Learning and Deep Learning.

The Department as highly dedicated faculty members from various specialization of Computer science and engineering and Equipped with well advanced laboratories for handling many real time applications using Python, Java, etc.

This specialized course is specially designed to enable students to build intelligent machines, software or applications with a cutting edge combination of machine learning, Analytics and Visualization Technologies. The department regularly organizes workshops, symposia and conferences in recent trending areas for the benefits of the students, researchers and Industrialists.

Head of the Department: Dr.Vijayalakshmi K

Dr.K.Vijayalakshmi

Head of the Department

Test

LABORATORY DETAILS:

Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. It is a specialised branch that deals with the development of data-driven solutions, data visualization tools and techniques to analyse big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems.

A Latest High Configured Data Science Laboratory Equipped With the following specification.

S.No.	Lab. Name	Lab. Incharge	Description	View of laboratory
1	Machine learning laboratory	Mrs.M.J.T.Vasanthapriya	To understand the need for machine learning for various problem solving. To acquire the knowledge of various supervised semi- supervised and unsupervised learning algorithms in machine learning. To design appropriate machine learning algorithms for problem solving.
2	Operating Systems laboratory	Mrs.J.Elavarasi	To understand the basics of Unix command and shell programming. To implement various CPU scheduling algorithms. To implement Deadlock Avoidance and Deadlock Detection Algorithms To implement Page Replacement Algorithms To implement various memory allocation methods. To be familiar with File Organization and File Allocation Strategies.
3	Web Technology laboratory	Mrs.K.Sudharani	To understand about client-server communication and protocols used during communication. To design interactive web pages using Scripting languages. To learn server-side programming using servlets and JSP. To develop web pages using XML/XSLT.
4	Artificial Intelligence Laboratory	Dr.R.Balakrishna	To impart concepts of the Artificial Intelligence. To learn the issues and rules of knowledge representation. To study about the knowledge representation for Reasoning. To provide wide knowledge about various learning algorithms. To know about various applications of AI.