ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

ABOUT THE DEPARTMENT

The Department of Artificial Intelligence and Data Science is established in the year 2020 with excellence in imparting quality education to the students. The Department provides well equipped laboratories and multi-model teaching facilities. The Department has highly qualified faculty members to transform young aspirants to a an Artificial Intelligence Expert in the due Course.

VISION OF THE DEPARTMENT

To promote centre of excellence through effectual Teaching and Learning, imparting the contemporary knowledge centric education through innovative research in multidisciplinary fields.

MISSION OF THE DEPARTMENT

To impart quality technical skills through practicing, knowledge updating in recent technology and produce professionals with multidisciplinary and leadership skills.

To promote innovative thinking for design and development of software products of varying complexity with intelligence to fulfil the global standards and demands.

To inculcate professional ethics among the graduates and to adapt the changing technologies through lifelong learning.

PROGRAMME EDUCATIONAL OBJECTIVES (PEO)

PEOs	PROGRAMME EDUCATIONAL OBJECTIVES
PEO1	Train the graduates with the potential of strong knowledge in the respective field and to create innovative multidisciplinary solutions for challenges in the society.
PEO2	Groom the engineers to understand, analyse different nature of data and use Machine Learning techniques to develop software systems with varying complexity for data intensive applications.
PEO3	To practice professionalism among the graduates and reflect good leadership skills with ethical standards and continued professional development through lifelong learning.

PROGRAMME OUTCOMES (POS)

Graduates of the 4-year B.Tech-Artificial Intellience and Data Science Programme will:

POs	PROGRAMME OUTCOMES
PO1	Engineering Knowledge: Apply the knowledge of mathematics, science, Engineering fundamentals and an Engineering specialization to the solution of complex Engineering problems.
PO2	Problem Analysis: Identify, formulate, review research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of Mathematics, Natural Sciences, and Engineering sciences.
PO3	Design / Development of solutions: Design solutions for complex Engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4	Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5	Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex Engineering activities with an understanding of the limitations.
PO6	The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional Engineering practice./td>
PO7	Environment and Sustainability: Understand the impact of the professional Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.
PO9	Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10	Communication: Communicate effectively on complex engineering activities with the Engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11	Project Management and Finance: Demonstrate knowledge and understanding of the Engineering management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12	Life-Long Learning: Recognize the need for and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

PROGRAMME SPECIFIC OUTCOMES (PSO)

PSOs	PROGRAMME SPECIFIC OUTCOMES
PSO1	To impart theoretical knowledge in the respective field along with recent industrial tools and techniques to solve societal problems.
PSO2	Apply the core competency obtained in the field of Machine Learning for analysis, design and development of computing systems for multi-disciplinary problems.
PSO3	Acquire knowledge in the field of intelligence, deep learning and develop software solutions for security and analytics of large volume of data.

PROGRAM OFFERED:

B.E (Artificial Intelligence and Data Science)

Intake: 120

AI&DS R-19: VTMT Syllabus (Applicable for batches admitted from 2019-2020)

FACULTY PROFILE

S.No	Name of the Faculty	Designation
1	Dr.IMMANUVEL AROKIA JAMES	Associate Professor
2	Ms.VINITHA BABY P	Assistant Professor
3	Ms.ARTHI P M	Assistant Professor
4	Ms.ANITHA T	Assistant Professor
5	Ms.DHIVYA D	Assistant Professor
6	Ms.CHANDRA KALA R	Assistant Professor
7	Ms.SWETHA M	Assistant Professor
8	Ms.MOHANA M	Assistant Professor
9	Ms.SOMSUBHRA SAHA	Assistant Professor
10	Ms.CINDHAMANI J	Assistant Professor
11	Mr.UDHAYASHANKAR S	Assistant Professor
12	Mr.PAVUNRAJ D	Assistant Professor
13	Ms.DAISY MERINA	Assistant Professor
14	Ms.ABITHA R	Assistant Professor
15	Mr.MATHAN KUMAR A	Assistant Professor
16	Ms.JAYALAKSHMI J	Assistant Professor
17	Ms.CHITRA J	Assistant Professor

STAFF ROOMS

LABORATORIES

CLASS ROOMS

STUDENT ACHIEVEMENTS
S.No	Academic Year
1	2022 - 2023
2	2021 - 2022
3	2020 - 2021
4	2019 - 2020
5	2018 - 2019

2023 - 2024
S.No	DATE	TOPIC	RESOURCE PERSON
1	08.08.2023	Business Model Canvas	Ms.M.Felisiya, Assistant Professor, Vel Tech University
2	26.08.2023	Artifical Intelligence and Computer Vision Principals and Application	Dr. V.Dilip Kumar, Assistant Professor, Vel Tech University
3	06.10.2023	Cyber Security and its Applications	Dr. T.Kamaleshwar, Assistant Professor, Vel Tech University

2022 - 2023
S.No	DATE	TOPIC	RESOURCE PERSON
1	05.08.2022	Strategies required for opening a new venture	Ms.Sapna,software designer, Alstom,Banglore
2	16.08.2022	Business model canvas	Mr.Shaik Waseem,SR.Entrepreneur educator, Wadhwani Foundation
3	20.08.2022	World Environmendal Day	Ms.V.Karthiga, Assistant Professor, S.A. Engineering college
4	30.9.2022	Internet of Things	Mr.B. Manikandan, Assistant Professor, Dept of ECE, Anna University, BIT campus, Chennai
5	02.12.2022	World Pollution Day	Mr.A.Kathiravan, Assistant Professor, Dept of Civil, Vel Tech Multi Tech

2023 - 2024
S.No	DATE OF VISIT	YEAR	NAME OF THE INDUSTRY	ADDRESS
1	27.10.2023	III	National Atmospheric Researcg Lab	Tirupathi

2022 - 2023
S.No	DATE OF VISIT	YEAR	NAME OF THE INDUSTRY	ADDRESS
1	24.09.2022	III	AAHA-Solutions	Pondicherry
2	30.11.2022	II	Bharat Sanchar Nigam Limited	Meenambakam

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