About the Department
Department of Artificial Intelligence and Data Science
B . Tech in Artificial Intelligence and Data Science that is a blend of Artificial Intelligence and Data Science designed to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods o f AI. This course enables the students to develop their skillset to do intelligent data analysis which is a key component in the emerging Data Science careers in IT field. AI technology enables software, apps, and machines to learn, think, and correct them selves the same way humans do. A large part of AI involves machine learning, which allows computers to understand and copy human behaviour by finding data patterns. Machine learning is the link that connects Data Science and AI. AI is the tool that helps data science get results and the solutions for specific problems.
Two numbers of well – equipped Hi – tech laboratories with 60 high end machines with internet connection , Well – structured class rooms and laboratories are provided to the students to carry out the experiments. The department has started with the intake of the 60 students in the year 2 020 . A highly qualified team of 3 Faculty members including 1 Doctorate and the Research Expertise in the areas of specialization are disseminated in the department to guide the students to excel in their academic.
The Department adheres the Objective of the Institution to promote the development and growth of True, Effective and Efficient ‘Engineering Professionals’, through adherence to the highest Standards of Academic Integrity and overall Ethical conduct, to inculcate sense of Individual responsibility and also to collectively participate in reinforcing and maintaining an Environment of ‘Honor, Trust and Standards’.
Vision, Mission, PEO, PO, PSO
Vision
To become a model for Artificial Intelligence with innovation and analysis for higher learning through various analytical knowledge, creative competent and dynamic technocrats; while remaining responsive to ethical, societal and environmental issues.
Mission
M1:To develop the students as an Artificial Intelligence designer and data analyst professionals in order to meet the global design challenges and entrepreneurs of International excellence as global leaders capable of contributing towards technological innovations, learning process, participation citizenship in their neighborhood and economic growth
M2: To transform value-based data science education to the students and groom them as leaders in the field of Artificial Intelligence and Data Science for the empowerment of society.
Programme Educational Objectives (PEO’s) :
- To afford the necessary background in the field of Artificial Intelligence and data Science to deal with engineering problems to excel as engineering professionals in industries.
- To improve the qualities like creativity, leadership, teamwork and skill thus contributing towards the growth and development of society
- To develop ability among students towards innovation and entrepreneurship that caters to the needs of Industry and society.
- To inculcate and attitude for life-long learning process through the use of Artificial Intelligence and Data Science sources.
- To prepare then to be innovative and ethical leaders, both in their chosen profession and in other activities.
Programme Outcomes (PO’s) :
After going through the four years of study, Bachelor of Technology in Artificial Intelligence and Data Science Graduates will exhibit ability to:
| PO# | Graduate Attribute | Programme Outcome |
|---|---|---|
| 1 | Engineering knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems. |
| 2 | Problem analysis | Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| 3 | 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 public health and safety, and cultural, societal, and environmental considerations. |
| 4 | 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 |
| 5 | Modern tool usage | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations. |
| 6 | 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 |
| 7 | 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. |
| 8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice |
| 9 | Individual and team work |
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings |
| 10 | Communication | Communicate effectively on complex engineering activities with the engineering community and with the 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 |
| 11 | Project management and finance | Demonstrate knowledge and understanding of the engineering and 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 |
| 12 | Life-long learning | Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change |
Program Specific Outcomes (PSO’s) :
After the completion of Bachelor of Technology in Artificial Intelligence and Data Science programme the student will have following Program specific outcomes
Design and develop secured database applications with data analytical approaches of data preprocessing, optimization, visualization techniques and maintenance using state of the art methodologies based on ethical values.
Design and develop intelligent systems using computational principles, methods and systems for extracting knowledge from data to solve real time problems using advanced technologies and tools.
Design, plan and setting up the network that is helpful for contemporary business environments using latest software and hardware.
Planning and defining test activities by preparing test cases that can predict and correct errors ensuring a socially transformed product catering all technological needs.
Faculty
Dr. S. Jeyalakshmi, M.Tech, Ph.D.
Associate Professor
Dr. R. Thenmozhi M.Tech., Ph.D.
Assistant Professor (Sel.G)
Mrs. R. Lakshmi, M.E.,
Assistant Professor (Sel.G)
Mr. P. Sirenjeevi, B.E, M.Tech., (Ph.D)
Assistant Professor (Sr. G)
Mrs. R. Deepa M.Tech, (Ph.D)
Assistant Professor (O.G)
Mr. R. Sankaranarayanan, M.Tech., (Ph.D)
Assistant Professor (O.G)
Mrs. K. Sangeetha, M.Tech.,
Assistant Professor (O.G)
Mr. R. Danu M.E , (Ph.D)
Assistant Professor (O.G)
Laboratory
The Department have well equipped laboratories with more than 30 computers with various software and equipment’s relevant for the industry. The following are the 6 laboratories associated with IT department.
| Computer | 30 |
| Printer | 2 |
| UPS | APC Online 10 KVA UPS |
| Software | Anaconda, R-Studio, Python, Adobe Dreamweaver, XAMPP, SwiProlog |
Conducting Labs :
- Python Programming Lab
- C Programming Lab
- Computational Intelligence Essentials Lab
- Programming and Data Structures Lab
- Data Science and R Essentials Lab
- DBMS and Mining Lab
Library
Department of AI&DS Library book Details
| S.No. | Department Library Books | No. of Project Reports |
|---|---|---|
| 1 | 50 | – |
Central Library details
| S.No. | Department | No. of Titles | No. of Volumes | No. of National Journals | No. of International Journals | No. of E-Journals |
|---|---|---|---|---|---|---|
| 1 | AI&DS | 10 | 36 | 6 | 6 | 232 |
Central Library E-Journal Details
| S.No. | Department | IEEE | Elsevier | J-Gate ( E & T) | Total |
|---|---|---|---|---|---|
| 1 | AI & DS | 4 | 8 | 220 | 232 |
Achievements
Placement
The Department of Placement and Career Guidance shoulders the responsibility of training the students and placing them in esteemed companies. The department meticulously works in networking with the companies and HRs of varied fields and schedules campus drives accordingly. Placement Department is fully involved in developing the students by constantly monitoring the dynamic changes in the requirements of various fields and accordingly address the needs of the students by training and updating them. They are involved in creating awareness among the students on the requirements of Industries. and preparing the students to suit the demand of the Industries. They play a major role in Imparting Soft Skills through training.
Details of Placement in AY 2022-23
| Kaar Technologies | Rs. 6,50,000 |
Academic Year: 2022-23
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Hexwaware Technologies | 1 |
| 2 | Tech Mahindra | 8 |
| 3 | HCL | 5 |
| 4 | MindTree | 5 |
| 5 | Accenture | 45 |
| 6 | Kaar Technologies | 2 |
| 7 | TCS | 26 |
Academic Year: 2019-20
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Accenture | 37 |
| 2 | TCS | 5 |
| 3 | WIPRO | 3 |
| 4 | Worksbot | 6 |
| 5 | Sutherland | 2 |
| 6 | IBM | 1 |
| 7 | Crystal HR & Security Solutions Pvt Ltd | 1 |
| 8 | CTS | 7 |
| 9 | Innive | 2 |
| 10 | Ford Motor | 1 |
| 11 | CSS Corp | 1 |
| 12 | NSEIT | 1 |
Academic Year: 2017-18
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Accenture | 32 |
| 2 | Maveric Systems | 1 |
| 3 | Torry Harris | 1 |
| 4 | Sutherland-Voice | 9 |
| 5 | VDart Software Services Pvt. Ltd | 6 |
| 6 | Paragon Digital Services | 18 |
| 7 | Sutherland – non Voice | 3 |
Academic Year: 2016-17
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Kaar Technologies | 1 |
| 2 | Ionixx | 1 |
| 3 | Mavericc Systems | 2 |
| 4 | Wipro | 11 |
| 5 | Accenture | 52 |
| 6 | Capgemini | 12 |
| 7 | Sutherland(Voice&Non Voice) | 9 |
| 8 | eCON Systems | 1 |
| 9 | Tech Mahindra | 6 |
Academic Year: 2020-21
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Accenture | 15 |
| 2 | TCS | 16 |
| 3 | WIPRO | 20 |
| 4 | CTS | 24 |
| 5 | Avasoft | 1 |
| 6 | Sutherland | 32 |
| 7 | Sutherland Nonvoice | 13 |
| 8 | Mindtree | 9 |
| 9 | Infosys | 3 |
| 10 | NTT Data | 2 |
| 11 | HCL | 5 |
Academic Year: 2018-19
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | Accenture | 52 |
| 2 | L&T Infotech | 3 |
| 3 | Wipro | 1 |
| 4 | Infosys | 2 |
| 5 | Cognizant Technology Solutions | 5 |
| 6 | Sutherland Global Services (Voice) | 5 |
| 7 | NTT Data | 3 |
| 8 | Sutherland Global Services(Non-Voice) | 3 |
| 9 | Oddesey Technologies | 1 |
Academic Year: 2015-16
| S.No | Company Visited | Students Placed |
|---|---|---|
| 1 | TCS | 44 |
| 2 | L&T Infotech | 8 |
| 3 | iGate | 7 |
| 4 | Wipro | 5 |
| 5 | Infosys | 2 |
| 6 | Technosoft Global Services | 1 |
| 7 | Sutherland(Voice&Non Voice) | 4 |
| 8 | PickZy Interactive | 5 |
| 9 | Allsec Tech Ltd | 3 |
| 10 | CSS Corp | 5 |
| 11 | SoftLogic Systems | 2 |
| 12 | Avasoft | 1 |
Research
| Name of Faculty | Designation | Area of Research |
| Dr.R.Thenmozhi | A.P(Sel.G) | Video streaming in SDN |
| R.Lakshmi | A.P(Sel.G) | Data Science |
| R. Sankaranarayanan | A.P(O.G) | Image and Deep Learning |
| P. Sirenjeevi | AP(Sr.G) | Network Security, Machine Learning |
| R.Danu | A.P(O.G) | Cognitive Computing |
Alumni
Under Constructions
Blog
Under Constructions
Contacts
Dr. B. Muthusenthil B.E, M.E, Ph.D., Post Doc (South Korea)
Professor & Head,
Department of Artificial Intelligence and Data Science,
SRM Valliammai Engineering College,
SRM Nagar, Kattankulathur – 603 203,
Chengalpattu District,
Tamil Nadu, India.
TEL : : 044 – 27454784 / 726, EXTN : 8261
FAX : 044 – 2745 1504.
EMAIL : hod.ai-ds@srmvalliammai.ac.in
