Artificial Intelligence and Data Science (AIDS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The demand for undergraduates in AIDS has experienced an increasing demand in the Global market over the last few years. This demand is by the extensive usage of smart phones, innovations in social media, online banking, etc. With the departure of Artificial Intelligence & Data Science, Students are transformed to industry ready professionals by building smart machines with cutting edge technologies.
B.Tech. Artificial Intelligence and Data Science programme kick-starts, in our College, from the academic year 2020 – 21 with a vision to build the intellectual capital of the society through research-based education, creating new knowledge and innovations. AIDS course aims to indulge knowledge in not only the core technologies such as artificial intelligence, data warehousing , data mining and data modelling and also make ready students expertise in thrust areas such as machine learning and big data analytics. Students with this course can gain cross-disciplinary skills in diversified fields such as computer science, Statistics, Logic, programming, Data science and artificial intelligence etc. The faculty is accounted for creating the best talents with well qualified and certified in Artificial Intelligence and Data Science.
Artificial Intelligence and Data Science (AIDS) Programme train and prepare students having skills to perform intelligent data analysis which is an important aspect in number of real-time applications influencing nearly every phase of our lives helping to improve efficiency and augment human capabilities with eloquent breakthroughs in medicine , finance, manufacturing, health care and retail industries.
Well integrated balance of theoretical underpinnings and practical experience.
Possess effective communication, management, entrepreneurial, leadership and interpersonal skills through training.
Offers excellent employment prospects and well-paid careers.
Up-to-date training in the discipline in high technical knowledge
Programmes Offered
B.E. Artificial Intelligence and Data Science
Duration
4 years (Regular) / 3 years (Lateral Entry)
No. of Semesters
8 (Regular) / 6 (Lateral Entry)
No. of Seats
Total - 30 (NRI Approval Status - Yes, PIO/FN/GULF quota/OCI Approval Status - Yes)
Eligibility
+ 2 or Equivalent, as per Norms & guidelines of the Government of Tamil Nadu/Anna University and AICTE.
The course trains the students of the basics and different aspects of computer engineering. It includes foundations of computer systems, computer architecture & organization, networking, the theory of computation, database systems, electronics, operating systems, programming and website designing, E- commerce & multimedia applications, principles of programming languages, software engineering, hardware engineering, etc.
Career in B.E is considered one of the most high-paying jobs and is imbued with opportunities; particularly in an era where India’s prowess in information technology industry is recognized globally. Also, computer engineers have a range of options to work in IT companies in departments such as design, development, assembly, manufacture and maintenance, etc. B.E Computer Engineers are the most wanted employees in abroad. A few designations for computer engineers in abroad companies are front-end developer, back-end developer, web developer, black box tester, white box tester, robotics, AI specialist, Developer engineer, etc.
Career in B.E is considered one of the most high-paying jobs and is imbued with opportunities; particularly in an era where India’s prowess in information technology industry is recognized globally. Also, computer engineers have a range of options to work in IT companies in departments such as design, development, assembly, manufacture and maintenance, etc. B.E Computer Engineers are the most wanted employees in abroad. A few designations for computer engineers in abroad companies are front-end developer, back-end developer, web developer, black box tester, white box tester, robotics, AI specialist, Developer engineer, etc.
Top Companies
Microsoft
Google
Twitter
Intel
SAP
Oracle
HCL
Tech Mahindra
Zoho
Our Vision
Department of Artificial Intelligence and Data Science aims to become a center of excellence for quality technical education by keeping pace with new technologies in line with Artificial Intelligence and Data Science to create skillful Engineering professionals.
Our Mission
To prepare the students to lead the advancements in Artificial Intelligence, Machine Learning, Data Science, IoT and Cyber Security through quality learning and research.
Dr. N. K. Karthikeyan
B.E., M.E., Ph.D Professor and Head of the Department
Dr. N. K. Karthikeyan is a distinguished academician, researcher, and professor in the field of Information Technology, with extensive experience in teaching, research, curriculum development, and academic administration. He was formerly associated with the Department of Information Technology at Coimbatore Institute of Technology, Coimbatore.
Currently, he serves as the Dean of Computing Sciences at RVS Technical Campus, Coimbatore. He has made significant contributions to emerging domains such as the Internet of Things (IoT), Big Data Analytics, Cloud Computing, Wireless Networks, and Artificial Intelligence.
With a strong research profile, Dr. Karthikeyan has published numerous research articles in reputed national and international journals and conferences. His scholarly contributions have earned substantial citations in the research community, reflecting the impact of his work in advancing modern computing technologies.
The Departmental Advisory Board is composed of members from eminent institutions as well as members from industry, Alumni and members of faculty of the department
S.No
Name
Position of Members
1
Dr. N.K. Karthikeyan
University Nominee
Professor, Department of Information Technology,
Coimbatore Institute of Technology, Coimbatore
2
Dr. N. Suresh Kumar
Subject Expert
Professor and Head, Department of CSE,
School of Computing,
Kalasalingam Academy of Research and Education,
Krishnan kovil.
3
Dr. R. Mohanasundaram
Subject Expert
Professor Grade 1, Department of Software Systems,
School of Computer Science and Engineering,
VIT University, Vellore.
4
Dr. P. Nagaraj
Subject Expert
Associate Professor, Department of CSE,
School of Computing,
Kalasalingam Academy of Research and Education
Krishnan kovil.
5
Dr. A. Viswanathan
Subject Expert
Associate Professor,Department of Information Security,
School of Computer Science and Engineering,
VIT University,
Vellore.
6
Mr. P. Sathishkumar
Subject Expert
Network Designer,,
Comcast - Sky, Chennai.
7
Mrs. G.Elakkia
Alumnus
Coimbatore
BOARD OF STUDIES (BOS)
S.No
Name
Designation
Position
1.
Dr. N.K. Karthikeyan
Professor,Department of IT, Coimbatore Institute of Techno logy, Coimbatore.
External Stakeholder (University Nominee)
2.
Dr. P. Nagaraj
Associate Professor, Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Krishnan kovil.
External Stakeholder (Subject Expert)
3.
Dr. A. Viswanathan
Associate Professor, Department of Information Security, School of Computer Science and Engineering, VIT University, Vellore.
The Program Educational Objectives (PEOs) which describes expected accomplishments of our graduates of the B.Tech. Artificial Intelligence and Data Science program are:
PEO 1: Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
PEO 2: Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO 3: Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PEO 4: Design and model AI based solutions to critical problem domains in the real world.
PEO 5: Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems
Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
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.
Modern tool usages: 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.
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. B. E. MECHANICAL ENGINEERING
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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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.
. Artificial Intelligence and Data ScienceGraduates will be able to
PSO 1: Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO 2: Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems.
PSO 3: Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.
PSO 5: develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
PSO 2: Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.
