About The Department

Department Of Artificial Intelligence And Data Science was established in the year 2022 with approval from AICTE and affiliation from Anna University Chennai to formulate proficient professionals to become part of the engineering and research association at the worldwide levels. The department has experienced faculty members with different specialization in Artificial Intelligence And Data Science. The department provides placement opportunities in well-established organizations and MNCs.

Students are trained both quantitatively and qualitatively during the lab session that enhance their understanding and helps further to motivate them to taking projects and proves as a helping hand to do their projects efficiently. Practical awareness is inculcated to the students by arranging many national conferences, Seminars, FDP and workshop in association with CSI and ICTACT. Value added programs are conducted to improve student's soft skills.

VISION

To develop high-quality software engineers, academicians, researchers and entrepreneurs in the fields of artificial intelligence and data science in order to build a value-based, sustainable society.

MISSION

M1: To create an academic success using an effective teaching-learning process.
M2: To develop students, acquire critical thinking abilities and solid moral values.

MESSAGE FROM DEPARTMENT HOD

The AI&DS Department at SJCET has been continuously fostering for academic excellence through industry academy collaboration as we believe in Thinking, Innovation and Creativity and create future computer scientists, engineers, IT professionals and responsible citizens to serve the growing needs of computing in the society.

The Department is dedicated and committed to education, with equal emphasis on high quality research and teaching in computer science and engineering.

Our faculty members aim at delivering top class education blending their rich research experience with classroom teaching. The department motivates the staff members to pursue higher studies and encourage them to attend conferences, workshops and publish papers in national / international conferences/journals.The department of AI &DS provides platform for the students to achieve their career goals and it is a pleasure to be the head of Artificial Intelligence And Data Science department.

Program Educational Objectives (PEOs)

PEO1

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.
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.
3.Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
4.Design and model AI based solutions to critical problem domains in the real world.
5.Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

Program Specific Outcomes (PSOs)

PSO1

Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
PSO2

Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
PSO3

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.
PSO4

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.
PSO5

Able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

Program Outcomes (POs)

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.
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 and management principles and apply these to ones 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 life-long learning in the broadest context of technological change.