About Department

The Department of Artificial Intelligence and Data Science (AI & DS), a unique department endeavoring the students to impart knowledge on advanced innovations in the field of Artificial Intelligence, Data Science, Machine Learning, Deep Learning etc.

The programme curriculum is designed to enable students to design and develop intelligence machines, software, or applications by combining cutting edge technologies.

The primary goal of artificial intelligence is to provide the ability to computers so that they can learn with examples and experience to solve the given problem without being explicitly programmed by humans. Many such applications already exist and grabbing attention in the IT industry. Applications that analyze past sales data to predict customer behavior used in financial management, Recognition of human face or speech, Optimization of industrial robotics to achieve better results with minimum human resources.

Department Vision

To impart high quality technical education with ethical values, evolve as a center of proficiency in the field of Artificial Intelligence & Data Science, promote collaborative research, lifelong learning and entrepreneur; produce industry ready engineers to meet the global challenges and societal needs.

Department Mission

• Empowering women students with innovative, modern and cognitive skills in the field of Artificial Intelligence and Data Science.
• Become a Centre of Excellence in the field of Artificial Intelligence and Data Science and produce technocrats who can able to provide solutions to inter-disciplinary applications to meet the social needs.
• Enable integration of academics and industry, to bring innovative ideas in the student’s mind, thus empowering them to meet the global challenges..
• Encourage the students for higher education, research and entrepreneurship in Artificial Intelligence and Data Science.

Programme Educational Objectives (PEOs)

Graduates will be able to

PEO1	Knowledgeable engineering professionals to use Artificial Intelligence and Data Science to solve engineering problems.
PEO2	Capable of pursuing higher educations and research, with wider opportunities in teaching and shaping the future
PEO3	Develop communication skills, follow professional ethics and involve in team work in their profession.

Program Outcomes (POs)

Undergraduate engineering programmes are designed to prepare graduates to attain the following program 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 investigation 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 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 life-long learning in the broadest context of technological change.

Program Specific Outcomes (Psos)

Graduates should be able to:

PSO1	Ability to design and improve Artificial Intelligence algorithms, tools and techniques for solving real world problems.
PSO2	Ability to classify and use applicable analytical tools and techniques on massive datasets to extract information

Curriculum

Faculty Members

NON TEACHING STAFF

Department Highlights

The Department Highlights

Students Achievements

• 2024-2025

Galler

• 2022
• 2021
• 2020

SAMPATH

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