Excellence in Education, Innovation in Practice.
Thought for the Day
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Vision and Mission for AID

"Empowering minds, shaping futures — Priyadarshini College is where learning meets purpose."

Vision of the Department

To empower students with expertise in Artificial Intelligence and Data Science, nurturing technocrats who can drive innovation and research to meet the evolving demands of industry and society in the data-driven world.

Mission of the Department

  1. To provide quality education and hands-on learning in Artificial Intelligence, Machine Learning, and Data Science using modern tools and techniques.

  2. To encourage research, innovation, and entrepreneurship by promoting interdisciplinary projects and industry collaborations.

  3. To instill ethics, leadership, teamwork, and social responsibility, preparing students to tackle real-world problems for sustainable societal growth.

Programme Outcomes (POs)

Graduates will be able to:

  1. Engineering Knowledge: Apply mathematics, computer science, and engineering principles to solve complex AI and Data Science problems.

  2. Problem Analysis: Identify, analyze, and formulate AI and data-driven problems to derive valid conclusions.

  3. Design and Development of Solutions: Develop AI-based models and data-centric solutions, keeping public health, safety, and sustainability in mind.

  4. Conduct Investigations of Complex Problems: Use data-driven research, statistical techniques, and AI methods to draw valid conclusions.

  5. Modern Tool Usage: Employ state-of-the-art tools, programming languages, and frameworks for developing AI and data science solutions.

  6. The Engineer and Society: Assess the societal, legal, and ethical impact of AI and data solutions, contributing to responsible technology use.

  7. Environment and Sustainability: Develop sustainable AI and data-driven solutions that address global challenges and promote eco-friendly practices.

  8. Ethics: Commit to ethical practices and demonstrate professional integrity in data handling and AI model deployment.

  9. Individual and Team Work: Function efficiently as an individual and as a team member or leader in diverse multidisciplinary projects.

  10. Communication: Communicate data science and AI concepts effectively through reports, presentations, and discussions with diverse audiences.

  11. Project Management and Finance: Apply project management skills to plan, manage, and lead AI and data-driven projects across domains.

  12. Life-long Learning: Recognize the need for continuous skill upgradation and lifelong learning in the rapidly evolving fields of AI and Data Science.

Programme Educational Objectives (PEOs)

Graduates will:

  • PEO1: Develop a strong foundation in core AI and Data Science domains to tackle real-world industrial and societal challenges.

  • PEO2: Gain proficiency in applying AI/ML tools, data analytics, and emerging technologies for research, innovation, and entrepreneurial opportunities.

  • PEO3: Demonstrate communication, leadership, ethics, teamwork, and sustainability awareness in all professional pursuits.

  • PEO4: Pursue lifelong learning to adapt to evolving technologies and excel in diverse career paths or higher education.

Programme Specific Outcomes (PSOs)

Graduates will be able to:

  • Data-Driven Problem Solving: Design and implement AI and data analytics solutions to complex, real-world problems using advanced tools and techniques.

  • Technical Competency: Leverage expertise in AI, machine learning, data engineering, and big data tools to excel in research, entrepreneurship, or further education with a focus on societal impact.