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Vision and Mission of CSE(AI & ML)

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

Vision of the Department

To empower technocrats in the field of Artificial Intelligence and Machine Intelligence, preparing them for a globalized high-tech society, and orienting them toward meeting the dynamic and evolving needs of industry and society.

Mission of the Department

  1. To cultivate strong foundational skills in AI and MI by adopting innovative teaching and practical learning methods.

  2. To promote research and hands-on expertise by encouraging industry-oriented projects in advanced AI/ML domains.

  3. To instill ethical, professional, and leadership values in students to contribute responsibly to sustainable technology and societal development.

Programme Outcomes (POs)

Graduates will be able to:

  1. Engineering Knowledge: Apply knowledge of mathematics, computer science, engineering fundamentals, and AI techniques to address complex engineering problems.

  2. Problem Analysis: Identify, analyze, and interpret complex AI/ML problems to reach data-driven conclusions using established engineering principles.

  3. Design and Development of Solutions: Develop AI-based solutions and algorithms that meet specified requirements, considering public safety, sustainability, and cultural contexts.

  4. Conduct Investigations of Complex Problems: Employ research methodologies, including data analysis, experiments, and validation techniques to extract knowledge and build AI models.

  5. Modern Tool Usage: Utilize modern AI/ML tools, platforms, and frameworks with an understanding of their capabilities and limitations.

  6. The Engineer and Society: Assess the impact of AI technologies on society, health, safety, and legal and ethical obligations.

  7. Environment and Sustainability: Develop sustainable AI solutions that address global challenges and minimize environmental impact.

  8. Ethics: Demonstrate integrity and ethical behavior in the development and deployment of AI/ML systems.

  9. Individual and Team Work: Work effectively as an individual, team member, and leader in diverse technical and multidisciplinary settings.

  10. Communication: Communicate AI/ML concepts, ideas, and solutions clearly to technical and non-technical audiences through effective writing, presentations, and reporting.

  11. Project Management and Finance: Demonstrate understanding of engineering management principles, applying them to manage AI-driven projects efficiently in teams.

  12. Life-long Learning: Engage in continuous self-improvement and learning to keep pace with emerging AI/ML trends and technologies.

Programme Educational Objectives (PEOs)

Graduates will:

  • PEO1: Develop a strong foundation in AI and engineering principles to address real-world computing and automation challenges.

  • PEO2: Acquire core AI/ML knowledge and technical expertise to meet industry, research, and academic requirements.

  • PEO3: Possess advanced AI/ML skill sets, professional ethics, leadership, and teamwork competencies to excel in their careers.

  • PEO4: Exhibit social awareness, sustainability, and lifelong learning aptitude to contribute to the development of society.

Programme Specific Outcomes (PSOs)

Graduates will be able to:

  • Problem Solving: Develop and deploy computational models and AI-powered solutions for complex real-world problems using modern AI techniques.

  • Technical Competency: Apply knowledge in AI/ML for research, higher education, entrepreneurship, and socially relevant AI projects that contribute to innovation and growth.