About the Department
The Department of Artificial Intelligence and Machine Learning was established in the year 2021 with an intake of 60 students. It is a four-year full-time undergraduate program recognized by the All India Council for Technical Education (AICTE). The department has a team of dedicated and experienced faculty with the goal of training students with world-class infrastructure, curriculum, comprehensive hands-on experience, and conducting research in the field of Artificial Intelligence & Machine Learning. All the classrooms are well furnished, air-conditioned, with a smart board facility. The department has 2 well-equipped laboratories with higher configuration systems along with a smartboard available in each laboratory to give the best to the students. All laboratories are designed with the aim to present as an Activity Based Learning (ABL) laboratory to the students where they use all equipment in a comfortable environment.
Key Features
- State of the Art Laboratory.
- 70% of hands-on learning.
- Well researched material.
- Comprehensive training with a practical approach.
- Increases Employability Skills.
- Addresses Key Life Skills.
- Economical.
- Industry Recognition.
- Exposure to the Global industry workforce.
- Hands-on experience on industry-standard tools, processes, and systems.
- Consolidation of concepts.
- Development of team skills.
Centre of Excellence
Eminent Alumni
News and Events
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The Department of Artificial Intelligence and Machine Learning and the
VISION
To uniquely position the department and to establish synergistic relationships across the entire spectrum of disciplines involved with computing by our faculty contributing to Computer Science and devoting themselves to take the maximal advantage of modern Computer Science to solve a wide range of complex, scientific, technological, and social problems.
MISSION
- To pursue our vision by striving for excellence in creating, applying, and imparting knowledge in Computer Science and Engineering.
- To pursue a comprehensive educational system, research in collaboration with industry and Government and to disseminate knowledge through scholarly publications.
- To provide service through professional societies to the community, the state, and the nation.
PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
- Graduates, within four years of graduation, should demonstrate peer-recognized expertise together with the ability to articulate that expertise and use it for contemporary problem-solving in the analysis, design, implementation, and evaluation of artificial intelligence/data science systems.
- Graduates, within four years of graduation, should demonstrate engagement in the engineering profession, locally and globally, by contributing to the ethical, competent, and creative practice of engineering or other professional careers.
- Graduates, within four years of graduation, should demonstrate sustained learning and adapt to a constantly changing field through graduate work, professional development, and self-study.
- Graduates, within four years of graduation, should demonstrate leadership and initiative to ethically advance professional and organizational goals, facilitate the achievements of others, and obtain substantive results.
- Graduates, within four years of graduation, should demonstrate a commitment to teamwork while working with others of diverse cultural and interdisciplinary backgrounds.
PROGRAMME OUTCOMES (POs)
- Engineering Knowledge: Apply fundamentals of math, science, and engineering to complex problems.
- Problem Analysis: Identify and analyze complex engineering problems to reach substantiated conclusions.
- Design/Development of Solutions: Design solutions for complex problems while considering public health, safety, and environmental factors.
- Conduct Investigations of Complex Problems: Use research-based methods, experiments, and data analysis to provide valid conclusions.
- Engineering Tool Usage: Apply modern engineering and IT tools with an understanding of their limitations.
- The Engineer and the World: Evaluate societal, health, safety, legal, and cultural responsibilities and sustainable development (merged from former PO6 and PO7).
- Ethics: Commit to professional ethics, human values, diversity, and inclusion.
- Individual and Collaborative Team Work: Function effectively as an individual and in multidisciplinary teams.
- Communication: Communicate effectively through reports, documentation, and presentations.
- Project Management and Finance: Apply engineering management and economic principles to manage projects.
- Life-Long Learning: Engage in independent and continuous learning amid technological changes.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
Design, develop, and optimize machine learning and deep learning models to solve complex real-world problems.
Develop AI-driven solutions, innovate across sectors, and pursue higher studies or entrepreneurial ventures.
Implement AI solutions that are secure, ethical, transparent, and aligned with societal and sustainability considerations.