Vision

• To develop competent professionals in the field of AI & ML contributing globally to the benefit of industry and society.

Mission

• To develop state of the art academic and infrastructural facilities with modern equipment and other learning resources to produce self-sustainable professionals.
• To collaborate with Industry and Research Laboratories through projects based learning, internships enabling the students to explore, apply various directions of learning.
• To equip students with interdisciplinary skill sets to be able to build intelligent systems which in turn provides dynamic and promising careers in the global marketplace.

Program Specific Outcomes (PSO's) - Graduates of the CSE (Artificial Intelligence & Machine Learning) program will be able to:

• Design, develop, implement and deploy intelligent systems and machine learning models to solve real-world problems in diverse domains such as healthcare, finance, and IoT.
• Demonstrate proficiency in AI techniques such as computer vision, natural language processing, and reinforcement learning to build advanced and innovative AI systems.
• Design and implement intelligent robotic systems using Robot Operating System (ROS) to solve real-world challenges in fields such as manufacturing, healthcare, and autonomous vehicles.
• Design and implement AI/ML systems adhering to ethical standards, considering societal impacts, and ensuring inclusivity, fairness, and transparency.

Program Outcomes (PO's) - Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
3. 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.
4. 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.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
11. 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.
12. 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.