PROGRAMS

PROGRAM OUTCOMES (POs)

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 analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural science 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 sustainability : Understand the impact of the professional engineering solutions in the 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 ones own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12. Lifelong learning : Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broader context of technological change.

PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates of CSE(Artificial Intelligence & Machine Learning program) will be able to

1. Develop & designing advanced AI and ML algorithms, focusing on deep learning, NLP, computer vision, and reinforcement learning systems.
2. Apply practical experience with cutting-edge tools and platforms for data handling and deploying AI/ML solutions to solve real-world problems.

PROGRAM EDUCATION OBJECTIVES (PEOs)

Graduates of CSE(Artificial Intelligence & Machine Learning program) will be able to

1. To apply artificial intelligence and machine learning (AIML) concepts, leveraging deep expertise in computer science and engineering, to address social issues and contribute to national development programs.
2. To Foster a research and innovation culture by moulding them into skilled developers and innovative thinkers, who can push the boundaries of AIML applications and technology.
3. Establish collaborations between Industry and Academics to give access to state-of-the-art technology and practical professional problems, fostering their integrity and capacity to succeed in a variety of professional settings.