Program Educational Objectives :: B. Tech. - CSE [AI & DS]
PEO 1 | Graduates shall apply the analytical, decision making and prediction skills in AI & DS to formulate and solve complex intelligent computing and multidisciplinary problems. |
PEO 2 | Graduates will be able to take up higher studies, research & development by acquiring in-depth knowledge in Artificial Intelligence & Data Science. |
PEO 3 | Graduates will be able to exhibit their employability skills and practice the ethics of their profession with a sense of social responsibility. |
Program Educational Objectives :: B. Tech. - CSE [AI & ML]
PEO 1 | Graduates will have the ability to analyse and develop innovative solutions to solve real-world problems using Artificial Intelligence and Machine Learning Techniques. |
PEO 2 | Graduates will be able to succeed in higher studies and multi-disciplinary research by learning state-of-the-art technologies in the field of Artificial Intelligence and Machine Learning. |
PEO 3 | Graduates will have the ability to communicate effectively, work collaboratively and exhibits professionalism with ethical and social responsibilities. |
Program Outcomes :: B. Tech. - CSE [AI&DS] and CSE [AI&ML]
PO 1 | Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
PO 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. |
PO 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. |
PO 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. |
PO 5 | Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
PO 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. |
PO 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. |
PO 8 | Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
PO 9 | Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
PO 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. |
PO 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. |
PO 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. |
Program Specific Outcomes :: B. Tech. - CSE [AI & DS]
PSO 1 | Apply a set of data science principles, tools, and techniques to model various real-world business problems, analyze them, and suggest a suitable solution by communicating relevant findings and effectively presenting results using appropriate data visualization techniques. |
PSO 2 | Apply the skills of Artificial Intelligence and Machine Learning in the areas of Health Care, Education, Agriculture, e-commerce, financial sector, Smart Systems, and Multi-disciplinary areas of AI. |
Program Specific Outcomes :: B. Tech. - CSE [AI & ML]
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PSO 1 |
Ability to identify problem where Artificial Intelligence and Machine Learning can be applied and to identify the right AI/ML techniques in such contexts. |
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PSO 2 |
Formulate solutions for interdisciplinary problems through acquired programming knowledge on Artificial Intelligence, Machine Learning, Deep Learning, and Big Data. |
