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]
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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. |
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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. |
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PEO 3 |
Graduates will have the ability to communicate effectively, work collaboratively and exhibits professionalism with ethical and social responsibilities. |
Knowledge and Attitude Profile :: B.Tech. - CSE(AI&DS), CSE(AI&ML)
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WK 1 |
A Systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences. |
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WK 2 |
Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline. |
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WK 3 |
A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline. |
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WK 4 |
Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. |
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WK 5 |
Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area. |
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WK 6 |
Knowledge of engineering practice (technology) in the practice areas in the engineering discipline. |
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WK 7 |
Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development |
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WK 8 |
Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues. |
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WK 9 |
Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes. |
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. |
