Artificial Intelligence and Data Science
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Establishment Year : 2023 UG(B.Tech) Intake : 120 Duration of Course : 4 Years Location : Building ‘B’, 2nd & 3rd Floor Contact : 0253-2571439 Ext: 231 |
Artificial Intelligence and Data Science
To be a globally recognized center of excellence in Artificial Intelligence and Data Science, fostering multidisciplinary collaborations, technological innovation and research to address real world challenges and enhance societal progress.
To equip students with strong theoretical foundations and practical skills in Artificial Intelligence and Data Science for multidisciplinary and technology driven academic framework, facilitate research and innovation to solve real-world problems, and enhance industry collaborations to develop ethical solutions for societal progress.
Students will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
- 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.
- 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.
- To equip graduates with multidisciplinary knowledge and ethical AI expertise to solve real-world challenges responsibly.
- To enable graduates to apply research expertise and entrepreneurial skills for innovation and technological advancements.
- Graduates will possess industry relevant skills and exhibit ethical behavior and societal responsibility.
- Apply core and advanced concepts of AI & Data Science to design and implement intelligent solutions for real-world challenges across various domains.
- Utilize research based knowledge for innovation and technological advancements while exploring emerging technologies to create societal and industrial impact.
- Develop solutions with a strong ethical foundation while working effectively both individually and in teams to address global technological challenges.
To be a globally recognized center of excellence in Artificial Intelligence and Data Science, fostering multidisciplinary collaborations, technological innovation and research to address real world challenges and enhance societal progress.
To equip students with strong theoretical foundations and practical skills in Artificial Intelligence and Data Science for multidisciplinary and technology driven academic framework, facilitate research and innovation to solve real-world problems, and enhance industry collaborations to develop ethical solutions for societal progress.
Students will be able to:
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and team work: Function effectively as an individual, and as member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the engineering community and with the 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.
- 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.
- 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.
- To equip graduates with multidisciplinary knowledge and ethical AI expertise to solve real-world challenges responsibly.
- To enable graduates to apply research expertise and entrepreneurial skills for innovation and technological advancements.
- Graduates will possess industry relevant skills and exhibit ethical behavior and societal responsibility.
- Apply core and advanced concepts of AI & Data Science to design and implement intelligent solutions for real-world challenges across various domains.
- Utilize research based knowledge for innovation and technological advancements while exploring emerging technologies to create societal and industrial impact.
- Develop solutions with a strong ethical foundation while working effectively both individually and in teams to address global technological challenges.