Artificial Intelligence and Data Science
 |
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.
- PO1 : Engineering Knowledge :
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO2 : Problem Analysis :
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.(WK1 to WK4)
- PO3 : Design/Development of Solutions :
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.(WK5)
- PO4 : Conduct Investigations of Complex Problems :
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5 : Engineering Tool Usage :
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6 : The Engineer and The World :
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
- PO7 : Ethics :
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.(WK9)
- PO8 : Individual and Collaborative Team work :
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9 : Communication :
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
- PO10 : Project Management and Finance :
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11 : Life-Long Learning :
Recognize the need for, and have the preparation and ability for
- Independent and life-long learning
- Adaptability to new and emerging technologies and
- Critical thinking in the broadest context of technological change.(WK8)
- 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.
- PO1 : Engineering Knowledge :
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems. - PO2 : Problem Analysis :
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.(WK1 to WK4) - PO3 : Design/Development of Solutions :
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.(WK5) - PO4 : Conduct Investigations of Complex Problems :
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8). - PO5 : Engineering Tool Usage :
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6) - PO6 : The Engineer and The World :
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7). - PO7 : Ethics :
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.(WK9) - PO8 : Individual and Collaborative Team work :
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams. - PO9 : Communication :
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences - PO10 : Project Management and Finance :
Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments. - PO11 : Life-Long Learning :
Recognize the need for, and have the preparation and ability for- Independent and life-long learning
- Adaptability to new and emerging technologies and
- Critical thinking in the broadest context of technological change.(WK8)
- 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.