Vision
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To become centre of excellence in technical education to produce competent professionals to the dynamic needs in the field of Artificial Intelligence and Data Science.
B. Tech., in Artificial Intelligence and Data Science (AI &DS) is a four year full time undergraduate programme, started in the year 2020. This program has an intake of 60. The department consists of highly qualified faculty with doctoral degrees and research area. The aim of the program is to influence the student in taking world class massive project to radically modify the enterprise software system with AI and Data Science. The outcome from the student would be his sensitization in the way of statistical and mathematical reasoning, knowledge finding and life visualization skills. The ultimate goal is to nurture the academic excellence, industry exposure and outstanding career opportunities to our students.
Mission
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- Educating the fundamentals of AI&DS by continuously improving the teaching learning methodologies using modern tools.
- Creating a conducive environment for learning and research-based activities.
- Inculcating the interdisciplinary skill set required to fulfill the societal need.
PROGRAM EDUCATIONAL OBJECTIVES
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- PEO1: Graduates will excel in Artificial Intelligence & Data Science domain.
- PEO2: Graduates will apply AI&DS expertise to the development of appropriate systems.
- PEO3: Graduates will have the ability to apply the gained knowledge to improve the society ensuring ethical and moral values.
PROGRAM OUTCOMES
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- PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO2: 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.
- PO3: 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.
- PO4: 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.
- PO5: 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.
- PO6: 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.
- PO7: 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.
- PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO10: 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.
- PO11: 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.
- PO12: 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 OBJECTIVES
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- PSO1: To evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
- PSO2: To arrive at actionable for sight, Insight, hind sight from data for solving business and engineering problems.
- PSO2: To create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.
CURRICULUM
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Laboratory
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- Data Structures Design Lab
- Data Science Lab
- Object Oriented Programming Lab
- Database Design and Management Lab
- Data Analytics Laboratory
- Artificial Intelligence Laboratory
- Machine Learning Laboratory
- Web Technology Lab
- Deep Learning Lab
MOU
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- Infosys Limited
- EMC2
- Linux Xpert Systems
- Gateway Software Solutions- Delivery partner of HP
Department Activities
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