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Department of CSE (Data Science)


The Department of CSE (Data Science) was established in 2022. The department offers a four year degree program in Data Science with an annual intake of 120 students. This department is dedicated to explore the fascinating fields of Data Science, issues equipping the students with the knowledge and skills to excel in these rapidly evolving domains.

HOD Profile


Dr. Sridhar Manda Working as an assistant professor, and HoD (Data Science) at Balaji Institute of Technology and Science, Narsampet. He had total 14 years of experience in teaching field. He received Ph.D. from the prestigious university University of Mysore, Mysore, Karnataka State, done his research in the field of Internet of things routing. Till now he published around 20 papers in various International Journals and International Conferences out of these 3 SCI Journals and remaining are Scopus Indexed, WoS and ugc Journals. He published 2 patents and 3 books and SCI book chapters. He has received 4 awards and he is the life time member of ISTE and IJRULA. His area of research interest is Internet of Things, Machine Learning, Data Science and Artificial Intelligence.

Dr. Sridhar

Dr. Sridhar Manda

HOD

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  • PEO1, ProficientTo formulate the engineering practitioners to solve the industry's technological problems.
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  • PEO2, To engage the engineering professionals in technology development, deployment and engineering system implementation.
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  • PEO3, To impart gradually professional ethics, values, social awareness and responsibility to emerging technology.
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  • PSO1, Proficient and innovative with a strong cognizance in the arenas of sensors, IoT, data science, controllers and signal processing through the application of acquired knowledge and skills.
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  • PSO2, Apply cutting-edge techniques and tools of sensing and computation to solve multi-disciplinary challenges in industry and society.
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  • PSO3, Exhibit independent and collaborative research with strategic planning while demonstrating professional and ethical responsibilities of the engineering profession.
  • Programs Outcomes


    A graduate of the Internet of Things Program will demonstrate:

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    • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • 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.
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    • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
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    • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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    • 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.
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    • 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. to manage projects.
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    • 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.