CSE(DS) Department was established in the academic year 2022-2023 with an intake of 60
Artificial Intelligence (AI) is any technique that enables computers to mimic human intelligence. AI is an interdisciplinary science with multiple approaches to build smart machines capable of performing tasks that typically require human intelligence. Data Science (DS) is an umbrella term for a group of fields that are used to analyze large datasets. It is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.
Data Science is a comprehensive process that involves pre-processing, analysis, visualization and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events. Data Science comprises of various statistical techniques whereas AI makes use of computer algorithms. With Data Science, we build models that use statistical insights. On the other hand, AI is for building models that emulate cognition and human understanding. Data Science does not involve a high degree of scientific processing as compared to AI
Companies are focusing on AI-centric growth that can operate on algorithms and hence enable better customer experience. To enable the graduating students to be ready for the paradigm shift B.E. programme in CSE DS is designed to provide the foundations for job roles like, AI Engineer, AI Data Analyst, Data Engineer, Data Scientist, etc in the evolving job market scenario.
HEAD OF THE DEPARTMENT
Dr. Kavuri Roshan - Head of Department (HOD), Artificial Intelligence & Data Science
Dr. Kavuri Roshan is an accomplished academician and researcher with a passion for driving excellence in the field of Computer Science and Engineering. With a diverse educational background culminating in a PhD in Computer Science & Engineering from Sri Satya Sai University of Technology and Medical Sciences (SSSUTMS), Bhopal, Madhya Pradesh. Dr. Roshan brings a wealth of knowledge and experience to his role as the Head of Department (HOD) for Artificial Intelligence & Data Scienc`e at our institution.
Educational Background:
- PhD in Computer Science & Engineering, SSSUTMS
- M.Tech. in Computer Science & Engineering, JNTUH
- B.E. in Electronics & Communication Engineering, Andhra University
Professional Memberships:
Dr. Roshan is a Life Member of the Computer Society of India (MCSI) and has held various leadership positions within academic institutions, including serving as the Chairman of the Board of Studies (BOS) for different departments at our institution.
Administrative Expertise:
With a robust administrative skill set, Dr. Roshan has contributed significantly to various accreditation processes such as AICTE, NAAC & NBA, and has played a pivotal role in steering the department towards excellence in both academics and research.
Vision:
Driven by a vision of fostering innovation and nurturing talent, Dr. Roshan is committed to providing a conducive learning environment for students and fostering interdisciplinary research collaborations within the department.
Contact:
Ph: 9949106818 E-mail: hod.ai_ds@jbiet.edu.in
Vision
To meet the emerging trends of Industry 4.0 by adopting innovative teaching, learning and research practices igniting problem solving skills among students
Mission
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To impart qualitative education, prepare students refurbish their latent talents and aspire for a pragmatic career in Artificial Intelligence and Data Science
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To provide sound foundation for problem solving and research skills with core ideas of data science, Probability and statistics.
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To Inculcate self-learning among students to make them self-reliant and socially responsible.
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
Graduates can
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Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
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Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
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Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team designing Innovative solutions with Artificial Intelligence and Data Science
PROGRAM SPECIFIC OUTCOMES (PSOs)
Graduates should be able to:
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Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
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develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
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Program Outcomes of CSE(Data Science) Department (POs)
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PO1
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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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PO2
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Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
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PO3
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Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
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PO4
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Conduct investigations of complex problems: using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
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PO5
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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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PO6
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The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
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PO7
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Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
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PO8
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Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
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PO9
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Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
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PO10
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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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PO11
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Project Management and Finance: Demonstrate knowledge and understanding of 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.
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PO12
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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. Any signatory needs to provide an overview of its learning outcomes and confirm that compliance of programs.
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PIONEERS OF INNOVATION
In the bustling landscape of academia, where the convergence of data and technology shapes the future, there exists a beacon of innovation known as the Data Wranglers Club. Since its inception , this club has emerged as the epitome of progress within the realm of data science department in JBIET. Fueled by the unbridled passion of both budding data enthusiasts and seasoned faculty members alike, the Department of Data Science has witnessed an unprecedented surge in activity and achievement. Spearheading this charge is the Data Wranglers Club, standing tall as the department's crowning glory. What sets this club apart is not merely its existence, but the remarkable strides it has made in a remarkably short span of time. Within days of its inauguration, the Data Wranglers Club has already carved a niche for itself as a powerhouse of ingenuity and creativity.
VISION :
As pioneers of a new beginning, the students of this club embody the spirit of exploration and experimentation. They are the architects of tomorrow's data landscape, leveraging their expertise to surmount challenges and unlock new frontiers of knowledge
MISSION :
In a world increasingly defined by data, the Data Wranglers Club stands as a testament to the boundless potential of human ingenuity and student’s integrity. With their unwavering dedication and relentless pursuit of excellence, we are poised to shape the future of data science and inspire generations and future batches to come.
President's Message
Team Message
Events
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Sl.No.
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Name of the Activity
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Date
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Details
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1
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Data Wranglers Club Inauguration
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09 MARCH 2024
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View Details
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2
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Data Wranglers Club Success Meet
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01 APRIL 2024
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View Details
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3
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Workshop on "DOJIMA BLOCKCHAIN HANDS-ON WORKSHOP"
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13 August 2024
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View Details
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