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CSE - Data Science

DEPARTMENT

Welcome Note by the Department - HOD.

Department of CSE(Data Science) is widely recognized as an essential source and technique for the advancements in all spheres of human endeavour now and in future. In SVCE all the students get the opportunity to excel in their academic activities. This is the department where students publish papers in international journals, at the same time a student wishing to achieve some recognition in extra-curricular or co-curricular activities will also find the atmosphere helpful. Among the reasons why our graduates are such favorites of industry is the consistent hands-on experience-based approach of our curriculum, our excellent laboratories, the long-time connections between Department and the industry.

PROGRAM OUTCOMES

  • 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 a member or leader in diverse teams, and in multidisciplinary settings.
  • 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.
  • 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.

COURSE STRUCTURE

Course Structure R20

DEPARTMENT DETAILS

CSE Data Science Faculty List

Quick links

Tirupati Campus

SVCE & SVEC
Karakambadi Road, Tirupati

Kadapa Campus

SVCK & SVDK
Balaji Nagar, Kadapa

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