Vision

The Department of Computer Science and Engineering aims to become a prominent centre for producing proficient and competent Computer professionals.

Mission

The Computer Science and Engineering Department of RVSCET Endeavors,

In support of this mission, we will:

• To produce successful graduates with professional and leadership qualities to serve the needs of growing IT Industry.
• To collaborate with the renowned software development Industries and uplift the teaching learning process.
• To enrich the faculty team through FDP’s, participation in conferences, workshops and encouraging research publications.
• To inspire and up-skill students to develop ingenious and research based innovative computer science project for socio economical benefits.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs):

• We provide a victorious career path for graduates in their IT and its related industries, pursue higher education and research, or evolve as entrepreneurs.
• We will Analyze, design, develop, test and deploy appropriate solutions for real world computing problems.
• We apply software engineering principles at process, project and product levels.
• Exhibit ethical attitude and social responsibility in their profession

PROGRAM OUTCOMES (POs):

Engineering Graduates will be able to:

• 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, responsibilities, and norms of the engineering practice
• Individual and teamwork:
  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, 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.

PROGRAM SPECIFIC OBJECTIVES (PSOs)

After successful completion of the degree, the students will be able to:

• Shine in software development including mobile technologies to solve complex computation task with soft skills.
• Pertain appreciable knowledge of IoT, Cloud Computing and Cyber Security to develop reliable IT solutions.
• Reveal proficiency in Artificial Intelligence, Big Data Analytics and also Machine Learning for providing solutions to real world problems in Industry and Research establishments.