Candidates who have passed 10+2 examination in 2017,2018 or appearing in 10+2 examination in 2019 are only eligible to apply for B.Tech(4 Years) course of the University.
Should have studied in regular full time formal education in their schooling/college.
Pass in 10 +2 or its equivalent with at least 60% marks in Physics, Chemistry and Mathematics taken together.
Should have born on or after 01.07.1998.
Program Educational Objectives (PEOs)
The B. Tech program in Computer Science and Engineering aims to prepare the graduates with the following objectives:
The graduates shall be able to provide solutions to Computer Science & Engineering problems involving design, simulation, and analysis of algorithms for theory and applications of computing.
The graduates will be able to perceive the limitations and impact of engineering solutions in social, legal environmental, economical and multidisciplinary contexts.
The graduates shall demonstrate professional responsibility and thrive to reinforce their knowledge being a part of formal or informal educational programs.
Program Outcomes (POs)
The program outcomes are:
Engineering knowledge: Ability to apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Ability to 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: Ability to 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 on complex problems: Ability to 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: Ability to 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: Ability to 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: Ability to understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team: Ability to function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Ability to 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: Ability to 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: Ability to 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 Outcomes (PSOs)
The program specific outcomes are:
Ability to design and develop hardware and software in emerging technology environments like Data Analytics, Mobile Computing & Communication, RF Communication and Smart Antennas.
Ability to carry out research in the field of multidisciplinary engineering such as Artificial Intelligence, Machine Learning, Real Time Systems, Internet of Things and Wireless Sensor Networks.
Ability to utilize the knowledge in solving practical real life technological problems in the field of Computer Science & Communication Engineering.