B. Tech. (Bachelor of Technology) in Computer Science and Engineering

Ever since its inception on 7th October 1996, the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham has been progressing towards excellence in the field of teaching and research. With a team of dedicated, experienced and qualified faculty members, the department has witnessed tremendous growth in academics and research. Major research areas include Image Processing, Multimedia Mining, Evolutionary Computing, Network Security and Wireless Networks. The department is progressing towards setting up of research laboratories and R & D centers.

The department offers B.Tech in Computer Science and Engineering. Regular interaction with software companies has helped the department in maintaining its syllabus abreast with technology and industrial standards. The rigorous learning environment has helped make students job-ready.

Program Outcomes (PO):

• 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 and 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.

Curriculum based on recommendations of IEEE-ACM Joint task force on Computing Curricula

• Right combination of courses from Humanities, Basic Sciences, Engineering, and  Computer Science
• Mathematics courses to supplement the Computer Science requirements
• Unique course in India on “Computational Thinking for Problem Solving” to aid in better logical thinking and  strengthen programming skills
• Innovative use of tools and programming languages like Scratch, Raptor, Python and Visual Java
• Industry case studies in courses like Software Engineering, Database Management Systems and Data Mining
• Project based courses to integrate  the theoretical and practical aspects of computer science
• Courses reflecting industry trends like Machine Learning and Data Mining, Cloud Computing, Service Oriented Architecture, OS for Smart Devices, Pervasive Computing, Big Data Analytics, etc
• Open Labs for tech geeks and coders to take up competitive coding
• Curriculum prepares the students towards internship at industries, Research labs and Exchange Programmes at International Universities
• Support for publications, patenting and entrepreneurship