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Since its inception in 2001, the Department of Computer Science and Engineering at Government College of Engineering Kannur has been a distinguished center of learning in North Kerala. The Department offers a robust array of academic programs, including undergraduate (B.Tech) , Post graguate (Mtech) and doctoral (PhD) studies. In 2024, the Department proudly introduced a new MTech Program in Artificial Intelligence & Data Science, admitting an inaugural batch of 6 students, marking a significant expansion of its academic offerings.
Initially, the undergraduate B.Tech program had an AICTE-sanctioned intake of 30 students, which was later increased to 60 students in 2011. This four-year program, ....
“To be a centre of excellence in the field of computer science & engineering education and research, which extends its appreciated services to the industry and the society”
"To develop engineers with excellent analytic, design and implementation skills, who can expertise themselves as computer professionals, research engineers, entrepreneurs or as managers, while fulfilling their ethical and social responsibilities, in a globally competitive environment."
Within five to six years of time after B.Tech Computer Science & Engineering graduation, the graduates shall:
PEO1. Employed as computer science professionals beyond entry-level positions.
PEO2. Be able to route their talents into postgraduate and research programmes, promoting remarkable advancements in emerging areas.
PEO3. Have peer-recognized expertise together with the ability to articulate that expertise as computer science professionals.
PEO4. Apply good analytical, design, and implementation skills required to formulate and solving computational problems.
PEO5. Demonstrate that they can function, communicate, collaborate and continue to learn effectively as ethically and socially responsible computer science professionals.
After completing the B.Tech Computer Science & Engineering programme a graduate will be able to:
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
3. 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.
4. 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.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work:Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
11. 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.
12. 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..
By the completion of Computer Science & Engineering programme the student will have following Program Specific outcomes.
1. Foundation of Computing :Ability to understand the principles and working of computer systems. Students can assess the hardware and software requirements when faced with a computational problem.
2. Foundations of Software development: Ability to understand the structure and development methodologies of software systems. Possess professional skills and knowledge of software design process Familiarity and practical competence with a broad range of programming language and open source platforms.
3. Foundations of mathematical concepts : Ability to apply mathematical methodologies to solve computational task, model real world problems using appropriate data structures and suitable algorithms.
4. Applications of Computing and Research Ability : Ability to use knowledge in various domains to familiarize with broad research areas and hence to provide solutions to new ideas and innovations.
