Computer Science & Engineering (CSE) is a dynamic and rapidly evolving field that offers exciting opportunities due to its constant innovation and high demand across various industries. The field, which combines computing principles with engineering to design, develop, and innovate technological solutions, leads to a wide range of career paths in areas such as software development, data analysis, cybersecurity, and artificial intelligence.
Program Educational Objectives (PEOs)
Our graduated would
- Excel professionally in the field of Computer Science and Engineering with an aspiration of lifelong learning.
- Pursue higher education and research in multidisciplinary domains
- Exhibit good leadership qualities, interpersonal skills and ethical values in diversified teams and contribute to societal needs
Program Specific Outcomes (PSOs)
A graduate of the Computer Science and Engineering Program will demonstrate:
- Apply mathematical models, software engineering principles and programming paradigms to solve real world problems.
- Comprehend various aspects of computer hardware, communication models and security principles for developing computing solutions.
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 modelling 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 oneās 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.
PROFESSOR
Ph.D in Enhancing Trust for Storage and Access in Cloud Environment
PROFESSOR
M.Tech,
PhD in Social Network Sentiment Analysis (Anna University)
ASSOĀCIATE PROFESSOR
M.Tech,
PhD in Computer Science & Engineering
ASSOĀCIATE PROFESSOR
M.Tech,
PhD in Computer Science & Engineering
ASSISĀTANT PROFESSOR
M.Tech,
PhD in Machine Learning

