Artificial Intelligence (AI) is a technology which enables a machine to simulate human behaviour. Machine Learning (ML) a subset of AI which allows a machine to automatically learn from past data without programming explicitly. ML algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

Vision

To produce the globally competent professionals in the field of computer science and engineering with socio economic and ethical values.

Mission

M1: To provide state-of-the-art computer science and engineering facilities through innovative teaching and learning practices.

M2: To prepare the graduates for higher learning, emphasizing research and entrepreneurship.

M3: To inculcate ethical values, leadership qualities, and professional behaviour to improve the living standards of society.

PEO1: To provide the graduates with effectively applying mathematics, science, and engineering methodologies for analyzing, designing, and implementing software solutions for real-world problems.

PEO2: To become recognized professional engineers with a demonstrated commitment to lifelong learning, continuous learning, and self-improvement to change in computer science engineering.

PEO3: To train the graduates to have basic interpersonal skills and a sense of social responsibility that covers them a way to become good team members and leaders.

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems

PO2: 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

PO3: 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

PO4: 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

PO5: 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.

PO6: 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

PO7: 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.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: 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.

PO11: 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.

PO12: 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.

PSO1: Domain-specific knowledge: Acquire knowledge of hardware functionality, design, and development of software components required to process the information.

PSO2: Problem-solving skills: Analyze data, identify data structures, design suitable algorithms, develop and maintain software for real-world problems.

List of Faculties