Computer Science & Engineering

Program Educational Objectives (PEO):

PEO-1: The program aims to provide foundational theoretical knowledge and hands-on experience in Computer Science & Engineering with a focus on Artificial Intelligence and Machine Learning, preparing students for successful careers, advanced studies, or entrepreneurial ventures in these cutting-edge fields.

PEO-1: To enable the students to use existing knowledge and create the new knowledge using multiple disciplines in solving real-life problems.

PEO-3: To develop the professional attitude and ethical competencies, so that the students would be able to face the work-life and personal challenges with utmost grace, and make positive impact on the environment and society.

Program Outcomes (PO):

PO-1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO-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.

PO-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.

PO-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.

PO-5: 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.

PO-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.

PO-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.

PO-8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO-9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO-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.

PO-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.

PO-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.

Program Specific Outcomes (PSO):

PSO-1: A student will be able to identify, design, and develop suitable computing components, algorithms, and data structures specific to Artificial Intelligence and Machine Learning to process, analyze, and synthesize data, ensuring efficiency and scalability in solving real-world problems.

PSO-2: A student will be able to integrate knowledge from multiple disciplines, such as mathematics, statistics, computer science, and domain-specific areas, to propose viable AI & ML solutions to complex problems, demonstrating the ability to adapt and innovate across various application domains (e.g., healthcare, finance, robotics, etc.).