Rajalakshmi Institute of Technology (RIT), Chennai

B.E. Computer Science & Engineering (Artificial Intelligence and Machine Learning)

Program Educational Objectives(PEO)

PEO1:

To excel in society, students will significantly advance their knowledge of the principles of engineering, science, and technology.

PEO2:

To pursue higher education in an AI environment to address issues in the real world.

PEO3:

To receive training in creating, developing, and quality assurance knowledge of AI and ML technologies in order to produce solutions to challenges encountered in the real world.

PEO4:

To provide students with the knowledge and skills necessary to use computational tools and AI and ML effectively.

PEO5:

To encourage graduates with advancing the knowledge of AI and ML approaches among entrepreneurs and researchers.

Program Outcomes(PO)

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.

Program Specific Outcomes(PSO)

PSO1:

Create and implement optimized solutions for computationally demanding applications.

PSO2:

Use Artificial Intelligence and Machine Learning Tools and Techniques to solve multidisciplinary problems.

PSO3:

Create AI and Machine Learning models on data to facilitate better decision-making in societal issues.