PEO,PO,PSO’s

BVCE · ACADEMICS

Artificial Intelligence
& Machine Learning

Empowering future innovators through intelligent systems, machine learning, automation and next-generation technologies.

PEO,PO,PSO’s

Program Educational Objectives (PEOs)

Graduates of the programme will, within 3–5 years after graduation:

PEO1: Establish successful professional careers in Artificial Intelligence, Machine Learning and allied fields by applying technical knowledge and analytical skills to solve real-world problems.

PEO2: Pursue higher education, research, entrepreneurship and continuous professional development in emerging technologies.

PEO3: Demonstrate professional ethics, effective communication, teamwork and leadership while contributing responsibly to society.

PROGRAMOUTCOME

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 using 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 specified needs with appropriate consideration for public health, safety, cultural, societal, and environmental considerations.

PO4: Conduct Investigations of Complex Problems

Use research-based knowledge and methods including design of experiments, analysis and interpretation of data, and synthesis of 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 limitations.

PO6: The Engineer and Society

Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice.

PO7: Environment and Sustainability

Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of sustainable development.

PO8: Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of 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 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 (PSOs)

Upon completion of the programme, graduates will be able to:

PSO1: Design, implement and evaluate Machine Learning and Deep Learning models using appropriate algorithms, mathematical foundations and computational tools.

PSO2: Develop intelligent solutions using Artificial Intelligence techniques, including Natural Language Processing, Computer Vision and Reinforcement Learning, for real-world applications.