Program Educational Objectives (PEO)
PEO1: Effectively collaborate and communicate as an individual and team member to solve broad-based problems in computer engineering and AI/ML applications.
PEO2: Pursue advanced education in artificial intelligence and machine learning, and implement interdisciplinary projects by leveraging AI and ML techniques across various domains.
PEO3: Cultivate strong entrepreneurial skills, adhere to professional ethics, and contribute to development of innovative AI and ML-based solutions for societal and environmental challenges.
Program Outcomes (POs)
PO1: Basic and Discipline Specific Knowledge – Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve engineering problems.
PO2: Problem Analysis – Identify and analyze well-defined engineering problems using codified standard methods.
PO3: Design/Development of Solutions – Design solutions for well-defined technical problems and assist with the design of systems, components or processes to meet specified needs.
PO4: Engineering Tools, Experimentation and Testing – Apply modern engineering tools and appropriate techniques to conduct standard tests and measurements.
PO5: Engineering Practices for Society, Sustainability and Environment – Apply appropriate technology in context of society, sustainability, environment and ethical practices.
PO6: Project Management – Use engineering management to manage projects and effectively communicate about well-defined engineering activities.
PO7: Life-long Learning – Ability to analyze individual needs and engage in updating in the context of technological changes.
Program Specific Outcomes (PSO)
PSO1: Students will acquire the skills to utilize innovative tools and techniques for problem-solving in areas such as Artificial Intelligence and Machine Learning.
PSO2: Students will integrate computer engineering knowledge with management principles to effectively manage software and hardware projects.