Basic and Discipline specific Knowledge : Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems.

Problem analysis: Identify and analyze well-defined engineering problems using codified standard methods.

Design/development of solutions: Design solutions for well-defined technical problems and assist with the design of system components or processes to meet specified needs.

Engineering Tools, Experimentation and testing: Apply modern engineering tools and appropriate techniques to conduct standard tests and measurements.

Engineering practices for society, sustainability and environment: Apply appropriate technology in the context of society, sustainability, environment, and ethical practices.

Project Management: Use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well-defined engineering activities.

Life-long learning: Ability to analyze individual needs and engage in updating in the context of technological changes.

Basic Knowledge of AI/ML concepts: Understand and apply basic artificial intelligence and machine learning techniques to solve simple engineering problems.

Data Handling and Model Implementation: Collect, preprocess data, and implement basic machine learning models to solve real-world poblems.

Ethical and Responsible AI: Develop AI/ML solutions with awareness of ethical principles, ensuring fairness, transparency, and responsibility in the application of technology.

Understand and apply basic artificial intelligence and machine learning techniques to solve simple engineering problems. Collect, preprocess data, and implement basic machine learning models to solve real-world problems. Develop AI/ML solutions with awareness of ethical principles, ensuring fairness, transparency, and responsibility in the application of technology.