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Program Educational Objectives (PEO)
PEO 1: Current Industry Practices: Our Graduates will Identify and apply fundamental concepts, algorithms and methodologies, to formulate, analyse, design, and evaluate Artificial Intelligence and Machine Learning systems.
PEO 2: Research and Higher Studies: Our Graduates will be equipped with a strong foundation in Mathematics, Engineering fundamentals and AI Principles, to tackle complex Machine Learning and Artificial Intelligence problems.Contemporary principles, algorithms, technologies, methodologies and tools will enable them to pursue higher learning, R&D activities and consultancy.
PEO 3: Social Responsibility: Our Graduates will work as a team to develop AI and ML applications, while recognizing the ethical, economic and environmental implications of their work.
Program Specific Outcomes (PSO)
PSO1: Programming:
- Our Graduates will be able to easily fit into the right roles in industryand achieve higher career goals. Alternatively, they will beequipped and motivated to become entrepreneurs, or pursue higher education.
- Our Graduates will solve real-world problemsby applyingArtificial Intelligence and Machine Learning algorithms.
- Our Graduates will demonstrate team spirit, good communication skills, efficient project management and documentation skills.
PSO2: Practical Solutions:
- Our Graduates will be able to apply the principles of mathematics, science and core computing, along with Artificial Intelligence and Machine Learning, to solve interdisciplinary, real-world problems.
- Our Graduates will be able to identify the need for deep learning, computer vision, and natural language processing, to develop intelligent software products focused on application performance.
- Our Graduates will demonstrate team spirit, good communication skills, efficient project management and documentation skills.