Bachelor of Engineering Technology (Robotics & AI)

“To develop ethical leaders and technical experts capable of harnessing AI and robotic systems to provide sustainable socio-economic solutions, bridging the gap between emerging technologies and societal needs”

• PEO-1 : Demonstrate technical competence in the integration of hardware and software for robotic and intelligent systems.
• PEO-2 : Apply problem-solving skills to address industrial automation challenges using Artificial Intelligence and Machine Learning while exhibiting professional ethics
• PEO-3 : Engage in lifelong learning to keep pace with advancements in robotics and AI technologies while developing leadership qualities in multidisciplinary team environments.

• Practical Learning : Access to state-of-the-art Robotics and AI laboratories for hands-on experimentation.
• Industry Integration : Curriculum designed in alignment with NTC (National Technology Council) standards and industrial requirements.
• Focus on Emerging Tech : Specialized training in Computer Vision, smart vehicles Autonomous Navigation, and Deep Learning.

The curriculum is divided into foundational engineering principles and specialized AI technologies, including

• Robotics : Understanding the physical movement and control of robotic structures.
• Artificial Intelligence : Implementing search algorithms, logic, and reasoning in machines.
• Machine Learning & Data Science: Training models to recognize patterns and make data-driven decisions.
• Embedded Systems : Designing the "brains" of robots using microcontrollers and real-time operating systems (RTOS).
• Control Systems: Managing the behavior of dynamic systems through feedback loops.