Program Structure
Overview
The NYUAD Pre-College Robotics & Intelligent Systems immerses high-school students in the fundamentals of robotics, artificial intelligence, and engineering. The course follows a dual-path structure, integrating two complementary tracks:
- Robotics: mechanics, sensors, actuators, and control systems.
- Artificial Intelligence: machine learning, deep learning, computer vision, and programming.
The blended interdisciplinary approach enables students to design, prototype, and test intelligent systems through a course project. The program emphasizes hands-on learning, problem-solving, design thinking, teamwork, technical communication, and exposure to university-level engineering environments.
Learning Goals
Students will be able to:
- Explain fundamentals of robotics systems: mechanics, electronics, control, and AI.
- Develop software components that process data and control system behavior.
- Describe and apply the engineering design cycle and systems thinking principles in problem-solving.
- Collaborate effectively on a multi-stage design project.
Parents can expect a structured and supervised academic environment that supports skill development, critical thinking, teamwork, and communication.
Hands-On Experience
Throughout the program, students will:
- Understand circuits and prototype systems
- Collect and analyze sensor data
- Test and refine engineering solutions
- Collaborate in teams on a multi-stage design project
Students are encouraged to think independently, experiment, and iterate like engineers.
Each day includes three hours of structured labs and project work.