The curriculum centers on robotics engineering and technology, integrates with the University's  existing teacher resources and courses, connects with relevant industries, and is characterized by robotic science and technology research and development, talent cultivation, and industry-university cooperation. Relevant courses are as follow:

  • Deep Learning and Practice(3 credits)

  • Machine Learning(3 credits)

  • Computer Vision(3 credits)

  • Vehicular Vision System(3 credits)

  • Real-time and embedded systems(3 credits)