Training objectives: to cultivate applied and scientific research-oriented graduates with a combination of theoretical, technical, applied and cross-disciplinary knowledge of artificial intelligence, who are able to work on product development, design and technical support in the fields of electronic information, computer, automation, intelligent agriculture and other fields.
Main courses: Introduction to Artificial Intelligence, C++Programming, Python Programming, Optimization Methods, Computer Vision, Machine Learning, Deep Learning, Sensor Technology, Cloud Computing and Big Data Technology, etc.
Employment Outlooks: Graduates can work in the IT industry on the search, computer vision, pattern recognition and other product development, design, technical support and other work. They can also work in traditional industries such as industry, agriculture, business, finance and education to achieve AI+empowerment upgrades.