Teddy Technology specializes in big data mining technology research and development as well as consulting and training, and has established a sound cooperative relationship with Shantou University. In 2019, the two parties jointly applied for collaborative education projects of the Ministry of Education and the Guangdong Provincial Department of Education, laying a solid foundation for the construction of the base. Leveraging Teddy Technology's advantages as a high-tech enterprise and Shantou University's educational resource advantages, the two parties jointly established the "Shantou University · Teddy Intelligent Practical Teaching Base" in 2020. The base is located in the Guangzhou High-Tech Industrial Development Zone, with a teaching area of over 1,000 square meters, equipped with advanced teaching facilities and practical platforms, providing students with an excellent learning environment.
The base has a strong teaching staff, including experienced professors from Shantou University and senior engineers from Teddy Technology. The practical teaching system is well-developed, covering multiple majors such as Data Science and Big Data Technology, and offering a rich array of practical courses, including Python programming, data mining, and machine learning. In addition, the base provides real enterprise case studies as teaching content, enabling students to learn and master cutting-edge technologies through practice. The two parties have established a set of effective cooperation mechanisms, including regular project seminars, faculty exchange visits, and student exchanges. Through these mechanisms, the two parties have conducted in-depth cooperation and exchange in teaching content, curriculum systems, and practical projects. Major cooperation outcomes include jointly developed teaching resources, jointly supervised student projects, and outstanding achievements in various data mining competitions.
Overall, the cooperation between Shantou University and Teddy Technology has not only promoted the effective alignment of educational resources with industry needs, but has also provided students with a high-quality practical teaching platform, cultivating a large number of professionals in the field of data science. In the future, both parties will continue to deepen cooperation, jointly promote the development of the practical teaching base, and deliver more outstanding data science talents to society.