Path:Home>News>Recent Activities

“TSINGHUA DATA WAY”The third phase of big data application development tool training finished successfully.

2021-12-19

 

In response to the《Digital Transformation Partnership Initiative》, Promote the research and development of industrial Internet of Things and big data innovation applications, cultivate industrial technology innovation talents and teachers, the National Engineering Laboratory of Big Data System Software, the Beijing Key Laboratory of Industrial Big Data System Software and Application, the Big Data Research Center of Tsinghua University, Together with 3D Power, from June 28 to July 2, they jointly held the third training of "Tsinghua data Way" big data application development tool. This training was held in the form of online lectures and practical courses. More than 130 teachers from more than 50 colleges and universities across the country, students from Tsinghua big data project courses, and engineering and technical personnel from software service companies participated in the training.

At the beginning of the course,Jianmin Wang(Executive Director of the National Engineering Laboratory for Big Data System Software) introduce the latest research work of Tsinghua big data software team; Xiaoqing Liu(vice president of 3D Power) introduced the situation of the new Industrial Internet of Things and big data innovation application competition set up in the 6th National College Engineering Application Technology Teacher Competition this year; Yingbo Liu(deputy director of Engineering Laboratory) taught DWF front-end and back-end scripts and back-end programming extension methods, and led the students to realize the integration of data applications and third-party artificial intelligence systems based on the DWF system. Kunying Geng (Senior engineer) introduced the topic of this competition and the practice case of Tsinghua Data as a big data software stack. Engineer Lin Chen introduced the form customization function and application of DWF tools. The 5-day DWF training came to a successful conclusion, and the trainees said that the course practice was very rewarding, and they would apply relevant knowledge in the follow-up teaching and research practice to promote the development and popularization of big data software technology in my country.