The 2023 China Undergraduate Computer Design Contest Shanghai Finals is officially open!

The China Undergraduate Computer Design Contest (hereinafter referred to as the "Competition") is one of the earliest competitions for undergraduates in Chinese universities, certified by the Ministry of Education. Since its inception in 2008, it has been the sixteenth session. The competition belongs to the ranking list of the national ordinary college students' competition. It is organized by the computer-related teaching committee of the Ministry of Education, or independently or jointly. It aims to improve the computer skills and comprehensive quality of college students . The competition promotes teaching and innovation , and cultivates innovative, compound and application-oriented talents with all-round development of "morality, intelligence, physique, beauty and labor" for the country.

This year's competition has eleven major categories in different fields. Since 2021, Hejing Technology has been co-organizing with the competition organizing committee and the host universities to organize the big data application competition. This is the third year .

On July 18, the 2023 China Undergraduate Computer Design Contest officially opened in Shanghai. Professor Chen Ge, vice president of Donghua University, Zhao Lixia, deputy director of the Higher Education Department of the Shanghai Municipal Education Commission, executive deputy director of the competition organizing committee, and university computer science team of the Ministry of Education The presence of the deputy director of the course teaching steering committee, Professor Du Xiaoyong, assistant to the president of Renmin University of China, and other leaders, marked the official entry of the big data application category into the national competition. After school-level selection and fierce competition in provincial competitions, a total of 293 outstanding works in this category were promoted and qualified for national competition evaluation .

​As a co-organizer, Hejing is very honored to be invited by the competition organizing committee to participate in the evaluation of the national competition. Both judges have very rich experience:

Wang Haoyu, doctor of health management, chief consultant and pre-sales leader of Hejing Technology . A senior practitioner of data science in the fields of communication, finance, and medical care. He used to be the head of data analysis of Ericsson Data Core Network China, the big data risk control expert of Ping An Group Technology Company Financial OneConnect, and the AI ​​innovation consultant and open artificial intelligence of AstraZeneca. Head of Smart Lab. WAIC 2020 World Artificial Intelligence Conference Medical Artificial Intelligence Branch Director. He has published many SCI articles with his first and second works, and has a number of artificial intelligence-related patents/soft works. He is good at judging data science-related technologies and projects from the perspective of application and innovation.

Chen Zhihui, an expert in the data science competition of Hejing Technology , has four years of experience in organizing and judging data science competitions in government, enterprise and colleges. He has organized the 4th Data Application Innovation and Entrepreneurship Competition in Shandong Province, Shandong Qilu Fengyun Meteorological Intelligent Algorithm Challenge, Jinan University Digital Business Challenge, Yulin Normal University School Training Competition and other competitions and participated in the review work. In-depth communication with many universities and enterprises, familiar with the whole process of data talent training. He is good at planning data innovation events based on the teaching content of colleges and universities, and puts students in real industry problems to exercise their practical ability. The evaluation work is multi-dimensional and pertinent, focusing on the overall quality of the contestants.

Hejing hereby wishes all contestants good results in the national competition!

"Promote learning through competition, promote teaching through competition, and promote innovation through competition" as the theme of the competition, which coincides with the training concept of Hejing to help colleges and universities cultivate applied data science talents that better meet the needs of society.

Based on the new vision of national higher education, Hejing is committed to promoting education reform and curriculum reform in colleges and universities. Based on the OBE results-oriented education model , it integrates the powerful data science collaboration platform ModelWhale , the Hejing community with rich practical case resources , and Hejing Kesai Years of competition experience and competition modules have built the most complete product + resource + service system , which has been applied to the construction of data science-related majors (courses) systems in many colleges and universities——assisting the School of Information, Renmin University of China to build "Interdisciplinary teaching and research integration new data analysis platform", assisting the School of Public Administration of Sichuan University to build a "big data application training system", assisting the Economic Management Experimental Teaching Center of Jinan University to build a "business big data teaching training platform"...——acquired Widely praised by customers from double first-class to ordinary colleges and universities.

Hejing hopes to use the accumulated and precipitated experience and methodology to sort out the needs and pain points with colleges and universities, and to build and improve the data-driven related professional (course) system, so as to bring substantial help to everyone. For any related needs, you are welcome to search and enter  the ModelWhale official website to communicate with us.

Sponsor: Organizing Committee of China University Student Computer Design Contest

Organizer: Donghua University

Co-organizer: Renmin University of China

           Shanghai Hejin Information Technology Co., Ltd.

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Origin blog.csdn.net/ModelWhale/article/details/131812957