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 University College Student Competition, which aims to stimulate the interest and potential of college students in learning computer knowledge and skills, improve their comprehensive ability to use information technology to solve practical problems, promote learning through competition, promote teaching through competition, and Competition promotes innovation and cultivates innovative, compound and application-oriented talents for the country in an all-round development.
This year's competition has eleven major categories in different fields. The big data theme competition belongs to the big data application category, which is a new sub-category since 2021. Since 21, Hejing Technology has been co-organizing the competition with the competition organizing committee and the organizers of major categories. This year is the third year. response. At present, the 2023 (16th) China Undergraduate Computer Design Competition big data application category (including big data theme competition - Hejing Track) national competition review has successfully concluded in the final area in Shanghai!
This year's big data theme competition - Hejing Track officially started on the Hejing Community Event Platform in January. A total of 1827 players formed 1158 teams to sign up. They came from Henan, Shandong, Liaoning, Guangdong, Jiangsu and other parts of the country. The background covers all grades from double first-class to undergraduate majors in ordinary colleges and universities.
Hejing platform received a total of 713 entries from 1158 participating teams; after school-level selection and fierce competition in provincial competitions, a total of 70 outstanding works were promoted to the national competition; In the end, 2 teams won the first prize in the national competition , 18 teams won the second prize in the national competition , and 44 teams won the third prize in the national competition .
Many contestants have benefited a lot from the competition's training of applied computer science and data science talents:
Ren Jiayu, the author of "Data Interpretation of Climate Change and Global Response" from East China Normal University and the first prize of the Whale Track National Competition, shared: "In the competition, we deeply felt the close relationship between nature and human beings through data visualization. The process combined with machine learning has further enhanced our understanding of the model's approach . Great benefit."
Luo Jinxiu, one of the authors of the work "Global Climate Warming and Energy Transition" from Nanjing University and the second-prize winner of the Hejing Circuit National Competition, said: "In this competition, members of our team explored from multiple aspects through the combination of multiple data sets. Global warming and energy transition, which prompted me to further study the process of data analysis and model building, and gave me a deeper understanding of the value of data . In addition, the communication between members of the same group also exercised our team The ability to collaborate. This entry was a very rewarding experience."
As a co-organizer, Hejing not only set up tracks for big data themed competitions, deeply supported school-level selections and provincial competitions , but was also honored to be invited to participate in the national competition review of big data application categories . During the process, Hejing found that , some excellent works far exceeded expectations:
The first prize work of the national competition "Smart Electricity Future - Regional Power Load Forecasting Deep Learning Platform" by Shi Haonan, Shi Haoyu, and Chen Shuo from Nanjing University responded to the "14th Five-Year" Modern Energy System Planning, based on a large number of domestic, Real electricity consumption data, training artificial intelligence model for data mining, used to predict regional power load, in order to achieve the purpose of "accurately predicting electricity crisis", assisting the State Grid to arrange a reasonable power generation plan in advance, to avoid power ramping and switching off Occurrence of power outages, etc.
Wang Haoyu, the chief consultant of Hejing Technology, gave high praise to the three contestants in the review of excellent works. He believes that the work not only has an extraordinary concept, but also has a clear and complete production idea. More importantly, it solves the problems in actual production and can be truly implemented in the industry . Realize the combination of industry and learning . From this point of view, this work fully matches the concept of OBE's results-oriented education model, that is, based on practical problems and building a knowledge system around the problems, so as to have the ability to solve practical problems-this is also in line with the competition's theme of "enhancing college students' use of information technology The comprehensive ability to solve practical problems, promote learning through competitions, promote teaching through competitions, and cultivate all-round development of applied talents for the country".
"The cultivation of college students' computer application ability is a long-term systematic project. The computer design competition is a good practical exploration to deepen the cultivation of higher education talents, model innovation and practical teaching reform." The speech by Zhao Lixia, deputy director of the Higher Education Department of the Education Commission. During the process of reviewing the works of "Smart Electricity Future", Hejing became more convinced that the training concept of applied computer science and data science talents should be integrated into the daily teaching of colleges and universities , so as to assist More students accumulate practical experience, enabling them to have the ability to truly solve practical problems-this is not only improving the competitiveness of talents, but also promoting the development and progress of the entire industry.
Based on the new vision of national higher education, Hejing promotes the reform of higher education and changing courses into missions. 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 Branch 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 professional (course) systems in many colleges and universities—for example, assisting Renmin University of China in information The college built a "new data analysis platform for the integration of interdisciplinary teaching and research", assisted the School of Public Administration of Sichuan University to build a "big data application training system", and assisted the Economic Management Experimental Teaching Center of Jinan University to build a "business big data teaching training platform"...— —Win wide acclaim from customers from double first-class to ordinary colleges and universities.
Hejing hopes to further implement the theme and spirit of the competition, use the accumulated and accumulated experience and methodology, sort out the needs and pain points with universities, and carry out the establishment and improvement of data-driven related professional (course) systems, so as to cultivate applied talents for the country. bring substantial help. 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.