Exploration and Practice of the Cultivation Model for Top Undergraduate Talents Based on Subject Contests in the AI Era  

作　　者：Ying Fang Zheng Wang Ming Peng Bin Liu Jianhui Zhao 

机构地区：[1]the School of Computer,Wuhan University,Wuhan,1430072,China

出　　处：《计算机教育》2023年第12期195-203,共9页Computer Education

基　　金：supported by the National Natural Science Foundation of China(No.62171325);the Experimental Technology Project of Wuhan University(No.WHU-2022-SYJS-11);the New Generation Computer Innovation and Entrepreneurship Center Project of Wuhan University。

摘　　要：With the rise of artificial intelligence and the rapid development of industrial applications based on deep learning,the demand for innovative and practical talents is rapidly increased.The cultivation of talents in computer discipline has attracted a lot of attention from universities,research institutions,and Internet giants.Subject contests play a crucial role in cultivating top undergraduate talents.This paper proposes a cultivation model that takes the industry application of deep learning as the background,and guides students to learn,practice,and innovate incrementally from machine learning application to deep learning application by participating in subject contests.It aims to help undergraduates to master the cutting-edge technologies and applications,and ultimately cultivate top,innovative,and practical undergraduate talents in the computer field in the era of artificial intelligence.

关 键 词：Artificial intelligence Deep learning Subject contests Top talents Cultivation model 

分 类 号：G642[文化科学—高等教育学]