世界一流大学人工智能本科人才培养模式及启示——基于麻省理工学院、斯坦福大学和卡内基梅隆大学的比较分析

The Training Model of Artificial Intelligence Undergraduate Talents in World-Class Universities and Its Enlightenment ——Based on Comparative Analyses of Massachusetts Institute of Technology, Stanford University and Carnegie Mellon University

人工智能正在引领新一轮工业革命,我国该如何培养人工智能本科人才是目前需要面对的迫切问题。文章通过分析麻省理工学院、斯坦福大学和卡内基梅隆大学的人才培养目标、师资与教学资源、课程体系后发现,这3所世界一流大学分别采取了不同的人工智能本科人才培养模式:麻省理工学院的通用型人才,斯坦福大学的通专融合型人才以及卡内基梅隆大学的专业型人才。通过对这三种人工智能本科人才培养模式的比较分析,该研究将为我国人工智能本科人才培养提供重要启示。

Artificial intelligence(AI)is leading a new round of industrial revolution,and how to cultivate artificial intelligence undergraduate talents in China is an urgent issue that needs to be faced.After analyzing the talent training goals,faculties,teaching resources and curriculum systems of Massachusetts Institute of Technology(MIT),Stanford University and Carnegie Mellon University(CMU),it was found that the three world-class universities adopted different artificial intelligence undergraduate talent training models.Meanwhile,it was found that MIT offered AI courses to cultivate general talents.Stanford University cultivated general specialized and integrated talents.However,CMU cultivated professional talents.The three comparative modes of undergraduate talents training in artificial intelligence provides important enlightenment for undergraduate talents training in China.