基于开源模式的研究生人工智能课程建设与实践  

Construction and Practice of Postgraduate Artificial Intelligence Course Based on Open Source Mode

作　　者：蔡波[1] 罗剑[1] 于耀翔 柯爱华 CAI Bo;LUO Jian;YU Yao-xiang;KE Ai-hua(School of Cyber Science and Engineering,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学国家网络安全学院,湖北武汉430072

出　　处：《软件导刊》2023年第5期206-211,共6页Software Guide

基　　金：国家自然科学基金项目(61971316);武汉大学研究生精品课程建设项目(670100051)。

摘　　要：开源平台的兴起为人工智能发展与持续创新提供了动力。通过分析当前研究生人工智能课程建设中的问题、挑战与时代要求,提出拥抱开源平台的人工智能课程建设原则与实施路径。重点分析、设计面向开源能力评价体系,以开源评价驱动课程建设创新,提升学生在人工智能领域研究中的综合能力,致力于培养熟悉开源的研究型人才。The rise of open source platforms has provided impetus for the development and continuous innovation of artificial intelligence.By analyzing the problems,challenges,and requirements of the times in the construction of current graduate artificial intelligence courses,and proposes principles and implementation paths for embracing open source platforms in the construction of artificial intelligence courses.By focusing on analyzing and designing an open-source capability evaluation system,we aim to drive innovation in course construction through open-source evaluation,enhance students'comprehensive abilities in research in the field of artificial intelligence,and cultivate research-oriented talents familiar with open-source.

关 键 词：开源模式 人才培养 人工智能 课程建设 

分 类 号：G434[文化科学—教育学]