摘要
为了解决高校人工智能专业课程体系建设中实验环境构建复杂的问题,通过深入研究Jupyter体系结构,充分运用Jupyter的开放标准和交互式计算特性,提出基于Jupyter的“课程+体验+实验”一体化实验平台方案平台既能为学生提供在线的人工智能课程学习、案例体验、代码运行、数据分析和实验建模等功能,也能为教师提供在线教学、资料分享、作业布置等功能,并实现用户环境隔离和服务器计算资源共享。实例应用表明:平台部署简单、效率高、成本低、功能全,可以为高校人工智能课程实验提供一套有效的教学工具。
In order to solve the complex problem of constructing experimental environment when building AI professional course system for colleges and universities,this thesis,after probing into the system structure of Jupyter,has taken full advantage of the open standard and characteristics of interactive calculation of Jupyter,and thereby proposed a integrated experimental platform solution of Course+Experience+Experiment based on Jupyter extension.The platform can not only provide students with such functions as online AI courses learning,case experience,code operation,data analysis and experimental modeling,but also provide teachers with various functions,including online teaching,data sharing,assignments,etc.Besides,it can realize environmental isolation for users and sharing of server calculation resources.As proved by practical application,the platform,with simplified deployment,can offer a full range of functions with high efficiency and low costs,providing a set of effective teaching tools for artificial intelligence course experiment in colleges and universities.
作者
蒋佳龙
林木辉
JIANG Jialong;LIN Muhui(Digital Fujian Institute of Big Data Security Technology Research,Fujian Normal University,Fuzhou 350117,China;College of Mathematics and Informatics,Fujian Normal University,Fuzhou 350117,China;Faculty of Education,Fujian Normal University,Fuzhou 350117,China)
出处
《实验室科学》
2022年第3期75-79,共5页
Laboratory Science
