《粗糙集理论及其应用》研究生课程教学改革与实践

Reform and practice of graduate education course of rough set theory and its spplication

随着信息大数据时代的到来,与其相关的各种学科越来越受到广泛的重视.粗糙集理论及其应用在人工智能中发挥着非常重要的作用,并已获得巨大的经济效益.“粗糙集理论及其应用”课程对于不确定理论及其应用方向的硕士研究生,是一门应用价值较强的专业基础必修课程.文章探讨了该课程当前的教学现状,讨论了提高该课程教学效果的一些方案,并就粗糙集理论及其应用课程的改革与实践提出了一些相应的策略.

With the arrival of the era of information big data,more and more attention has been paid to various disciplines related to it.Rough set theory and its application in artificial intelligence play a very important role,and have achieved tremendous economic benefits.Rough set theory and its application is a basic compulsory course with strong application value for Postgraduates of uncertainty theory and its application direction.This paper probes into the current teaching situation of the course,discusses some schemes to improve the teaching effect of the course,and puts forward some corresponding strategies for the reform and practice of rough set theory and its application course.