| “数据挖掘”课程教学探讨 |
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| 引用本文： | 曹楠源,许卫霞.“数据挖掘”课程教学探讨[J].教育教学论坛,2022(4). |
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| 作者姓名： | 曹楠源 许卫霞 |
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| 作者单位： | ;1.上海立信会计金融学院信息管理学院 |
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| 基金项目： | 2020年度上海立信会计金融学院信息管理学院高地大项目“数值计算微专业建设”。 |
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| 摘 要： | “数据挖掘”课程是大数据相关专业的重要专业课程,通过数据挖掘可以发现数据中隐藏的价值。该课程采取理论与实践相结合的教学模式,在理论教学方面主要讲解数据挖掘的经典算法;在实践教学方面使用Python编程实现理论部分的经典算法,让学生通过算法的编程进一步掌握算法。按照课程思政改革的要求,在课程设计中设置一些以社会实际问题为主题的案例,在提高学生学习兴趣的同时引导学生树立正确的价值观。对于复杂的、抽象的数据挖掘理论算法开设线上课程,有利于学生回顾重要的、难理解的知识点,帮助学生掌握理论知识。
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| 关 键 词： | 数据挖掘 课程思政 教学设计 |
Discussion on the Teaching of Data Mining |
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| CAO Yuan-nan,XU Wei-xia.Discussion on the Teaching of Data Mining[J].jiaoyu jiaoxue luntan,2022(4). |
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| Authors: | CAO Yuan-nan XU Wei-xia |
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| Institution: | (School of Information Management,Shanghai Lixin University of Accounting and Finance,Shanghai 201209,China) |
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| Abstract: | The course of Data Mining is an important professional course for big data related majors.The teaching mode of this course is the combination of classical theory and practice.In theory teaching,it mainly explains the classical algorithms of Data Mining.In practical teaching,Python programming is used to realize the classical algorithm of the theoretical part,so that students can further master the algorithm through algorithm programming.According to the requirements of curriculum ideological and political education,some cases with the theme of social practical problems are set up in the curriculum design to guide students to establish correct values while improving students’interest in learning.For complex and abstract Data Mining theories and algorithms,setting up online courses is helpful for students to review important and difficult knowledge points and help students master theoretical knowledge. |
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| Keywords: | Data Mining curriculum ideological and political education teaching design |
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