面向新工科的"数据挖掘"课程创新体系探索与实践
Exploration and Practice for Innovation of"Data Mining"for New Engineering
冯林 1李子豪 1韩鸿宇 1李晓宁1
作者信息
摘要
针对大数据、人工智能、数字经济等新质生产力对数据挖掘人才的需求,建立了以"知识&应用创新能力&素质(Knowledge & application Innovation Abilities & Qualities,KIAQ)"为核心价值的"数据挖掘"课程体系,形成了具有新工科特点的"数据挖掘"知识结构.多年的课程实施结果表明,新的课程创新体系较好地解决了传统教学方法存在的问题,有效实现了课程目标.
Abstract
Focusing on demands of data mining engineers with original innovation abilities of new pro-ductive forces in the fields of big data,artificial intelligence,and digital economy,a core value course system with"Knowledge & Application Innovation Abilities & Quality(KIAQ)"has been proposed.Also,a knowledge structure for"Data Mining"with new engineering disciplines has been construc-ted.A few years of course practice have shown that the new teaching model effectively solves the is-sues of traditional teaching methods,and achieves the course objectives.
关键词
新工科/数据挖掘/创新能力/教学改革/实践教学Key words
new engineering/data mining/innovation abilities/teaching reform/practical teaching引用本文复制引用
出版年
2025
NETL
NSTL
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