新工科背景下大数据基础课程的优化与创新

Optimization and Innovation of Big Data Basic Course Teaching Method under the Background of “Engineering Education”

大数据基础课程体现出多学科融合、多行业辐射、实践性强等特点,探索新工科背景下大数据基础课程的教学方法具有重要意义,在分析传统教学方法存在的典型问题基础上,阐述了新工科背景下大数据基础课程教学方法的创新和优化。教学实践表明,所提方法能较好地培养学生解决复杂工程问题的能力,提升其创新意识、创新思维和创新能力。

The basic curriculum of big data technology embodies the characteristics of multidisciplinary integration, multi-industry radiation, and strong practicality. It is of great significance to explore the teaching methods of big data basic courses in the context of new engineering. On the basis of analyzing the typical problems existing in traditional teaching methods, this paper expounds the innovation and optimization of teaching methods of big data basic course in the new engineering background. The teaching practice shows that the proposed method can better cultivate the students’ ability to solve complex engineering problems, and improve their innovation consciousness, innovative thinking and innovative ability.