地质工程智能监控与大数据处理课程教学思考

Thinking on the Teaching of Geological Engineering Intelligent Monitoring and Big Data Processing

该文对地质工程智能监控与大数据处理选修课程进行了详细探讨,旨在适应行业转型升级的需求。该文分析了该课程在教学实践中存在的主要问题,包括大数据分析方法与传统地质工程课程差异较大,对学生数理知识要求较高,并针对这些问题提出了几项改进建议:将理论与实践紧密结合,优化教学内容;精准选择教学资源,注重应用实战;充分利用Python生态系统,强化实践教学;设计实战型实验项目,提升学生的实践能力;构建知识网络图谱,理清课程逻辑,通过这些措施,旨在提升课程的教学效果,帮助学生更好地掌握智能监控与大数据处理技能。

This paper provides a detailed exploration of the elective course on intelligent monitoring and big data processing in geological engineering,aimed at meeting the needs of industry transformation and upgrading.The study analyzes the main issues in the practical teaching of this course,including significant differences between big data analysis methods and traditional geological engineering courses,as well as high requirements for students’mathematical and physical knowledge.To address these issues,several improvement suggestions are put forward:integrating theory with practice to optimize teaching content;carefully selecting teaching resources with a focus on practical application;fully utilizing the Python ecosystem to strengthen practical teaching;designing practical experimental projects to enhance students'hands-on abilities;and constructing a knowledge network diagram to clarify the course logic.These measures aim to improve the teaching effectiveness of the course and help students better master the skills of intelligent monitoring and big data processing.