数据驱动在"电力系统分析"中的应用探究
Research on the Application of Data-driven in the Teaching of Power System Analysis
陈立征 1曹立霞 1侯传晶 1辛征 1郑学汉1
作者信息
- 1. 山东建筑大学 信息与电气工程学院,济南 250101
- 折叠
摘要
针对专业课教学面向高年级本科学生,授课内容具有一定难度,同时高年级学生往往存在学习积极性下降等现状,探索把工科研究的数据驱动理念与专业课教学相融合.以电气专业核心课程"电力系统分析"为例,采用数据分析、数据相关性预测等数据驱动手段,克服高年级专业课授课中的难点,使专业课教师在制定教学计划时能够有数据参考与理论支撑,以更好地服务于学生专业素质培养.
Abstract
Professional courses are set for senior undergraduate students,which have a certain degree of difficulty and are easy to lead to the low enthusiasm of students.Data-driven concept and the teaching of professional courses are combined in this paper.Data-driven methods such as data analysis and data correlation prediction are adopted in the core course Power System Analysis of electrical major to guide the difficulties in the teaching of senior professional courses.Teachers of professional courses can make teaching plans based on the data reference and theoretical support to better serve the cultivation of students'professional quality.
关键词
专业课教学/数据驱动/数据分析Key words
professional course teaching/data-driven/data analysis引用本文复制引用
基金项目
山东建筑大学教学改革研究项目(0103104)
山东建筑大学教学改革研究项目(0101301)
协同育人项目(220505812260254)
出版年
2024
NETL
NSTL
万方数据