创新创业理论研究与实践 ›› 2021, Vol. 4 ›› Issue (9): 141-143.

• 创新方法 • 上一篇    下一篇

案例教学法在《地下水模拟不确定性分析》教学中的应用与探究

童菊秀1,2   

  1. 1.中国地质大学(北京)水资源与环境学院,北京 100083;
    2.中国地质大学(北京)地下水循环与环境演化教育部重点实验室,北京 100083
  • 出版日期:2021-05-10 发布日期:2021-09-10
  • 作者简介:童菊秀(1981-),女,湖北武汉人,博士,副教授,研究方向:地下水科学与工程、水文水资源。
  • 基金资助:
    “中国地质大学(北京)2019年度本科教育质量提升计划项目资助”

Application and Exploitation of Case Study Teaching Method in Course of “Uncertainty Analysis for Groundwater Flow Modeling”

TONG Juxiu1,2   

  1. 1. School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing, 100083, China;
    2. Key Laboratory of Groundwater Circulation and Evolution, China University of Geosciences (Beijing), Ministry of Education, Beijing, 100083, China
  • Online:2021-05-10 Published:2021-09-10

摘要: 《地下水模拟不确定性分析》是面向地下水科学与工程及水文水资源专业的大学四年级学生开设的教学改革课程,是一门理论性、专业性较强的课程。该课程以地下水模拟为基础,将概率统计方法应用于地下水模拟中,对学生的数学抽象思维要求比较高。为了利于学生对地下水模拟不确定性分析方法的理解、掌握,提高教学效果,笔者将案例教学法应用于课程的教学中,通过具体的仿真案例,使抽象的知识具体化,进行具体分析,调动学生的学习积极性,拓展学生的创造性思维,使学生掌握地下水模拟不确定性分析方法。

关键词: 案例教学法, 地下水模拟, 不确定性分析

Abstract: “Uncertainty analysis for groundwater flow modeling” is a teaching reform course for the fourth-year university students majoring in groundwater science and engineering and hydrology and water resources. It is a theoretical and professional course. This course is based on groundwater flow modeling, applying probability and statistics methods to groundwater flow modeling, which requires students to have higher mathematical abstract thinking. In order to help students understand and master the uncertainty analysis method of groundwater simulation and improve the teaching effect, the author applies the case teaching method to the teaching of the course. Through the specific simulation cases, the abstract knowledge is concreted and analyzed concretely, so as to arouse the students' learning enthusiasm, expand their creative thinking, and make them master the uncertainty score of groundwater simulation analysis method.

Key words: Case study teaching method, Groundwater flow modeling, Uncertainty analysis

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