首页|基于课程思政的贝叶斯公式案例式教学探索

基于课程思政的贝叶斯公式案例式教学探索

扫码查看
着眼概率论与数理统计课程的特点,坚持知识传授和价值引领相统一,围绕"贝叶斯公式",针对刷单诈骗和机器学习分类问题,建构了两个教学案例:案例一通过问题描述、建立模型、分析问题、问题引申等步骤将刷单诈骗问题提炼为贝叶斯公式的通用型教学案例;案例二通过介绍条件独立定义和朴素贝叶斯分类器,将机器学习中分类问题做成了应用教学案例.
Teaching Case Exploration of Bayes Formula on Idelogical and Political Education
Focusing on the characteristics in the course of probability theory and mathematical statistics and adhereing to the unity of knowledge transmission and value guidance,two teaching cases were presented aiming at the issues of brushing fraud and machine learning classification based on the Bayes formula.In the first case,the brushing fraud problem is refined into a universal teaching case of Bayes formula by steps such as problem description,modeling,analysis,and problem extension.In the second case,classification problem in machine learning is refined into an applied teaching case by introducing the definition of conditional independence and naive Bayesian classifiers.

probability theoryBayes formulateaching casenaive Bayes

江慧、咸怡帆、于春华

展开 >

合肥工业大学数学学院,合肥 230601

合肥工业大学马克思主义学院,合肥 230601

概率论 贝叶斯公式 教学案例 朴素贝叶斯

2024

大学数学
教育部数学与统计学教学指导委员会,高等教育出版社,合肥工业大学

大学数学

影响因子:0.304
ISSN:1672-1454
年,卷(期):2024.40(6)