基于雨课堂的随机信号分析理论实践

Theory and Practice of Random Signal Analysis Based on Rain Class

理论与实践统一是教学模式发展的必然趋势。作为大学工科的专业基础课,随机信号分析是大学基础课程与专业课程的关键纽带。理论教学的同时融入具体实践是提升教学效果的重中之重。雨课堂不仅体现了互联网+的教学模式,而且雨课堂的教学数据恰好具有典型的随机信号特征。随机信号分析的核心基础是概率论与随机过程。课堂中全体同学回答选择题的正确率分布正是随机信号分析中概率论的典型实践;课堂中每位同学在整个教学过程的表现正是随机信号分析中随机过程的典型实践。实时利用雨课堂及其教学数据不仅能够有意提高本科生的课堂注意率,而且能够实时将随机信号分析理论与实践相统一,达到学以致用的教学效果。

The unity of theory and practice is the inevitable trend of the development of teaching mode. As a professional basic course of engineering, stochastic signal analysis is the key link between basic courses and professional courses. The most important thing to improve the teaching effect is to integrate the theory teaching with the concrete practice. Rain classroom not only embodies the Internet plus teaching mode, but also has typical random signal characteristics in the rain classroom teaching data. The core foundation of stochastic signal analysis is probability theory and stochastic process. The distribution of the correct rate of all students answering multiple-choice questions in class is the typical practice of probability theory in random signal analysis;the performance of each student in the whole teaching process is the typical practice of random process in random signal analysis. The real-time use of rain class and its teaching data can not only improve the attention rate of undergraduates,but also unify the theory and practice of random signal analysis in real time, so as to achieve the teaching effect of applying what they have learned.