Research on Teaching Reform of Probability Theory and Mathematical Statistics in Artificial Intelligence Major

X. Tian
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引用次数: 0

Abstract

Probability Theory and Mathematical Statistics is a discipline focused both on theory and practice. For students majoring in Artificial Intelligence, it is a basic discipline they must master. Whether they have a good grasp of this course would affect their understanding and learning of other professional courses in the future, so it is greatly important to improve their learning enthusiasm for enhancing their ability to integrate theory with practice. The measures such as teaching with case and inspiration, changing assessment methods, increasing practical teaching, drawing mind map, etc. can cultivate students' ability to solve practical problems by applying Probability Theory and Mathematical Statistics. The teaching methods is reformed by using the mixed mode teaching based on online and offline. In this way, the teaching quality could be improved.
人工智能专业概率论与数理统计教学改革研究
概率论与数理统计是一门注重理论与实践的学科。对于人工智能专业的学生来说,这是他们必须掌握的一门基础学科。学生能否很好地掌握这门课程,将影响他们今后对其他专业课程的理解和学习,因此提高学生的学习热情,提高理论联系实际的能力是非常重要的。通过案例启发式教学、改变考核方式、增加实践教学、绘制思维导图等措施,培养学生运用概率论和数理统计解决实际问题的能力。采用基于线上和线下的混合教学模式,对教学方法进行改革。这样才能提高教学质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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