概率论是研究随机性或不确定性等现象的 数学

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新版《概率论》第三版经过了彻底的修订和扩充,在一本书中对现代概率进行了全面的阐述。它是一个真正的现代阐述版,不仅提供经典的结果,而且材料,将是重要的未来研究。很多已经添加到以前的版本,包括8个全新的章节,随机度量,Malliavin 微积分,多元数组,和随机微分几何。除了重要的改进和修订,一些早期章节已经被完全重写。为了帮助读者,这些材料被分为十个主要领域,每一个领域对于任何严肃的研究生和研究者来说都是必不可少的,无论他们的专业是什么。

每一章很大程度上是独立的,包括大量的练习,使书理想的自学和设计研究生水平的课程和研讨会在不同的领域和不同的水平。广泛的注释和详细的参考书目使它很容易超越所提出的材料,如果需要。

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Contribution: In this study, an alternative educational approach for introducing quantum computing to a wider audience is highlighted. The proposed methodology considers quantum computing as a generalized probability theory rather than a field emanating from physics and utilizes quantum programming as an educational tool to reinforce the learning process. Background: Quantum computing is a topic mainly rooted in physics, and it has been gaining rapid popularity in recent years. A need for extending the educational reach to groups outside of physics has also been becoming a necessity. Intended outcomes: This study aims to inform academics and organizations interested in introducing quantum computing to a diverse group of participants on an educational approach. It is intended that the proposed methodology would facilitate people from diverse backgrounds to enter the field Application design: The introductory quantum physics content is bypassed and the quantum computing concepts are introduced through linear algebra instead. Quantum programming tasks are prepared in line with the content. Pre/post-test design method and Likert scale satisfaction surveys are utilized to measure knowledge acquisition and to evaluate the perception of the learning process by the participants. Findings: Conducted pre/post-test design survey shows that there is a statistically significant increase in the basic knowledge levels of the participants on quantum computing concepts. Furthermore, no significant difference in the gain scores is observed between the participants from different STEM-related educational backgrounds. The majority of the participants were satisfied and provided positive feedback.

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