《概率论与数理统计》的教学探索

本文以概率论与数理统计的教学实践为基础,从加强教材建设、激发学习兴趣、采用多种教学方法、引进多媒体教学等四个方面,对《概率论与数理统计》课程的教学提出了几点建议,以此提高教学质量。     

对一堂小学数学统计与概率课的思考

通过对一堂小学数学“统计与概率”课的剖析,笔者认为新课程小学数学课堂应在坚持基础性和探究性的统一,突出学生问题意识的培养的同时,还应注重加强教师专业知识的继续学习及开放式的教学设计．     

Bubble entrainment, spray and splashing at hydraulic jumps

INTRODUCTION A hydraulic jump is the sudden transition from a high-velocity, supercritical open channel flow into a slow-moving, sub-critical flow (Belanger, 1840; Bakhmeteff, 1932; Henderson, 1966; Chanson, 2004a). It is characterised by a sudden rise of the free-surface, with some strong energy dissipation and mixing, large-scale turbulence, air entrainment, waves and spray (Fig.1). Early experimental studies of air bubble entrainment were conducted in terms of the quantity of entrain…     

“支架式”教学与MOOC相融合在概率论与数理统计教学中的应用

文章提出由教师基于建构主义创建合理支架,引导学生完成MOOC学习的教学方法。以此为出发点选取“全概率公式与贝叶斯公式”为教学实例,给出MOOC制作、支架构建、板书教学的具体教学过程设计,积极探索MOOC混合式教学模式的构建。在新的教学模式下,学生能自主地进行MOOC学习,培养创新精神,实现自我发展。     

初等统计思想的传播比较——中外高中数学教材比较之二

初等统计思想的传播主要是靠中学统计数学教学实现的 ,本文对中、英、日三国的部分高中数学教材中的统计数学部分作了比较。     

特征性主位的功能分析

特征性主位指的是些出现在句首、仅具有主位特性但却不能穷尽主位潜势的主位成分。章根据Halliday的系统功能语法的有关理论,从构成及其构成成分的功能意义以及结构特征等方面讨论特征性主位的有关情况,彰显其“形式是意义的体现”的语言观。     

谈随机事件及独立性

本文对概率统计定义给了比较深刻出的阐述,又给出了两个事件相互独立的两种等阶定义。     

基于EXCEL/VBA的马尔柯夫预测法软件实现

马尔柯夫预测法在经济、科技、环境等领域有广泛应用,但计算过程复杂繁琐,我们基于EXCEL/VBA开发出相应软件可以迅速有效的解决此问题。     

The skewness of computer science

Computer science is a relatively young discipline combining science, engineering, and mathematics. The main flavors of computer science research involve the theoretical development of conceptual models for the different aspects of computing and the more applicative building of software artifacts and assessment of their properties. In the computer science publication culture, conferences are an important vehicle to quickly move ideas, and journals often publish deeper versions of papers already presented at conferences. These peculiarities of the discipline make computer science an original research field within the sciences, and, therefore, the assessment of classical bibliometric laws is particularly important for this field. In this paper, we study the skewness of the distribution of citations to papers published in computer science publication venues (journals and conferences). We find that the skewness in the distribution of mean citedness of different venues combines with the asymmetry in citedness of articles in each venue, resulting in a highly asymmetric citation distribution with a power law tail. Furthermore, the skewness of conference publications is more pronounced than the asymmetry of journal papers. Finally, the impact of journal papers, as measured with bibliometric indicators, largely dominates that of proceeding papers.