高校物理教学中的困扰及解决措施探讨

目前我国不少高校在物理教学中仍存在一定的困扰,例如如何调动课堂积极性,使学生能够高效学习物理等。如果这些问题没有得到有效地解决,势必会影响学生对物理这门知识体系整体框架的了解,影响学生今后对物理的学习。本文就将探讨一下高校物理教学中存在的困扰以及相应的解决措施,以期对高校物理教学起到借鉴作用。     

项目式教学活动下的信息技术课堂利器:UMU互动教学平台

在线上与线下混合式教学切换的过程中,如何保证教学质量?如何提高教学效率?如何更好地利用互联网突破教学时空限制,扩大优质教育资源的共享共建?这些问题都困扰着一线教师.笔者在信息技术学科线上与线下过渡教学实践中,发现这些困难在UMU互动教学平台面前都可以迎刃而解.     

《汇编语言程序设计》的教学改革与实践

《汇编语言程序设计》是计算机专业学生的核心基础课,但也是实际教学中困扰教师和学生的一门课程。围绕《汇编语言程序设计》课程的特点,针对此课程的目前教学现状与改革实践,论述课程建设中出现的问题,探讨课程的改进与发展。     

大学计算机基础课程改革的探索与实践

随着计算机知识的普及,＂大学计算机基础＂课程的教学困扰着高校的任课教师,通过对课程的内容体系和教学组织方法的改革,多方位地满足了各层次学生的要求,并取得了较好的成效。     

实现收发电子作业的几种方式

在信息技术教学过程中,经常需要在网络环境下收发电子作业,但是在实现的过程中经常遇到一些问题:学生做好的作业虽然可以保存在教师指定的文件夹中,但常被其他的同学删掉.怎样开设几百甚至上千个学生账号,如何在服务器上为学生开辟空间,使用何种方式传递作业等等--这些问题一直困扰着不少信息技术教师,在此,笔者推荐几种实用的方式,以供大家参考.     

实现收发电子作业的几种方式

在信息技术教学过程中，经常需要在网络环境下收发电子作业．但是在实现的过程中经常遇到一些问题：学生做好的作业虽然可以保存在教师指定的文件夹中，但常被其他的同学删掉。怎样开设几百甚至上千个学生账号，如何在服务器上为学生开辟空间，使用何种方式传递作业等等——这些问题一直困扰着不少信息技术教师，在此，笔者推荐几种实用的方式．以供大家参考。     

在信息技术教学中渗透道德教育——以《网上交个好朋友》教学设计为例

作为一名信息技术实习教师已经有一个多月了，在这一个多月里，我收获了很多，一边沉浸在作为一名教师的欣喜和激动之中，一边为教学中的种种“意外”感到头疼。最困扰我们这些实习生的莫过于学生通过“网上邻居”上交作业时随意地删除、修改他人的作业，以及上课的过程中通过各种信息交流工具发送不文明信息等。     

高职高专语文课程构建浅析

当前,高职高专语文教学正处于困扰中,其学科定位、教学目的、课程设置、教学方式等都存在一定问题。要在大学语文教学中提高学生综合素质,就必须强调大学语文的重要性,旨在构建出现代大学生语文能力的教育和培养体系,着力实现现代语文教育对大学生人文精神的塑造。     

在信息技术教学中渗透道德教育--以《网上交个好朋友》教学设计为例

作为一名信息技术实习教师已经有一个多月了,在这一个多月里,我收获了很多,一边沉浸在作为一名教师的欣喜和激动之中,一边为教学中的种种"意外"感到头疼.最困扰我们这些实习生的莫过于学生通过"网上邻居"上交作业时随意地删除、修改他人的作业,以及上课的过程中通过各种信息交流工具发送不文明信息等.     

构建高职文秘专业《文书与档案》考试体系的探索

《文书与档案》是高职文秘专业的一门专业基础课。该课程考试如何既能把握学生对基础知识和基本理论的掌握情况,又能准确检验学生对文档操作的熟练性程度一直是困扰该门课程任课教师的问题,笔者经过多年的教学实践,探索出了该课程科学而实用的考试体系,以与档案教学界同仁共勉。     

ASP.NET页面间传值综述

对ASP.NET中各种页面间传值方法进行综述,阐述实现这些方法所必需的对象的概念、作用和特点,讨论这些方法的优缺点,通过实例代码给出这些方法的基本应用,并从生命周期、应用范围、可传递的数据类型和数据量4个方面对这些方法进行比较和分析。介绍了实现这些方法时常用的2种页面重定向方法。     

Five-stage Milstein methods for SDEs

In this paper, we consider the problem of computing numerical solutions for Itô stochastic differential equations (SDEs). The five-stage Milstein (FSM) methods are constructed for solving SDEs driven by an m-dimensional Wiener process. The FSM methods are fully explicit methods. It is proved that the FSM methods are convergent with strong order 1 for SDEs driven by an m-dimensional Wiener process. The analysis of stability (with multidimensional Wiener process) shows that the mean-square stable regions of the FSM methods are unbounded. The analysis of stability shows that the mean-square stable regions of the methods proposed in this paper are larger than the Milstein method and three-stage Milstein methods.     

图像轮廓提取方法研究

对现有的轮廓提取现状进行分析,把主要的轮廓提取方法划分为先验知识法、数学形态法、基于梯度的方法、水平集方法、活动轮廓模型方法、以及神经动力学方法六大类,并研究这些方法的主要特点。对轮廓提取方法研究进行展望,提出神经动力学方法是轮廓提取方法的发展方向。     

Vague值向Fuzzy值转化方法新探

用反例证明文献[1]提出的两种Vague值向Fuzzy值的转化方法是不满足准则1^[2]和准则2^[2]的。但是如果在这两个方法中补充参数的约束条件,则这两种方法皆是实用方法。提出两种Vague值向Fuzzy值新的转化方法,证明了它们是实用方法。     

New optimized symmetric and symplectic trigonometrically fitted RKN methods for second-order oscillatory differential equations

Symmetric, symplectic and trigonometrically fitted Runge–Kutta–Nyström (SSTFRKN) methods for second-order differential equations with oscillatory solutions are investigated. Symmetry, symplecticity and trigonometric fitting conditions for modified Runge–Kutta–Nyström (RKN) methods are presented. Order conditions for modified RKN methods are derived via the special Nyström tree theory. Two explicit SSTFRKN methods with variable nodes are derived. The two new methods are zero-dissipative due to symplecticity. Their dispersion orders are analysed and their periodicity regions are obtained. The results of numerical experiments show the robustness and competence of the new SSTFRKN methods compared with some highly efficient codes in the recent literature.     

Clustering of collinear line segments

A number of methods are presented for finding clusters in collinear collections of line segments. The methods are of two kinds — merging methods and splitting methods. Both make use of an evaluation function, and several alternative functions are illustrated. The methods are evaluated using randomly generated clusters on backgrounds containing varying amounts of noise.     

On the status and prospects of systems analysis methods in ukraine

The paper deals with the role and place of systems analysis methods in the solution of complex problems in various spheres of human activity in Ukraine. The social and socio-economic prerequisites for development of theory and applied methods are being considered. The main characteristics of the problems to which these methods are applied are formulated. The hierarchy of problems and methods used for solution of complex problems based on systems analysis methods is presented, and the main spheres of their application in Ukraine are presented. Translated from Kibernetika i Sistemnyi Analiz, No. 1, pp. 101–109, January–February, 2000.     

Spectral analysis of nonuniformly sampled data – a review

In this paper, we present a comprehensive review of methods for spectral analysis of nonuniformly sampled data. For a given finite set of nonuniformly sampled data, a reasonable way to choose the Nyquist frequency and the resampling time are discussed. The various existing methods for spectral analysis of nonuniform data are grouped and described under four broad categories: methods based on least squares; methods based on interpolation techniques; methods based on slotted resampling; methods based on continuous time models. The performance of the methods under each category is evaluated on simulated data sets. The methods are then classified according to their capabilities to handle different types of spectrum, signal models and sampling patterns. Finally the performance of the different methods is evaluated on two real life nonuniform data sets. Apart from the spectral analysis methods, methods for exact signal reconstruction from nonuniform data are also reviewed.     

Split-step Adams–Moulton Milstein methods for systems of stiff stochastic differential equations

In this paper we discuss new split-step methods for solving systems of Itô stochastic differential equations (SDEs). The methods are based on a L-stable (strongly stable) second-order split Adams–Moulton Formula for stiff ordinary differential equations in collusion with Milstein methods for use on SDEs which are stiff in both the deterministic and stochastic components. The L-stability property is particularly useful when the drift components are stiff and contain widely varying decay constants. For SDEs wherein the diffusion is especially stiff, we consider balanced and modified balanced split-step methods which posses larger regions of mean-square stability. Strong order convergence one is established and stability regions are displayed. The methods are tested on problems with one and two noise channels. Numerical results show the effectiveness of the methods in the pathwise approximation of stiff SDEs when compared to some existing split-step methods.     

Sliding mode observers for detection and reconstruction of sensor faults

This paper proposes two methods for detecting and reconstructing sensor faults using sliding mode observers. In both methods, fictitious systems are introduced in which the original sensor fault appears as an actuator fault. The original sensor faults are then reconstructed using a ‘secondary’ sliding mode observer. For both methods, there are certain conditions which must be satisfied for successful fault detection and reconstruction. The methods are demonstrated using a chemical process example.