课程文献中心 更多>>

关键词： CDIO   数据结构   教学模式  

摘要： 针对目前数据结构课程教学过程中存在的问题,在课程教学过程中引入CDIO教学理念,通过构建―教、学、做‖一体化的教学模式,并采取一系列的教学改革措施,对教学内容、教学方法及课程实践体系进行重设计,从而更好地培养学生的实践动手能力、创新能力以及团队协作能力。

关键词： 数据结构   案例教学   教学研究  

摘要： 数据结构是介于数学、计算机硬件和计算机软件之间的核心课程,在计算机科学与技术专业课程体系中占据非常重要的地位。由于数据结构是一门理论性与实践性很强的专业基础课,所以教学难度相对较大。针对传统数据结构教学存在的问题,该文就案例式教学、实验设计和过程性考核三个方面对数据结构课程教学进行了初步探索。

关键词： 富互联网应用   多媒体课件   FLEX   二叉树  

摘要： RIA兼有B/S结构的灵活性和C/S结构的强交互性,是未来多媒体课件设计的一个趋势.本文结合“数据结构二叉树”一节的内容,论述如何使用FLEX技术开发RIA平台下的多媒体课件,并针对其中的技术难点提出相应的解决方案,希望能够为广大RIA多媒体课件制作者提供一个参考和借鉴的案例.

关键词： 移动学习   数据结构   辅助教学模式  

摘要： 为了解决数据结构课程内容多、学时少和课堂时间受限等方面存在的问题,提出了基于移动学习的数据结构辅助教学模式。该模式以学生为中心,移动学习资源为支撑平台,支持学生自主和随时随地学习为教学设计,将教学逐步向课堂外拓展,满足学生的随时随地学习需求。实践表明,基于移动学习的数据结构辅助教学模式不仅能满足学生的自主学习、随时随地学习的需要,而且学生能更加便捷,高效地利用零碎时间进行学习,从而提高学习效率和学习质量。

关键词： 微课   《数据结构》   教材建设  

摘要： 教材建设是高等院校教学工作中的重要组成部分。在教育信息化快速发展的趋势下,高等院校《数据结构》教材建设相对滞后,存在问题。微课的兴起对传统教学模式带来了不小的冲击,但同时也为教材建设带来了的革新机会。本文讨论了《数据结构》教材建设的现状,阐述了微课的内涵和特征,介绍了多元化教材的主要特色,给出了建设《数据结构》多元化教材的设计思路。

关键词： 方差分析   多重比较   试验设计  

摘要： 为了研究不同的数据处理方法对方差分析结果的影响,该研究以省沽油6个种源的果实长度为例,研究了直接方差分析法、群体抽样法、分层抽样法、群体抽样求平均法及分层抽样取平均法5种数据处理方法分别对数据结构的影响。研究表明不同的数据处理方法得到排序后求平均值的方法能更好地保留原来群体的数据结构。研究结果可以为林业科学研究的试验设计及数据处理提供参考。

关键词： 数据结构   JAVA语言  

ISBN: (纸本)9787111567288

摘要： 本书是一本数据结构的优秀教材，Java语言与数据结构两条知识主线贯穿始终，这两条主线既相互独立又相互支撑。本书介绍了计算机编程中使用的数据结构和算法，包括29章，每章涉及一个ADT或其不同实现的规格说明和用法；书中贯穿9个Java插曲，涉及Java的高级特性。本书主要讲述了组织数据、设计类、包、栈、递归、排序、队列、双端队列、优先队列、线性表、有序表、查找、字典、散列、树、二叉查找树、堆、平衡查找树、图等内容，并对算法的效率进行了分析。

关键词： bioinformatics   data science   machine-learning   multiple sclerosis   prostanoids   ceramides  

摘要： Lipid signaling has been suggested to be a major pathophysiological mechanism of multiple sclerosis (MS). With the increasing knowledge about lipid signaling, acquired data become increasingly complex making bioinformatics necessary in lipid research. We used unsupervised machine-learning to analyze lipid marker serum concentrations, pursuing the hypothesis that for the most relevant markers the emerging data structures will coincide with the diagnosis of MS. Machine learning was implemented as emergent self-organizing feature maps (ESOM) combined with the U*-matrix visualization technique. The data space consisted of serum concentrations of three main classes of lipid markers comprising eicosanoids (d = 11 markers), ceramides (d = 10), and lyosophosphatidic acids (d = 6). They were analyzed in cohorts of MS patients (n = 102) and healthy subjects (n = 301). Clear data structures in the high-dimensional data space were observed in eicosanoid and ceramides serum concentrations whereas no clear structure could be found in lysophosphatidic acid concentrations. With ceramide concentrations, the structures that had emerged from unsupervised machine-learning almost completely overlapped with the known grouping of MS patients versus healthy subjects. This was only partly provided by eicosanoid serum concentrations. Thus, unsupervised machine-learning identified distinct data structures of bioactive lipid serum concentrations. These structures could be superimposed with the known grouping of MS patients versus healthy subjects, which was almost completely possible with ceramides. Therefore, based on the present analysis, ceramides are first-line candidates for further exploration as drug-gable targets or biomarkers in MS.

关键词： causal inference   individual participant data   meta-analysis   multi-level models   randomized experiment   research synthesis  

摘要： We construct a framework for meta-analysis and other multi-level data structures that codifies the sources of heterogeneity between studies or settings in treatment effects and examines their implications for analyses. The key idea is to consider, for each of the treatments under investigation, the subject's potential outcome in each study or setting were he to receive that treatment. We consider four sources of heterogeneity: (1) response inconsistency, whereby a subject's response to a given treatment would vary across different studies or settings, (2) the grouping of nonequivalent treatments, where two or more treatments are grouped and treated as a single treatment under the incorrect assumption that a subject's responses to the different treatments would be identical, (3) nonignorable treatment assignment, and (4) response-related variability in the composition of subjects in different studies or settings. We then examine how these sources affect heterogeneity/homogeneity of conditional and unconditional treatment effects. To illustrate the utility of our approach, we re-analyze individual participant data from 29 randomized placebo-controlled studies on the cardiovascular risk of Vioxx, a Cox-2 selective nonsteroidal anti-inflammatory drug approved by the FDA in 1999 for the management of pain and withdrawn from the market in 2004.

关键词： C语言   程序设计   数据结构   教学   实践   考核  

摘要： 梳理C程序设计语言、数据结构的历史发展脉络,揭示C语言在计算机科学中的重要地位,说明学习C语言的重要性。帮助学习者了解C语言的语法规则是如何应对编程实际需要的,这可使语言的学习与实际编程紧密联系。另外,根据教学实际,提出了一个关于C语言学习的考核方案,并提出了C语言终生学习的理念。