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21.
作为一门重要的数据库基础课程,《Access数据库》的教学不但可以使学生学会一种数据库技术,而且还能够奠定学生将来学习高级数据库技术的基础,因此,将案例式教学法应用《Access数据库》教学中具有重大的实际意义。为此,对案例式教学法的内涵进行阐述,《Access数据库》教学中案例式教学法的实际应用策略,以及应用案例式教学法需要注意的一系列事项。 相似文献
22.
基于对《土木工程CAD》教学中案例教学方法存在的问题的分析,结合《土木工程CAD》课程教学内容,通过精心选择案例,在课堂教学、实训教学和课程考核中应用教学案例,改善课程教学效果。教学实践表明,案例教学方法的应用明确课程的学习内容,激发学生的学习兴趣,保证课程教学效果,提高学生分析和解决问题的能力。 相似文献
23.
肖建宏 《电脑与微电子技术》2014,(11):35-37
针对传统《C#程序设计》课程教学不利于计算机专业学生工程能力培养的状况,提出将CDIO教育理念与案例教学相结合的教学模式。该教学模式有效地实现启示知识、启迪思维和培养学生C#应用程序设计能力的目标,取得良好的教学效果.并获得学生普遍的欢迎。 相似文献
24.
肖建田 《电脑与微电子技术》2014,(18):24-28
将案例运用于教学,可以提高学生的学习兴趣,教学效果良好。但很难将要求掌握的知识点放置于某个案例中.或者说一个案例不可能囊括所有的知识点。所以,如何选用某些典型案例,并将案例分解成一个个的“任务”,成了案例教学中的难点。以Web新闻发布系统为例,对案例任务教学进行一些尝试。 相似文献
25.
朱正国 《电脑与微电子技术》2014,(7):64-67
通过对《大学计算机基础》教学现状及存在的问题进行分析,探讨一种与传统教学方法不同的新型教学方法,即案例教学法。重点研究如何有效地把案例教学方法应用到教学中,从而提高教学效率。实践证明案例教学法是一种有效的教学方法.有利于培养学生的学习兴趣和动手能力,能取得良好的教学效果。 相似文献
26.
The origin of olfactory stimuli involved in the host microhabitat location inCotesia flavipes, a parasitoid of stem-borer larvae, was investigated in a Y-tube olfactometer. The response of femaleC. flavipes towards different components of the plant-host complex, consisting of a maize plant infested with two or more larvae of the stem borerChilo partellus, was tested in dualchoice tests. The concealed lifestyle of the stem-borer larvae did not limit the emission of volatiles attractive to a parasitoid. A major source of the attractive volatiles from the plant-host complex was the stem-borer-injured stem, including the frass produced by the feeding larvae. Moreover, the production of volatiles attractive to a parasitoid was not restricted to the infested stem part but occurs systemically throughout the plant. The uninfested leaves of a stem-borer-infested plant were found to emit volatiles that attract femaleC. flavipes. We further demonstrate that an exogenous elicitor of this systemic plant response is situated in the regurgitate of a stem-borer larva. When a minor amount of regurgitate is inoculated into the stem of an uninfested plant, the leaves of the treated plant emit volatiles that attract femaleC. flavipes. 相似文献
27.
28.
Walking tracks of Colorado potato beetles,Leptinotarsa decemlineata Say, were recorded on a locomotion-compensator in response to wind, odors of host plantsSolanum tuberosum L. and nonhost plantsLycopersicon hirsutum f.glabratum C.H. Mull, and to mixtures of these plant species. Host-plant odor induced positive anemotactic responses in starved females, whereas odor of the nonhostL. hirsutum was neither repellent nor attractive. The attractiveness of host-plant odor, however, was neutralized in the odor blend of plant species. Masking the attractive host-plant odor will hinder the beetle's searching for host-plant patches, and this principle may be exploited in pest control by mixed cropping.The locomotion-compensator was constructed with financial support from the Foundation for Fundamental Biological Research (BION), which is subsidized by the Netherlands Organization for the Advancement of Pure Research (ZWO), grant 14-02-02. The first author was supported by a grant from the French Ministry of Industry and Research. 相似文献
29.
Support vector machine forecasting method improved by chaotic particle swarm optimization and its application 总被引:2,自引:2,他引:0
By adopting the chaotic searching to improve the global searching performance of the particle swarm optimization (PSO), and
using the improved PSO to optimize the key parameters of the support vector machine (SVM) forecasting model, an improved SVM
model named CPSO-SVM model was proposed. The new model was applied to predicting the short term load, and the improved effect
of the new model was proved. The simulation results of the South China Power Market’s actual data show that the new method
can effectively improve the forecast accuracy by 2.23% and 3.87%, respectively, compared with the PSO-SVM and SVM methods.
Compared with that of the PSO-SVM and SVM methods, the time cost of the new model is only increased by 3.15 and 4.61 s, respectively,
which indicates that the CPSO-SVM model gains significant improved effects.
Foundation item: Project(70572090) supported by the National Natural Science Foundation of China 相似文献
30.
In this paper,a fast neural network model for the forecasting of effective points by DEA model is proposed,which is based on the SPDS training algorithm.The SPDS training algorithm overcomes the drawbacks of slow convergent speed and partially minimum result for BP algorithm.Its training speed is much faster and its forecasting precision is much better than those of BP algorithm.By numeric examples,it is showed that adopting the neural network model in the forecasting of effective points by DEA model is valid. 相似文献