信息高速公路上的教学信号处理

G.C. Orsak
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引用次数: 5

摘要

如今,在承担大型和详细的项目时,公司团队合作正变得越来越普遍。这项在竞争力方面至关重要的活动,无疑将随着“信息高速公路”的出现而大大增加。从教学的角度来看,现代现实要求我们作为教育工作者培养与这些活动相关的毕业生的新技能。这些技能包括:(1)学习在更大的分布式群体中识别技术专长和兴趣,(2)以有意义的方式分割任务,(3)跨高速网络整合结果,(4)验证系统级性能,以及(5)编写和撰写全面的最终报告。乔治梅森大学正在进行一个由美国国家科学基金会资助的项目,该项目描述了在信号处理和系统分析的初级和高级课程的背景下教授和发展上述技能。详细介绍了基于当前远程学习概念的团队学习方法。讨论了该计划的扩展,该计划以建设性的方式通过“连接实验室”和共同的教学基地整合了许多大学
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teaching signal processing on the Information Superhighway
It is becoming increasingly more common today for companies to team together when undertaking large and detailed projects. This activity, which is vital in terms of competitiveness, will no doubt increase substantially with the advent of the "Information Superhighway". From an pedagogical point of view, this modern reality requires that we as educators develop new skills in our graduates which are relevant for these activities. These skills include: (1) learning to identify technical expertise and interest within the larger distributed group, (2) segmenting tasks in a meaningful fashion, (3) integrating results across a high speed network, (4) verifying system level performance, and (5) compiling and writing a comprehensive final report. An ongoing NSF funded project based at George Mason University is described for teaching and developing the above mentioned skills in the context of junior and senior level courses in signal processing and system analysis. Methods of team learning based on current notions of distance learning are detailed. Extensions to this program which integrate in a constructive manner a number of Universities via "connected laboratories" and a common instruction base are discussed.<>
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