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美国高校计算机工程本科课程设置特色分析 总被引:1,自引:1,他引:0
介绍了美国UIUC、IIT、西北大学和普度大学的计算机工程课程设置情况,分析了这4所大学计算机工程本科课程设置的主要特色。当今美国高校计算机工程本科课程设置都基本符合美国工程教育认证机构ABET的EC2000指标体系要求,体现了大工程观在美国各类高校的工学院得到普遍认可,为我国高等工科院校的计算机科学与技术本科专业实施工程教育改革提供了有益借鉴。 相似文献
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随着社会信息化技术的发展,计算机应用技术专业作为计算机科学与技术一级学科下的二级学科,在金融信息化、国民经济和社会生活的发展中,其作用日益凸显。本论文通过分析财经类院校计算机应用技术专业实验课程体系设置目标,介绍其他院校实验项目的设置情况,结合本校特点,提出建立适合自身发展的实验教学课程体系。 相似文献
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针对金融市场大数据人才的旺盛需求和高校数据分析课程体系尚未成熟的状况,分析信息管理与信息系统专业的课程设置和教学分布,结合财经类高校的金融学、经济学等专业资源,提出基于胜任力模型重构数据分析课程体系,实现金融大数据分析的学科交叉融合。 相似文献
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我国高校计算机基础课程体系改革对比与分析 总被引:6,自引:0,他引:6
计算机基础教育在本科教育中具有重要地位,在新形式下如何合理设置计算机基础课程体系,是各高校面临的问题。本文通过部分高校计算机基础课程体系设置的对比与分析,对于如何合理设置计算机基础课程进行了探讨。 相似文献
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本文结合当前应用型地方高校的实际情况,通过对城建类工科专业计算杌基础课程体系现状的分析,提出了适应应用型城建类专业的计算机基础课程体系.为培养和提高城建类应用型本科专业学生的综合素质和创新精神奠定基础。 相似文献
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需求导向型计算机基础课程建设模式之探讨 总被引:1,自引:0,他引:1
随着信息技术的快速发展和深入应用,社会对各类人才应用计算机技术的需求日益多样化和具体化。以上海财经大学为背景,结合学科和专业特色介绍财经类高校本科毕业生的就业行业情况,基于经管类岗位的职位分析面向业务的数据库技术应用方式,借鉴计算机基础教育的新理念,探讨财经类高校"数据库技术与应用"计算机基础课程的建设模式。 相似文献
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根据业务流程模型的特征,基于笔者前期工作中给出的两个不同约束条件下的受限k-means行为聚类算法,提出确定最优子流程数的方法。基于对流程结构的假设,同时结合行为语义的经验阈值限定,给出了确定子流程数恰当上限值的方法,以达到减少循环次数的目的。根据k值的变化,分别基于子流程结构紧密性特征和流程结构树,在循环过程中设计增量式方法 ,对簇中心进行简便的递增;设计合理的有效性指标,对抽象结果模型进行评估,进而生成最佳子流程数;利用真实的流程模型库对设计的方法进行实验验证,得到的最优子流程数与人工设计的结果非常接近。 相似文献
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《数据结构》是计算机学科中一门十分重要的核心课程,而对于算法的理解则是学好该课程的关键。为了使学生更好的理解算法,作为对课堂教学的有益补充,我们设计开发了《AVL树算法的动态演示》,以帮助学生理解数据结构算法。本文通过对这种交互式动态演示的设计实现过程的详细描述,着重讨论了AVL树动态演示的算法实现。 相似文献
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高校计算机实验室的管理与维护是保证实验室教学顺利的关键。以南京财经大学计算机中心实验室为例,分析计算机管理系统在实验室中遇到的问题。对PNS(Pre-environment Network System)集中化电脑管理系统在实际运用中的效果进行总结。 相似文献
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机房排课系统基于B/S编程模式采用JavaWeb技术充分利用校园网络实现教师在线申报上机课、计算机自动排课的功能。主要对机房排课系统的系统需求、系统设计、系统的基本功能描述等做出了详细论述,并对其中较为关键的排课、调课过程的算法流程加以描述。 相似文献
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本文结合我校教学的实际情况,探讨了计算机信息管理系统课程实践教学的改革,主要包括"三阶段"的技术要求、"企业化"的分组管理、"过程化"的项目运行和"合理化"的考核评价办法。 相似文献
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孙勇彬 《数码设计:surface》2014,(10):166-168
南京财经大学美术类学生在选修大学英语后续选修课程时,都是和其它经济管理类、政法类、理工类学生一起参与模块课程的选修。结果发现,每年各门英语选修课程考试不及格人数美术类学生占比最高,造成不少学生对英语产生厌学情绪。而这也是全国其他多数设有艺术学院的高校面临的问题,具有一定的普遍性。针对上述问题,文章认为,要根据美术类学生的需求,开设一门适合他们的"艺术英语"选修课程。这门课程在教学理念、内容和方法上与其它课程应该存在很大不同。 相似文献
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In software testing, developing effective debugging strategies is important to guarantee the reliability of software under
testing. A heuristic technique is to cause failure and therefore expose faults. Based on this approach mutation testing has
been found very useful technique in detecting faults. However, it suffers from two problems with successfully testing programs:
(1) requires extensive computing resources and (2) puts heavy demand on human resources. Later, empirical observations suggest
that critical slicing based on Statement Deletion (Sdl) mutation operator has been found the most effective technique in reducing
effort and the required computing resources in locating the program faults. The second problem of mutation testing may be
solved by automating the program testing with the help of software tools. Our study focuses on determining the effectiveness
of the critical slicing technique with the help of the Mothra Mutation Testing System in detecting program faults. This paper
presents the results showing the performance of Mothra Mutation Testing System through conducting critical slicing testing
on a selected suite of programs.
Zuhoor Abdullah Al-Khanjari is an assistant professor in the Computer Science Department at Sultan Qaboos University, Sultanate of Oman. She received
her BSc in mathematics and computing from Sultan Qaboos University, MSc and PhD in Computer Science (Software Engineering)
from the University of Liverpool, UK. Her research interests include software testing, database management, e-learning, human-computer
interaction, programming languages, intelligent search engines, and web data mining and development. ~Currently, she is the
coordinator of the software engineering research group in the Department of Computer Science, College of Science, Sultan Qaboos
University. She is also coordinating a program to develop e-learning based undergraduate teaching in the Department of Computer
Science. Currently she is holding the position of assistant dean for postgraduate studies and research in the College of Science,
Sultan Qaboos University, Sultanate of Oman.
Martin Woodward is a Senior Fellow in the Computer Science Department at the University of Liverpool in the UK. After obtaining BSc and Ph.D.
degrees in mathematics from the University of Nottingham, he was employed by the University of Oxford as a Research Assistant
on secondment to the UK Atomic Energy Authority at the Culham Laboratory. He has been at the University of Liverpool for many
years and initially worked on the so-called ‘Testbed’ project, helping to develop automated tools for software testing which
are now marketed successfully by a commercial organisation. His research interests include software testing techniques, the
relationship between formal methods and testing, and software visualisation. He has served as Editor of the journal ‘Software
Testing, Verification and Reliability’ for the past thirteen years.
Haider Ramadhan is an associate professor in the Computer Science Department at Sultan Qaboos University. He received his BS and MS in Computer
Science from University of North Carolina, and the PhD in Computer Science and AI from Sussex University. His research interests
include visualization of software, systems, and process, system engineering, human-computer interaction, intelligent search
engines, and Web data mining and development. Currently, he is the chairman of the Computer Science Department, College of
Science, Sultan Qaboos University, Sultanate of Oman.
Swamy Kutti
(N. S. Kutti) is an associate professor in the Computer Science Department at Sultan Qaboos University. He received his B.E. in Electronics
Engineering from the University of Madras, M.E. in Communication Engineering from Indian Institute of Science (Bangalore),
and the MSc in Computer Science from Monash University (Australia) and PhD in Computer Science from Deakin University (Australia).
His research interests include Real-Time Programming, Programming Languages, Program Testing and Verification, eLearning,
and Distributed Operating Systems. 相似文献
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将业务流程模型抽象中的行为聚合解释为一个半监督聚类过程,利用基于试探的启发式方法选择合适的行为集合作为初始簇,进而提高抽象的质量。另外,为了同时满足模型转换的保序性需求和子流程的业务语义完整性,在将行为归类到某个簇(候选子流程)时,进一步考虑了流程控制流的影响,设计了由两部分构成的约束函数,即语义距离和控制流顺序冲突。其中,第一部分引入了虚拟文档来表示行为和子流程,计算其之间的语义距离;第二部分利用行为概要文档中的4种行为顺序关系,设计函数来表示行为归类带来的控制流冲突。将该方法应用于真实的流程模型库,与传统的k-means行为聚类对比,如随机生成初始簇集和基于语义的距离测量方法,结果表明所提方法生成了更接近于人工设计的流程抽象结果。 相似文献