第三届中国信息安全学科建设与人才培养研讨会 辽宁沈阳（2009年8月8日～10日）

“第三届中国信息安全学科建设与人才培养研讨会”将于2009年8月8日～10日在中国刑警学院召开,此次会议将就全国信息安全学科建设与人才培养、规范与评估等方面的问题进行研讨和部署。在会议期间同时召开“信息安全特色专业建设经验交流会”、“信息安全类专业实验实训基地建设经验交流会”和“信息安全类专业国家级精品课程建设经验交流会”,还要组织召开教育部信息安全专业教学指导委员扩大会议。     

“智能科学与技术”专业建设的探索与实践

专业建设是人才培养工作的基石,是高等院校最重要的基本建设。本文介绍了首都师范大学"智能科学与技术"专业六年的建设与实践工作。根据培养高素质工程型人才的要求,从明确专业培养目标、加强实践教学、保障教学质量及就业面向等方面阐述了我校该专业的建设举措、取得的成绩及面临的问题。     

高职计算机类专业课程体系建设的探索与实践——以广州铁路职业技术学院为例

课程体系建设与改革是专业建设的核心。本文介绍了我院计算机专业团队在学院升格、转制、跨越式发展过程中,从教学理念、人才培养、教学模式、教学效果等方面的探索,并进一步介绍了形成"围绕一个核心、利用两条思路、通过三种途径、做好四项保障"的课程体系建设模式。     

公安信息系统应用课程体系建设研究

根据公安信息化建设应用特点,分析公安工作对人才培养的需求,结合"构建教、学、练、战一体化的应用型人才培养模式"项目的目标以及公安信息系统应用课程理论教学和实践教学取得的成效,阐述如何建设理论、方法、技术、应用一体化的公安信息系统应用课程体系。     

软件服务外包人才培养模式的研究与实践

现有的软件人才培养模式不能满足软件服务外包产业的要求,提出由校企共同制定培养方案的"双主体211"人才培养模式,在软件服务外包人才培养方面取得了良好的效果。并介绍了该模式下的人才培养方案、课程体系、实践教学体系和师资队伍建设情况。     

加强开放实验室建设,培养创新型人才

本文介绍了我院在开放实验室建设方面的思路以及在建设过程中的思考。实践证明,开放实验室可以充分提高设备利用率,最大限度地满足学生教学、实验和科研的需要,提高学生的创新能力。     

计算机科学与技术特色专业建设研究与实践

围绕计算机科学与技术特色专业"一专多能"培养目标,在人才培养方案改革、人才培养模式创新、课程体系优化、师资队伍培养、教学条件、校企合作、学生课外科技创新等方面展开系统的改革和实践,形成鲜明的办学特色,取得显著成效。同时,文章也分析了专业建设存在的问题和应对措施,给出进一步建设目标和展望成果。     

基于三维立体交叉渗透的软件工程课程建设

通过深入分析国家及行业对软件工程人才的规格需求以及地方工科院校的特点,总结多年教学实践和教学研究成果,提出"三维立体交叉渗透"软件工程课程建设方案。在实际教学中提出"案例教学、项目驱动、团队合作"的教学法,结合教学实践,提高教学效果。实践证明,软件工程课程建设提高了教学水平,为人才培养、学科建设和学校视野发展作出了贡献。     

基于校企融合创新提升高职教师应用科研能力的实践研究

提高高职院校教师的应用科研能力是提高教师整体素质、培养优秀人才的有效途径。论文通过创新实施"ICT行业应用创新基地"的建设实践,采取深化创新基地的科研机制、强化团队建设以及推进应用科研与人才培养的融合创新等举措,形成科研与教学协同发展的职业教育新模式,有效提升高职教师的应用科研能力。     

“五位一体”的IT类应用技术型人才培养模式改革

在IT类应用型人才培养模式创新实验区改革的基础上,提出"五位一体"的IT类应用技术型人才培养模式。围绕IT类应用技术型人才培养的目标,从专业与岗位认知、课程教学、专业竞赛、企业及项目实践、科研创新与社会服务5个方面,全面阐述如何推进IT类应用技术型人才培养的改革实践,并对"五位一体"IT类应用技术型人才培养模式的制度建设、双师型教师培养、人才培养与社会需求对接等方面进行说明。     

智能科学与技术专业学生实践能力培养若干探索

针对大学生普遍存在实践能力不强、工作经验不足的问题,为了切实提高学生实际动手能力,厦门大学智能科学与技术系在办学过程中结合本系特点充分利用各种可用资源积极探索加强学生实践能力培养的方式,采取了包括强调实践教学环节、增设课外实习实训和组织课外科创活动等举措,取得了较好效果。     

港航物流行业计算机专业人才培养模式探讨

针对具有行业特色院校计算机专业人才培养中存在的问题,本文根据上海海事大学计算机科学与工程系的教学情况,对面向行业应用的计算机专业人才培养模式进行探讨,包括港航物流行业计算机专业人才的特点、培养目标、课程体系设置、专业方向设置和实践教学等几个方面。     

面向产业集群的计算机网络课程群建设的研究

本文是辽宁省教育科学"十二五"规划立项课题《面向产业集群的计算机网络课程群建设》(课题编号为:JG12EB115)的核心成果。本文从计算机网络人才的需求调研出发,充分开展校企合作,研究计算机网络方向的人才培养方案从而依照人才培养方案进行计算机网络课程群建设。本文阐述了面向产业集群的计算机网络课程群建设的研究思路,创新点和具体实现步骤,本文的研究深化了校企合作内容,为计算机网络人才培养开拓了"双轨道"校企合作的新模式,同时提高了学生的动手能力和就业竞争力。因此,本文的研究对我校计算机网络人才培养具有非常重要的理论意义和现实意义。     

厦门大学“智能科学与技术”专业建设介绍

本文简要介绍了近几年来厦门大学"智能科学与技术"专业的建设情况,包括在相关领域的科学研究进展和本科生与研究生的培养情况。     

Modeling user action planning: A comprehension based approach

We review our efforts to model user command production in an attempt to characterize the knowledge users of computers have at various stages of learning. We modeled computer users with a system called NETWORK (Mannes and Kintsch, 1988; 1991) and modeled novice, intermediate, and expert UNIX command production data collected by Doane et al. (1990b) with a system called UNICOM (Doane et al., 1989a; 1991). We use the construction-integration theory of comprehension proposed by Kintsch (1988) as a framework for our analyses. By focusing on how instructions activate the knowledge rele/ant to the performance of the specified task, we have successfully modeled major aspects of correct user performance by incorporating in the model knowledge about individual commands and knowledge that allows the correct combination of elementary commands into complex, novel commands. Thus, experts can be modeled in both NETWORK and in UNICOM. We further show that salient aspects of novice and intermediate performance can be described by removing critical elements of knowledge from the expert UNICOM model. Results suggest that our comprehension-based approach has promise for understanding user interactions and implications for system design are discussed.Dr. Stephanie Doane is Assistant Professor of Psychology and appointed at the Beckman Institute at the University of Illinois. Shereceived her BAin Experimental Psychology from the University of California, Santa Barbara, her MS in Experimental Psychology from Villanova University, and her PhD in Cognitive Psychology from the University of California, Santa Barbara. Dr. Doane's research has focused on skill acquisition and the development and validation of theoretically-based computational models of cognitive processes. Her current research addresses issues of learning to interact with complex systems and the role of learning context in skill acquisition.Dr. Suzanne Mannes is Assistant Professor of Psychology at the University of Delaware. She received her BA in Psychology from the State University of New York College at Plattsburgh and received her PhD in Cognitive Psychology from the University of Colorado at Boulder. Her experimental research focuses on the role of prior knowledge in text comprehension, particularly as it pertains to problem-solving abilities. She also investigates the use of hybrid computer systems to simulate results from such studies.Dr. Walter Kintsch is Professor of Psychology and Director of the Institute of Cognitive Science at the University of Colorado in Boulder. He received his MA and PhD degrees in Experimental Psychology from the University of Kansas. His main area of interest has been the psychology of language and memory. He is currently the editor of the Psychological review.Peter Poison is Professor of Psychology and member of the Institute of Cognitive Science at the University of Colorado. He received his BA degree in Psychology and BS degree in Industrial Engineering from Stanford University and his PhD degree in Psychology from Indiana University. Dr. Poison's research has focused on the development and empirical evaluation of mathematical and computer simulation models of cognitive processes including transfer of training, problem solving, and the acquisition of cognitive skills. His current research deals with quantitative models of human-computer interaction and the application of such models to the design of more easily learned computer systems.     

产学研一体的工程型、复合型、国际化计算机人才培养

总结了浙江大学计算机科学与技术学院基于产学研一体培养工程型、复合型、国际化计算机高级人才的一些基本经验。浙江大学计算机学院通过建立多层次的工程实践能力培养体系、建设全方位的国际交流能力培养体系、创建多学科融合的人才培养知识体系等手段,逐步探索出产学研共同参与的新型高级计算机人才培养模式。     

地方院校计算机信息技术专业方向人才培养模式的研究——济南大学信息科学与工程学院计算机应用人才培养试点工作探析

构建科学的信息技术专业人才培养模式是适应社会经济、高等教育和学生自我发展的必然要求。地方院校的特点决定了其构建新型人才培养模式应从培养目标、课程体系、实践教学、师资建设等多方面着手。本文以济南大学计算机应用人才培养的试点工作为例,分析地方院校在信息技术专业人才培养模式方面的研究及实施措施。     

A parametric definition for a family of inheritance reasoners

This paper gives a declarative specification of a popular inheritance system and shows how simple changes to this specification can result in different path-based reasoners. This parameterized definition provides a deeper understanding of the fundamental differences between some of the more popular path-based inheritance reasoners. In particular, it allows the clarification of some of the results on the complexity of reasoning in the various systems. The uniform framework also allows definition of novel systems which constitute intermediate points in the space of possible reasoners, and facilitates perspicuous Prolog implementation. The work reported here is primarily the research of Carl Vogel, with Fred Popowich being particularly involved with the initial logical specification and implementation. Thanks to Nick Cercone, who collaborated with the authors on earlier research relating to the material presented in this paper, and also to two anonymous reviewers for constructive suggestions. Vogel is particularly grateful to Robin Cooper and Jeff Pelletier for feedback and encouragement as well as to the Marshall Aid Commemoration Commission for making it possible for him to do his Ph. D. at the Centre for Cognitive Science in Edinburgh. Popowich wishes to acknowledge the support of the Natural Sciences and Engineering Research Council of Canada. Carl Vogel, Ph.D.: He is a Research Scientist in the Institute for Computational Linguistics at the University of Stuttgart. He is grateful to the Sonderforshungsbereich 340 for funding his postdoctoral work there. Vogel finished his Ph.D. in Cognitive Science at the University of Edinburgh in 1995. He is interested in the proof theory and semantics of default reasoning as well as consequent applications throughout computational linguistics: semantics of natural language generics, robust processing of natural language in typed feature systems, and syntactic representation. Fred Popowich, Ph.D.: He is an Associate Professor of Computing Science and an Associate Member of the Department of Linguistics at Simon Fraser University. He received his Ph.D. in Cognitive Science/ Artificial Intelligence from the University of Edinburgh in 1989. His current research interests include the development and processing of unification based grammars, machine translation, natural language interfaces to databases, the structure of the lexicon, the use of inheritance in the lexicon, and the use of lexical resources in natural language processing applications.     

人工智能方向的研究型人才培养模式探索与实践

对南京理工大学紫金学院计算机专业从理论教学体系、实践教学体系、学生管理体系和考核体系四个方面提出 构建人工智能方向的研究型人才培养新模式。此举取得了骄人的成绩,学生两年内发表多篇核心论文已见刊,申请多项专利 已授权。该“三位一体”的人工智能研究型人才培养模式,值得高校深入学习和不断发展。