Thematische Bibliographien / Computer Science

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Auswahl der wissenschaftlichen Literatur zum Thema „Computer Science“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 21. September 2024

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Zeitschriftenartikel zum Thema "Computer Science"

Shiflet, Angela B. „Computer science with the sciences“. ACM SIGCSE Bulletin 34, Nr. 4 (Dezember 2002): 40–43. http://dx.doi.org/10.1145/820127.820162.

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Giza, Piotr. „CREATIVITY IN COMPUTER SCIENCE“. Creativity Studies 14, Nr. 2 (09.11.2021): 444–60. http://dx.doi.org/10.3846/cs.2021.14699.

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The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a very specific field for it relates the abstract, theoretical discipline – mathematics, on the one hand, and engineering, often concerned with very practical tasks of building computers, on the other. It is like engineering in that it is concerned with solving practical problems or implementing solutions, often with strongly financial reasons, e.g. increasing a company’s income. It is like mathematics in that is deals with abstract symbols, logical relations, algorithms, computability problems, etc. Saunders and Thagard analyse rich experimental material from historical and contemporary work in computer science and argue that, as opposed to natural sciences, computer science is not concerned with describing and explaining natural phenomena. Now, I argue that there is a field of research in artificial intelligence (which, in turn, is a branch of computer science), called machine discovery, where explanation of natural phenomena, finding experimental laws and explanatory models is the primary goal. This goal is achieved by constructing computer systems whose job is to simulate various processes involved in scientific discovery done by human researchers, and help them in making new discoveries. On the other hand, motivations that give rise to ingenious projects in computer science can be very strange and include curiosity, fun or attempts to be famous out of boring, stable life of a successful programmer in a big corporation. A good example is the phenomenon of open-source software, especially the development of the Linux operating system and its applications when, from economical point of view, Microsoft absolutely dominated the software market of personal computers.

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Fagan, Jody Condit, und David J. Gaines. „EBSCO Computers and Applied Sciences Complete and ProQuest Computer Science Collection“. Charleston Advisor 13, Nr. 1 (01.07.2011): 14–17. http://dx.doi.org/10.5260/chara.13.1.14.

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Chen, Sifei. „Application of Computer Science Technology in Computer Education“. Journal of Education and Culture Studies 8, Nr. 1 (19.02.2024): p65. http://dx.doi.org/10.22158/jecs.v8n1p65.

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The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computer teaching has become the mainstream of the times, and has become a very effective means of teaching as well as teaching tools. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. In the process of computer popularization, it is widely used in real life. And the computer as an education and learning tools, for computer education itself has great significance. In assisting teachers in the management of teaching and practical work at the same time, but also to provide students with richer learning resources and learning efficiency, so that the teaching and learning process is more concise and easy. The arrival of the era of big data, making the computer in all walks of life are widely used in the teaching process is also inseparable from the application of computers, some of the traditional teaching methods have also been replaced by computer technology, computerized teaching has become the mainstream of the times, and has become a very effective means of teaching as well as the teaching tools of the times. The application and popularization of computers has brought great convenience to people's daily life, and has a great effect on the improvement of teaching quality. Especially in the cultivation of talents in colleges and universities, the application of computers can have a great role in promoting the cultivation of innovation ability of college students. This article briefly analyzes the application of computer science and technology in computer education, starting from computer science and technology.

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Barron, D. W. „Two cultures: computer science and personal computers“. Endeavour 13, Nr. 1 (Januar 1989): 25–28. http://dx.doi.org/10.1016/0160-9327(89)90047-1.

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Chakraborty, Pinaki. „Computer, Computer Science, and Computational Thinking: Relationship between the Three Concepts“. Human Behavior and Emerging Technologies 2024 (28.03.2024): 1–6. http://dx.doi.org/10.1155/2024/5044787.

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Digital computers were invented in the 1940s. They are sophisticated and versatile machines whose functioning is grounded in elaborate theory. Advances in theory and the availability of computers helped computer science to develop as an academic discipline, and university departments for the same started coming up in the 1960s. Computer science covers all phenomenon related to computers and consists primarily of man-made laws governing building, programming, and using computers. Computational thinking is a way of thinking influenced by computers and computer science. There are two schools of thought on computational thinking. The first school sees computational thinking as the use of computers to explore the world, while the other sees computational thinking as the application of concepts from computer science to solve real-world problems. Scholars typically agree that computational thinking has four essential components, viz., abstraction, decomposition, algorithm design, and generalization. Computational thinking is often feted by computer scientists as a useful skill that can be used by anybody anywhere. However, it is necessary to find out ways for successfully using computational thinking in domains other than computer science before it can be declared a universal skill.

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Chu, Yul, und Jin Hwan Park. „An Effective Model for Computer System Building Projects in Computer Engineering and Computer Science“. International Journal of Information and Education Technology 5, Nr. 6 (2015): 432–36. http://dx.doi.org/10.7763/ijiet.2015.v5.544.

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Prokhorov, S. P. „THE FUNDAMENTAL CONTRIBUTION OF THE ACADEMY OF SCIENCES TO THE DEVELOPMENT OF RUSSIAN COMPUTER SCIENCE AND COMPUTER TECHNOLOGY“. Вестник Российской академии наук 93, Nr. 10 (01.10.2023): 980–88. http://dx.doi.org/10.31857/s0869587323100092.

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The history of the creation of the first Soviet universal electronic computers is an excellent example of the ability and readiness of the Academy of Sciences to be a leader in the creation and development of new areas of science and technology. All work, starting with the design of computers and ending with the stage of creating computers and software, was carried out at the institutes of the Academy of Sciences. On December 4, 1948, I.S. Brook and B.I. Rameev received a copyright certificate for the invention of an automatic digital machine. It was the first official document indicating the beginning of work on the creation of computers in the USSR. The first Soviet computer, the M-1, was created at the Power Energy Institute under the leadership of Corresponding Member I.S. Brook. At the Institute of Precise Mechanics and Computer Engineering, under the guidance of Academician S.A. Lebedev, the most successful series of Soviet computers, BESM, was produced. The first copies of all new models of computers before being launched into a series were subjected to comprehensive tests at the Institute of Applied Mathematics, whose director was Academician M.V. Keldysh. Academician S.L. Sobolev was the ancestor of the Russian school of programming. The article contains little-known information about the first steps of computer science in Russia. Some facts about the history of those years were hidden in the archives for a long time and are now published for the first time.

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Kadijevich, Djordje. „Gender Differences in Computer Attitude among Ninth-Grade Students“. Journal of Educational Computing Research 22, Nr. 2 (März 2000): 145–54. http://dx.doi.org/10.2190/k4u2-pwqg-re8l-uv90.

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A study of fifty-four female and fifty-nine male Gymnasium (high school) students from four ninth-grade classes oriented toward natural sciences and mathematics surveyed students' attitudes toward computers in relation to gender and computer experience and found that males showed a more positive attitude toward computers than females, even when computer experience was controlled. An additional study of fifty-one females and fifty-four males from the initial sample found that males did show more interest in computer science than females, but these differences could not explain gender differences in computer attitude.

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Jirari, Ahmed. „Future of Computer Science Profession“. International Journal of Scientific Research and Management 10, Nr. 04 (15.04.2022): 809–11. http://dx.doi.org/10.18535/ijsrm/v10i4.ec01.

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As society becomes more reliant on computers and the Internet, A computer science degree is a great way to start a career in IT. You can find many different roles that suit your interests and strengths. The best thing about computer science is that it teaches you to think logically and solve problems. Computer hardware and software technology quickly expand in power and complexity as this process unfolds. Because developments happen so quickly, predicting where the area of computer science will go in the next 10 to 20 years can be challenging. The area of computer science is expected to undergo significant changes shortly.

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Dissertationen zum Thema "Computer Science"

Seendani, Ajmal. „TEACHING COMPUTER SCIENCE WITHOUT COMPUTER : Teaching Computer Science in Afghan Secondary Schools“. Thesis, Karlstads universitet, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-32350.

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Computers have become so significant in todays’ world, most of the people use such kind of technology for different purposes in their life: such as computing, designing, calculation and so on. This kind of technology can help the teachers and students in learning process, or we can say that they can be used as a facilitator of the learning process. This study circulates on how the teachers teach computer science in Afghan schools grade (10 to 12), although there are no computers in the classrooms and students just have textbooks for learning computer science. The teachers teach computer theoretically. The study was conducted in 30 schools of six provinces of Afghanistan, the study was conducted based on quantitative research method using questionnaire for both teachers and students, because of security and some cultural problems just a few female teachers and students participated in the study and filling the questionnaires . The study found that majority of teachers and more than half of the students believed that computer science is important in all parts of life; majority of the participants has no access to computers in their schools. Because of having no access to computers textbooks of CS are taught through lecture and group work methods. Additionally, teachers believed that textbooks of CS is useful but have some problems and students believed that these textbooks are so useful. Finally, both teachers and students in this study have faced many problems in the field of CS, so MoE should undertake their problems and provide facilities such as computer labs, professional teachers and so on.

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Chelyadin, A. S. „History of computer science“. Thesis, Сумський державний університет, 2013. http://essuir.sumdu.edu.ua/handle/123456789/33540.

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Here are some provisions on the history of computer science. Blaise Pascal designed and constructed the Pascaline in 1642. This machine did only two arithmetic operations. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/33540

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Locklair, Gary H. „Foundations of Computer Science A Survey of Computer Science via its Grand Ideas“. NSUWorks, 2002. http://nsuworks.nova.edu/gscis_etd/680.

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This dissertation constitutes findings on research into the grand ideas of computer science and a philosophical framework for the grand ideas. By way of illustration, this dissertation is in the form of a college-level text meant to demonstrate both the grand ideas of computer science and a potential framework for them. The text is a sophisticated survey of the foundational concepts which form the basis of computer science. The text may serve as an introduction to computer science for those new to the discipline and also as a concise review of topics for those familiar with the discipline. The text is broken down into four units: the overview, the user's view, the functional view and the foundational view. The entire text and each of the first three units follows a spiral approach. The first three units present ideas in a top-down fashion (i.e., levels of increasing abstraction). The final unit presents ideas in a bottom-up fashion. Incorporated throughout the text are principles derived from the liberal arts, especially the notion of the trivium. The grand ideas of computer science are introduced through the use of "guiding questions" for each unit.

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Stevens, William Eugene. „Computer Science Teacher Certification And Student Success on the Advanced Placement Computer Science Examinations“. NSUWorks, 1991. http://nsuworks.nova.edu/gscis_etd/861.

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Bewley, Samantha. „High School Computer Science Education“. Thesis, Villanova University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13426311.

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One of the challenges in the field of computer science is teaching the subject at the high school level. Thirteen computer science teachers, one technology teacher and one department chair for technology were interviewed to determine how they thought computer science education could be improved at the high school level. The qualitative research addressed curriculum, professional development, educational computer science standards and frameworks, technology, and pedagogy. Institutional Review Board approval was obtained for the research. Nvivo was used to analyze the interviews. When the results were compiled, many teachers were concerned that there were low numbers of students interested in computer science. Having low numbers or students enrolled in computer science classes contribute to low numbers of computer science teachers. Different way to address these problems are proposed.

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Behnke, Kara Alexandra. „Gamification in Introductory Computer Science“. Thesis, University of Colorado at Boulder, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3743653.

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This thesis investigates the impact of gamification on student motivation and learning in several introductory computer science educational activities. The use of game design techniques in education offers the potential to make learning more motivating and more enjoyable for students. However, the design, implementation, and evaluation of game elements that actually realize this promise remains a largely unmet challenge. This research examines whether the introduction of game elements into curriculum positively impacts student motivation and intended learning outcomes for entry-level computer science education in four settings that apply similar game design techniques in different introductory computer science educational settings. The results of these studies are evaluated using mixed methods to compare the effects of game elements on student motivation and learning in both formal and non-formal learning environments.

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Sauls, Jaimie Elizabeth. „Changing Perceptions of Computer Science“. Thesis, The University of Arizona, 2012. http://hdl.handle.net/10150/244791.

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Students misperceive computer science as only programming; such misperceptions may contribute to students' negative views and reluctance to join this field of study. The Laboratory for Computer Science creates online lessons for high school students that introduce computing theories in an interactive way. A study was conducted to examine how students' perceptions of computer science change upon completion of these labs. The focus of the study is on the student's perspective of computer science and their place in the field irrespective of their identification with a specific minority group. Identifying whether the stigmas of stereotypes are present with the students that experience these lessons and whether a deeper knowledge of the underlying theories in computer science will change these views is the goal. Based on the student feedback from this study, a standardized method of developing and organizing these student labs was proposed and used to create a series of four labs on Little's Law.

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Pickrell, Nathan. „Efficiently managing the computer engineering and Computer Science labs“. Thesis, California State University, Long Beach, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1522647.

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University lab environments are handled differently than corporate, government, and commercial Information Technology (IT) environments. While all environments have the common issues of scalability and cross-platform interoperability, educational lab environments must additionally handle student permissions, student files, student printing, and special education labs. The emphasis is on uniformity across lab machines for a uniform course curriculum.

This thesis construes how a specific set of Computer Science labs are maintained. It describes how documentation is maintained, how the lab infrastructure is setup, how the technicians managing the lab build master lab images, how all of the workstations in the lab are cloned, and how a portion of the maintenance is handled. Additionally, this paper also describes some of the specialty labs provided for courses with functional topics.

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Ertugrul, Erkan. „Computer-aided course enrollment system for Computer Science Curriculum Office“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1995. http://handle.dtic.mil/100.2/ADA296129.

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Jackson, Samuel. „Sustainability in Computer Science, Human-Computer Interaction, and Interaction Design“. Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1329.

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Sustainability is a growing concern in a world where climate change threatens to inflict massive environmental and human damage in the coming decades. As climate change becomes a global issue, researchers and professionals from many pursuits are beginning to rally around the cause of bringing about an economically and environmentally sustainable future. Computer science and the related fields of human-computer interaction and interaction design have both a moral obligation and profound opportunity to contribute to environmental sustainability. In this thesis, I will examine the efforts of computer scientists and interaction designers in sustainability so far in order to form an understanding of what computer science has contributed to the effort of curbing damage to the environment to date. While the contributions of computer science and related fields to sustainability are significant, there are many ways in which they are deficient. Therefore, I will look to the future possibilities for academic and industrial developments and improvements in sustainable technology from the perspective of computer scientists and practitioners of related disciplines, and make recommendations as to the direction these fields should take in order to best serve the global thrust toward a sustainable human civilization.

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Bücher zum Thema "Computer Science"

Gurikov, Sergey. Computer science. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014656.

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The textbook covers the theoretical and practical foundations of the computer science course. The content of the book, examples and tasks are aimed at training a specialist with a modern set of competencies in the field of computer science and information and communication technologies. The textbook has an applied orientation and meets the requirements of the Federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying undergraduate programs, it will also be useful for students of secondary vocational education institutions, teachers, and people who want to study computer science independently.

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Yashin, Vladimir, und Anna Kolodenkova. Computer science. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1069776.

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The book describes the main topics of modern computer science: branch of theoretical computer science, associated with the analysis of different information models; section of computer technology, dedicated to the development of common principles of computer systems; section of programming devoted to the principles of algorithms and computer software. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying information technologies in the framework of the discipline "Informatics", graduate students, university teachers and anyone interested in modern information technologies.

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Fedotova, Elena. Computer science. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1200564.

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The basic concepts in the field of computer science are given, the main categories of computer hardware and software, the principles of building the architecture of computer systems are described. The structural organization of data and the basics of algorithmization, types of software, classification of information technologies and systems, modern document management and office management automation systems, the basics of building artificial intelligence systems, geoinformation systems, virtual reality systems, as well as the basics of information security are considered. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students of higher technical educational institutions studying the discipline "Computer Science", for teachers and specialists working in this field, as well as for those who study this subject area independently.

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Baeza-Yates, Ricardo, und Udi Manber, Hrsg. Computer Science. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3422-8.

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Blum, Edward K., und Alfred V. Aho, Hrsg. Computer Science. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1168-0.

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Walker, Tricia. Computer science. London: Cassell, 1989.

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Walker, Tricia. Computer science. Hemel-Hempstead: Phoenix ELT in corporation with Prentice Hall Macmillan, 1992.

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French, C. S. Computer Science. London: DP Publications, 1993.

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1944-, Warford J. Stanley. Computer science. Lexington, Mass: D.C. Heath and Co., 1991.

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Zlateva, Tanya, und Rossitza Goleva, Hrsg. Computer Science and Education in Computer Science. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17292-2.

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Buchteile zum Thema "Computer Science"

Duchowski, Andrew T. „Computer Science“. In Eye Tracking Methodology: Theory and Practice, 205–26. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3750-4_14.

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Marshall, David. „Computer Science“. In Handbook on Information Technologies for Education and Training, 425–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-07682-8_27.

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Zenger, Christoph. „Computer Science“. In High Performance Computing in Science and Engineering ’01, 483. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56034-7_48.

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Kac, Mark, Gian-Carlo Rota und Jacob T. Schwartz. „Computer Science“. In Discrete Thoughts, 63–76. Boston, MA: Birkhäuser Boston, 1986. http://dx.doi.org/10.1007/978-1-4899-6667-4_7.

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Dick, Stephanie. „Computer Science“. In A Companion to the History of American Science, 55–68. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119072218.ch5.

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Hayes, Caroline Clarke. „Computer Science“. In Gender Codes, 25–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470619926.ch2.

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Kac, Mark, Gian-Carlo Rota und Jacob T. Schwartz. „Computer Science“. In Discrete Thoughts, 63–76. Boston, MA: Birkhäuser Boston, 1992. http://dx.doi.org/10.1007/978-0-8176-4775-9_7.

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Zenger, Christoph. „Computer Science“. In High Performance Computing in Science and Engineering ’99, 445. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59686-5_42.

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Turner, Raymond. „Computer Science“. In Computational Artifacts, 5–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55565-1_1.

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Duchowski, Andrew T. „Computer Science“. In Eye Tracking Methodology, 315–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_24.

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Konferenzberichte zum Thema "Computer Science"

Jerkofsky, James, und Cathy Bareiss. „Computer science“. In the 43rd ACM technical symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2157136.2157418.

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Greening, Tony. „Computer science“. In the third Australasian conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/289393.289415.

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Bareiss, Catherine. „Computer Science“. In SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2839509.2850478.

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Lazowska, Ed. „Computer science“. In the 39th SIGCSE technical symposium. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1352135.1352321.

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Bareiss, Catherine. „Computer Science“. In SIGCSE '15: The 46th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2676723.2691851.

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Cupper, Robert D. „Computer science“. In the twenty-ninth SIGCSE technical symposium. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/273133.273151.

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Stevenson, D. E. „Science, computational science, and computer science“. In the 1993 ACM conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/170791.170795.

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Bell, Tim, und Lynn Lambert. „Teaching computer science majors about teaching computer science“. In the 42nd ACM technical symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1953163.1953317.

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Karp, Richard M. „Computer Science as a Lens on the Sciences“. In 2008 28th IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2008. http://dx.doi.org/10.1109/icdcs.2008.115.

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Karp, Richard M. „Computer Science as a Lens on the Sciences:“. In IEEE/WIC/ACM International Conference on Web Intelligence (WI'07). IEEE, 2007. http://dx.doi.org/10.1109/wi.2007.154.

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Berichte der Organisationen zum Thema "Computer Science"

McGee, Steven, Randi McGee-Tekula, Jennifer Duck, Lucia Dettori, Don Yanek, Andrew M. Rasmussen, Ronald I. Greenberg und Dale F, Reed. Does Exploring Computer Science Increase Computer Science Enrollment? The Learning Partnership, April 2018. http://dx.doi.org/10.51420/conf.2018.1.

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This study investigated the impact of the Exploring Computer Science (ECS) program on the likelihood that students of all races and gender would pursue further computer science coursework in high school. ECS is designed to foster deep engagement through equitable inquiry around computer science concepts. The results indicate that students who pursued ECS as their first course were more likely to pursue another course relative to taking a traditional course as the first course.

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Lydon, Michael, und Jessie Ford. Computer Science Career Network. Fort Belvoir, VA: Defense Technical Information Center, März 2013. http://dx.doi.org/10.21236/ada578200.

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Rosenthal, Robert. Computer science and technology :. Gaithersburg, MD: National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.ir.87-3516.

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Tkachuk, Viktoriia V., Vadym P. Shchokin und Vitaliy V. Tron. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2668.

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Research goal: the research is aimed at developing a model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Object of research is the model of use of mobile ICT in learning Computer Sciences to future professionals in Engineering Pedagogy. Results of the research: the developed model of use of mobile ICT as tools of learning Computer Sciences to future professionals in Engineering Pedagogy is based on the competency-based, person-centered and systemic approaches considering principles of vocational education, general didactic principles, principles of Computer Science learning, and principles of mobile learning. It also takes into account current conditions and trends of mobile ICT development. The model comprises four blocks: the purpose-oriented block, the content-technological block, the diagnostic block and the result-oriented block. According to the model, the learning content of Computer Sciences consists of 5 main units: 1) Fundamentals of Computer Science; 2) Architecture of Modern Computers; 3) Fundamentals of Algorithmization and Programming; 4) Software of Computing Systems; 5) Computer Technologies in the Professional Activity of Engineer-pedagogues.

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Anderson, Loren James, und Marion Kei Davis. Functional Programming in Computer Science. Office of Scientific and Technical Information (OSTI), Januar 2016. http://dx.doi.org/10.2172/1237221.

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Ramamritham, Krithi. Computer Science Research in India. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1995. http://dx.doi.org/10.21236/ada300848.

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Shafer, S., R. Bryant, J. Wing, B. Myers und J. Reynolds. Basic Research in Computer Science. Fort Belvoir, VA: Defense Technical Information Center, Dezember 1993. http://dx.doi.org/10.21236/ada275184.

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Shafer, S., R. Bryant, J. Wing, B. Myers, J. Reynolds, J. F. Lehman, T. Mitchell und J. Carbonell. Basic Research in Computer Science. Fort Belvoir, VA: Defense Technical Information Center, Oktober 1993. http://dx.doi.org/10.21236/ada275222.

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Blumenthal, M. Computer Science and Technology Board. Office of Scientific and Technical Information (OSTI), Januar 1990. http://dx.doi.org/10.2172/6995568.

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Roesler, David. A Computer Science Academic Vocabulary List. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.7414.

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