Search Results - 004.42 - Computer programming. Computer programs

Interactive computer programs for fuzzy linear programming with multiple objectives

Authors: Masatoshi Sakawa

Source: International Journal of Man-Machine Studies. 18:489-503

Subject Terms: 0209 industrial biotechnology, Management decision making, including multiple objectives, decision-making, 02 engineering and technology, Decision theory, Fuzzy sets and logic (in connection with information, communication, or circuits theory), Linear programming, Sensitivity, stability, parametric optimization, 0202 electrical engineering, electronic engineering, information engineering, interactive computer programs, simplex method, Theory of fuzzy sets, etc, multiobjective linear programming, fuzzy goals

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Access URL: https://zbmath.org/3811335
https://doi.org/10.1016/s0020-7373(83)80022-4
https://dblp.uni-trier.de/db/journals/ijmms/ijmms18.html#Sakawa83
https://www.sciencedirect.com/science/article/pii/S0020737383800224
https://doi.org/10.1016/S0020-7373(83)80022-4

Mississippi Curriculum Framework for Computer Information Systems Technology. Computer Information Systems Technology (Program CIP: 52.1201--Management Information Systems & Business Data). Computer Programming (Program CIP: 52.1201). Network Support (Program CIP: 52.1290--Computer Network Support Technology). Postsecondary Programs.

Authors: Mississippi Research and Curriculum Unit for Vocational and Technical Education, State College.

Peer Reviewed: N

Page Count: 87

Sponsoring Agency: Mississippi State Dept. of Education, Jackson. Office of Vocational and Technical Education.

Descriptors: Academic Education, Accounting, Behavioral Objectives, Community Colleges, Competence, Competency Based Education, Computer Networks, Computer Oriented Programs, Core Curriculum, Database Management Systems, English, Information Dissemination, Information Management, Microcomputers, Programming, Programming Languages, State Curriculum Guides, Statewide Planning, Systems Approach, Technical Education, Technical Institutes, Two Year Colleges, Writing (Composition)

Geographic Terms: Mississippi

Courses on Computer Programs and Programming Languages Taught in Information and Records Management Curriculum in Turkey

Authors: BAYRAKTAR, Ayşe

Source: Volume:, Issue: 16 103-131
Bilgi Ve Belge Araştırmaları

Subject Terms: Bilgi ve belge yönetimi, müfredat, bilgisayar programları, programlamadilleri, Information and records management, curriculum, computer programs, programming languages

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Access URL: https://dergipark.org.tr/tr/pub/bel/issue/67331/1032181

The Art of Computer Graphics Programming: Translating Pioneer Programs

Authors: Viviane Alencar Gabriela Celani

Source: Proceedings of the XVII Conference of the Iberoamerican Society of Digital Graphics - SIGraDi: Knowledge-based Design. :500-504

Subject Terms: Visual Arts and Performing Arts, 0211 other engineering and technologies, Social Sciences, 02 engineering and technology, Computer graphics, Engineering, Pascal (unit), Field (mathematics), Architecture, 11. Sustainability, FOS: Mathematics, Functional logic programming, Architectural Geometry and Artistic Representation, Programming paradigm, 10. No inequality, Fifth-generation programming language, Software engineering, Computer graphics (images), 9. Industry and infrastructure, 4. Education, 05 social sciences, Programming language theory, Pure mathematics, Computational Design, Architectural Design, Computer science, Programming language, Physical Sciences, Fourth-generation programming language, Graphics, Inductive programming, FOS: Arts (arts, history of arts, performing arts, music), Arts and Humanities, 0509 other social sciences, FOS: Civil engineering, Mathematics, Parametric Architecture and Urban Design

Access URL: http://pdf.blucher.com.br/designproceedings/sigradi2013/0096.pdf
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https://www.proceedings.blucher.com.br/article-details/14182

Learning logic programs with structured background knowledge☆☆An extended abstract of this paper appeared in: L. De Raedt (Ed.), Proceedings of the Fifth International Workshop on Inductive Logic Programming, Tokyo, Japan, 1995, pp. 53–76, Scientific Report of the Department of Computer Science, Katholieke Universiteit Leuven, and also in the post-conference volume: L. De Raedt (Ed.), Advances in Inductive Logic Programming, IOS Press, Amsterdam/Ohmsha, Tokyo, 1996, pp. 172–191: Learning logic programs with structured background knowledge

Authors: rgy Turán Gy oouml Tamás Horváth

Source: Artificial Intelligence. 128:31-97

Subject Terms: computational learning theory, Learning and adaptive systems in artificial intelligence, Computational learning theory, inductive logic programming, Inductive logic programming, 0102 computer and information sciences, 02 engineering and technology, 16. Peace & justice, Logic programming, 01 natural sciences, VC-dimension, Concept learning, Artificial Intelligence, PAC learning, concept learning, 0202 electrical engineering, electronic engineering, information engineering

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Access URL: https://www.sciencedirect.com/science/article/pii/S0004370201000625
https://dblp.uni-trier.de/db/journals/ai/ai128.html#HorvathT01

81/2: an MSIMD model for massively parallel simulation: This thesis proposes an environment for very large digital simulations. The realization of these simulations relies on the efficient use of the large parallel computers that will be available in the near future. In addition, many simulation applications correspond to programs whose computation sequence can be predicted at compile time. This is the case, for example, with the simulation of discrete dynamic systems (control systems, economic mechanisms, automaton networks, synchronous VLSI circuits, discretized continuous systems), which will be a prime example of applications. More specifically, we are studying a model for programming applications with predictable behavior on massively parallel computers. Our aim is twofold: 1) to provide the expressiveness needed for simulation applications, and in particular for the simulation of discrete dynamical systems; 2) to preserve the simplicity and efficiency of SIMD execution models, while gaining the efficiency and flexibility of control structures offered by MIMD. In order to study our programming model in greater detail, the specific resources of massively parallel simulation will constitute the explicit entities of an experimental language called Otto e Mezzo, or 8 1 / 2 .The development of Otto e Mezzo was influenced by the early lessons of the MEGA project, by theConnection-Machine programming and the LUCID, LUSTRE and SIGNAL languages. The Connection-Machine brought us the concept of collection, and LUCID the notion of temporal sequence. MEGA explores the implications of massive parallelism: what architectures and execution models are needed to build and run computers with several thousand processors? The two main consequences have been the development of a static language for expressing both data parallelism and control parallelism. As the language is static, the main execution parameters are fixed at compile time.From a technical point of view, the contributions of this work consist in integrating the concept of collection and the concept of time sequence into a data-flow language and compiling it for a massive synchronizable MIMD architecture. The collection is the preferred medium for data parallelism, while time sequences enable static processing of control parallelism. From the point of view of simulation applications, temporal sequences correspond to the notion of trajectory and collections to that of multi-dimensional variable.Merging the concepts of collection and temporal sequence addresses the objections initially raised against the inefficient handling of arrays in the classical data-flow model. In addition, this extension makes it possible to take into account the problem of data distribution in a distributed memory architecture, a problem traditionally absent from data-flow concerns. The result is an MSIMD language in which parallelism is implicit, static and very fine-grained.The data-flow form of the language simplifies program analysis and optimization techniques. We give several examples through collection type inference, dependency graph analysis, program time analysis, constant propagation and critical path optimization. The door remains open to numerous program analyses, optimizations and transformations.Compilation is essential to achieve the required performance. It is based on language semantics and translates into the distributed resolution of a system of equations. Compilation gives this system a "triangular form", which translates into efficient resolution. The activity management of the corresponding tasks is not carried out by an executive, but is regulated at compile time by a static scheduling of all activities. This compilation phase enables data to be distributed while taking advantage of a very detailed knowledge of the structure of the calculations and taking into account communication costs. Particular attention has been paid to the implementation of scheduling, to ensure that its complexity is compatible with the response times expected for compilation.This work has led to the development, based on the techniques presented in this thesis, of an interpreter/compiler for a subset of the 81/2 language. This interpreter currently exists on a UNIX workstation. Sequential code generation (workstation and SIMD computer) is planned for the very near future. Code generation for a synchronizable MIMD machine (such as the PTAH machine developed in the MEGA project) is currently being implemented.

Authors: Giavitto, Jean-Louis

Contributors: Giavitto, Jean-Louis

Subject Terms: parallelism, stream, data parallelism, langage declaratif, MIMD, Compilation, simulation, SIMD, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL], declarative language, Control parallelism, Dataflow, compilation, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Langage de programmation, programing language

Access URL: https://hal.science/tel-04336866v1

Functional programming concepts and straight-line programs in computer algebra

Authors: Nicolas Bruno R. Wachenchauzer Guillermo Matera et al.

Source: Mathematics and Computers in Simulation. 60:423-473

Subject Terms: MILONGA, functional programming, computer algebra procedures, 0102 computer and information sciences, 0101 mathematics, Symbolic computation and algebraic computation, Functional programming and lambda calculus, 01 natural sciences

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Access URL: https://dblp.uni-trier.de/db/journals/mcs/mcs60.html#BrunoHMW02
https://www.sciencedirect.com/science/article/abs/pii/S0378475402000356
https://ideas.repec.org/a/eee/matcom/v60y2002i6p423-473.html
https://EconPapers.repec.org/RePEc:eee:matcom:v:60:y:2002:i:6:p:423-473

Object-Oriented Ontogenetic Programming :Breeding Computer Programs that Work Like Multicellular Creatures

Authors: Schmutter, Peter Dittrich, Peter Banzhaf, Wolfgang

Contributors: Schmutter, Peter Dittrich, Peter Banzhaf, Wolfgang

Availability: http://data.europeana.eu/aggregation/europeana/2048441/item_DCNSMUHC4WWIISYU4HPP5XFMTT6IHDQF
http://data.europeana.eu/item/2048441/item_DCNSMUHC4WWIISYU4HPP5XFMTT6IHDQF

Microcomputers/Adult Basic Education: A Project Directed at Implementing CAI for Adult Learners and Identifying Courseware for GED/ABE Programs. Report No. 1. Implementing Computer Assisted Instruction in Adult Basic Education Programming: Observations in a Rural Setting. Report No. 2. Selected Courseware for GED/ABE Programming.

Authors: Shenandoah Valley School District, Shenandoah, PA. Paul, Daniel M. Kantrowitz, Jonathan D.

Peer Reviewed: N

Page Count: 189

Sponsoring Agency: Pennsylvania State Dept. of Education, Harrisburg. Div. of Adult Education and Training Programs.

Descriptors: Adult Basic Education, Adult Education, Adult Programs, Computer Assisted Instruction, Computer Programs, Educational Research, High School Equivalency Programs, Microcomputers, Student Attitudes, Teacher Attitudes

Assessment and Survey Identifiers: General Educational Development Tests

Recommended programming practices to facilitate the portability of science computer programs

File Description: Medium: X; Size: Pages: 4

Access URL: http://www.osti.gov/scitech/biblio/6997850

Autonomous interface agents for assessing computer programs utilizing the Microsoft Windows 32-bit application programming interface.

Authors: Joubert, Gideon Francois

Subject Terms: intelligent agents (computer software), machine learning, case- based reasoning, genetic algorithms, microsoft win32

Availability: http://hdl.handle.net/10210/498

5 Months of Haskell : Programming languages as just other programs. Contribution toward a field of computer science education

Authors: Camille Akmut

Subject Terms: Computer Sciences, 4. Education, Physical Sciences and Mathematics

Access URL: https://osf.io/uqdpx/download

INTRODUCTION TO COMPUTER PROGRAMMING THROUGH A SYSTEM OF TASKS.

Authors: Laskov, Lasko M.¹ llaskov@nbu.bg

Source: Mathematics & Informatics. 2021, Vol. 64 Issue 6, p634-649. 16p.

Subject Terms: *COMPUTER programming, *ACADEMIC programs, *MEDICAL informatics, *TASKS, *APPLIED mathematics

Current Trends of Teaching Computer Programming in Undergraduate CS Programs: A Survey from Ecuadorian Universities

Authors: Arcos, Gloria Aguirre, Gladys L. Hidalgo, Blanca et al.

Source: KnE Engineering; Simposio Iberoamericano en Programación Informática (Ibero-American Symposium on Computer Programming); 253-275

Subject Terms: 4. Education, 05 social sciences, 0503 education

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Access URL: https://knepublishing.com/index.php/KnE-Engineering/article/download/1499/3385
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https://knepublishing.com/index.php/KnE-Engineering/article/view/1499
http://ridda2.utp.ac.pa/handle/123456789/4282

Artificial intelligence systems: 382 стремимся обеспечить их работой в МТС. Таким образом, численность работающих в промышленности республики за 1941-1945 гг. увеличился на 14,7 процента и в 0,9 раза больше в машиностроении. Число женщин, занятых в промышленности, увеличилось с 40,7% в 1940 году до 55,2% в 1943 году. Значительно выросли и национальные кадры рабочего класса Узбекистана [10, C. 8]. Литература: 1. Абдуллаев Ш.Ш. От неравенства – к расцвету. - Ташкент: Госиздат, 1964. - С. 170. 2. Ата-Мирзаев, Гентшке В., Муртазаева Р. Узбекистан многонационален: историко-демографический аспект. - Ташкент: Поколение нового века, 2011. - С. 120. 3. Ахунова М.А., Яцышина А.Ф. Рабочий класс Узбекистана – ведущая сила социалистического и коммунистического строительства в республике. Общественные науки в Узбекистане. - Ташкент: Изд. Академия наук Узбекской ССР. 1964 г. №5. - С. 8. 4. Журнал «Огонек». - Москва. Правда. Май, 1951 г. № 20. - С. 1. 5. История Узбекской ССР. Том четвертый. - Ташкент, 1968. - С. 103. 6. НА РУз., ф. 88, соч. 9, д. 5050, л. 32-34. 7. Озерова Н. Экономическая политика и миграционные процессы в Узбекистане (1917-1939 гг.). // Этнодемографические процессы в Узбекистане. Материалы международной научно-практической конференции. - Ташкент: Университет, 2005. - С. 96. 8. «Правда Востока», 4 января, 1944 г. - C. 1. 9. «Правда», 17 декабря, 1944 г. - C. 1. 10. https://lex.uz/docs/5073449 11. Мухаммадиев, Рахмон Рашидович. "ЎЗБЕКИСТОН ХОТИН-ҚИЗЛАРИНИНГ ИККИНЧИ ЖАҲОН УРУШИДАГИ МЕҲНАТ ЖАСОРАТЛАРИ." ВЗГЛЯД В ПРОШЛОЕ 3.9 (2020). ARTIFICIAL INTELLIGENCE SYSTEMS Abdullayeva O.S. Doctor of philosophy degree (PhD) in pedagogical sciences, professor of dept. Information Technology in Technical Systems of Namangan Engineering-сonstruction Institute Engalichev M.I. Dept. Audiovisual technologies of Tashkent University of Information Technologies named by Muhammad Al- Khwarizmi Today, artificial intelligence is becoming more and more popular in almost every aspect of our daily lives. Artificial intelligence is usually concerned with 383 the creation of computer systems with the capabilities of the human mind: understanding, learning, discussing, solving problems, translating, and so on. During the study of artificial intelligence, human-intelligent programming, technologies and tools for designing intelligent systems, databases, knowledge bases, database management systems, speech interfaces, computer linguistics, computer graphics, computer networks and web programming , information security in computer systems. The main purpose of artificial intelligence was originally to play the role of an “enhancer” of the human mind, and this allowed it to solve a problem that required such knowledge, experience, and a way of thinking that it could not. It was not considered necessary or purchased until he encountered the problem. For any typological category of intellectual system (ES, NS or hybrid) to fully meet this goal, it must have the qualities (characteristics and abilities) of an ideal human assistant: - honesty, understanding, receptivity and diligence. If we turn to more specific concepts, then from the point of view of IS construction theory and practice, these qualities are interpreted as follows: - communication, interpreted as different ways of communicating with the existing system for all categories of users; - universality of the various tasks that make up the range of problems in which the system must operate; - “ability” to learn on the basis of experience and knowledge, change the conditions for solving the problem of adaptation; - appears for reconstruction when changing the basic rules (concepts) of the subject (and therefore the problem) area. Intelligence is the ability of the human brain to solve intellectual problems. The process is based on the experience of receiving, remembering, and modifying target knowledge, as well as adapting it to different contexts. The word “knowledge” in the above definition refers not only to the information received by man through the senses, but also to the interconnectedness of all the objects in nature that surround us [7]. Everyone stores in their brains all the visual and auditory information around their location. Knowledge, therefore, is the result of an idea that has been tested in practice and logically determined. Basically, knowledge is a person's understanding, thinking, and theory, and it develops as a result of learning in the course of life. Artificial intelligence is the ability of automatic systems to perform specific functions of human intelligence. For example, it is necessary to answer the optimal question by selecting on the basis of previous experience and analyzing external influences. Work in the field of artificial intelligence is aimed at creating methods, tools and technologies for designing computer systems (training, expert, consulting, robotics, etc.) to solve traditional intellectual problems. is one of the most important tasks in design. The resolution of the President “On measures to create conditions for the rapid introduction of artificial intelligence technologies” is also in line with the 384 strategy “Digital Uzbekistan – 2030” and the rapid introduction of artificial intelligence technologies and their widespread use in the country, expanding the use of digital data. was accepted for training. This decision approved a program of measures for the study and introduction of artificial intelligence technologies in 2021-2022. The program identifies a number of tasks related to the development of artificial intelligence development strategy and regulatory framework, its widespread use in improving the quality of public services, the creation of local ecosystems of innovative developments in the field and the development of international cooperation [1]. Artificial intelligence is a technology that focuses on thinking and acting like humans on computers, artificial intelligence requires high-powered computers, data, artificial intelligence algorithms to work. According to the definition of scientists, artificial intelligence is an intellectual artificial system that performs the logical and creative functions of man. Artificial intelligence is extremely relevant in the current information age, and humanity will find positive solutions to the global problems of the XXI century through the discovery of new opportunities in science through artificial intelligence. It will also increase the availability of quality services in medicine, education, energy, agriculture, urban planning and all other areas. By September 1, 2021, a digital data platform will be created for the population and the necessary users to use artificial intelligence-based software and other data. Each of these educational institutions attracts highly qualified specialists in artificial intelligence from abroad. In addition, special courses on the application of artificial intelligence technologies in sectors of the economy and public administration will be organized at 15 universities. Any achievement of science and technology should serve the development of mankind. At the heart of the state programs aimed at the development of artificial intelligence in our country is the noble goal of improving the quality of services provided to the population, saving time and money of citizens, as well as the development of the industry at world standards. The following areas of information technology are studied in the study of artificial intelligence: ✓ programming and object-oriented programming; ✓ intelligent programming; ✓ technologies and tools for designing intelligent systems. Databases, knowledge bases and database management systems: ✓ speech interface, computer linguistics and computer; ✓ computer networks and Web applications; ✓ information security in computer systems; ✓ Practical geographic information systems. A graduate of the specialty “Artificial Intelligence” can work in enterprises and organizations that manufacture and operate computer equipment, computer systems and networks, software. Our country has set many tasks aimed at the introduction of artificial intelligence technologies, their widespread use, 385 expanding the use of digital data, training qualified personnel in this field, in short, the development of the industry at the level of world standards. In this regard, strategies for the development of artificial intelligence have been adopted in more than 30 countries, including the United States, Germany, Japan, France, Korea and Canada. In conclusion, it should be noted that the “Joint Union” for the development of artificial intelligence is being formed in government agencies, commercial banks, large industrial enterprises. This alliance will serve for the rapid and joint implementation of priority projects for the introduction of artificial intelligence technologies in the economy and the social sphere, public administration, optimization of costs for their development, dissemination of best practices in this area among government agencies and bodies. The system increases the quality of service in all areas. References: 1. X.N.Zayniddinov, T.A.Khodjakulov, M.P.Atadjanova Artificial intelligence. - Toshkent, 2018 y. 2. X.Nigmatov. Toshkent 2019 y. Z.Sh.Nazirov, A.Nematov, R.Qobulov, N.Mardonova. Database. – Toshkent, 2007 y. 4. A.R.Ruziqulov. Methodological issues of database creation. – Toshkent, 2006 y. 5. M.Kadirov. Information Technology Part 1. – Toshkent, 2018 y. 6. Information systems and technologies. – Toshkent, 2000 y. 7. Шакиров, Ильяс Рахимзянович. "ЛИ КУАН Ю– ОСНОВОПОЛОЖНИК СОВРЕМЕННОГО СИНГАПУРА." Научные разработки: евразийский регион (2019): 54. ОПЫТ ИСПОЛЬЗОВАНИЯ QR-КОДОВ И ТЕХНОЛОГИЙ ДОПОЛНЕННОЙ РЕАЛЬНОСТИ НА УРОКАХ В ШКОЛАХ УЗБЕКИСТАНА. (НА ПРИМЕРЕ ТЕМЫ «ЖИЗНЬ И ДЕЯТЕЛЬНОСТИ ВЫДАЮЩЕГОСЯ ГОСУДАРСТВЕННОГО И ОБЩЕСТВЕННОГО ДЕЯТЕЛЯ, ПИСАТЕЛЯ И ПОЭТА Ш. Р. РАШИДОВА) Рашидова С.И. Первый заместитель Председателя Правления Международного Общественного Фонда им. Ш. Рашидова Международным Общественным Фондом Шарафа Рашидова и узбекской компанией OOO «Smart Chain», специализирующейся в области инновационных цифровых информационным технологий, совместно была разработанна образовательная среда с применением QR – кодов и

Authors: O Abdullayeva M Engalichev

Source: Значение цифровых технологий в изучении истории Узбекистана. 1:382-385

Autonomous interface agents for assessing computer programs utilizing the Microsoft Windows 32-bit application programming interface

Subject Terms: intelligent agents (computer software), machine learning, microsoft win32, case- based reasoning, genetic algorithms

Access URL: http://hdl.handle.net/10210/498

Computer Programs for Mathematical Programming Models in Production Planning.

Authors: Pariente,Silvia Hax,Arnoldo C. MASSACHUSETTS INST OF TECH CAMBRIDGE OPERATIONS RESEARCH CENTER

Contributors: Pariente,Silvia Hax,Arnoldo C. MASSACHUSETTS INST OF TECH CAMBRIDGE OPERATIONS RESEARCH CENTER

Source: DTIC AND NTIS

Subject Terms: Computer Programming and Software, COMPUTER PROGRAMS, MATHEMATICAL PROGRAMMING, INVENTORY CONTROL, LINEAR PROGRAMMING, VARIABLES, PLANNING, COST MODELS, WORK, WORK MEASUREMENT, Production planning

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Relation: http://www.dtic.mil/docs/citations/ADA026344

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A Cross-Analysis of Block-Based and Visual Programming Apps with Computer Science Student-Teachers

Authors: João, Piedade Nuno, Dorotea Fábio, Sampaio Ferrentini et al.

Source: Education Sciences. 2019 9.

Peer Reviewed: Y

Page Count: 19

Descriptors: Computer Oriented Programs, Programming, Computer Science Education, Student Teachers, Computation, Foreign Countries, Masters Programs, Preferences, Teaching Methods, Programming Languages

Geographic Terms: Portugal

Middle School Students Communicating Computational Thinking: A Systemic Functional Linguistics-Case Study of Bilingual, Collaborative Teaching/Learning of Computer Programming in Python

Authors: Jose Antonio Lecea Yanguas

Source: ProQuest LLC. 2022Ph.D. Dissertation, The University of New Mexico.

Peer Reviewed: N

Page Count: 490

Sponsoring Agency: National Science Foundation (NSF)

Descriptors: Middle School Students, Logical Thinking, Thinking Skills, Communication (Thought Transfer), Bilingualism, Team Teaching, Computer Science Education, Programming, Programming Languages, Educational Environment, After School Programs, Language Arts, Language Teachers, Video Technology, Student Projects, Information Technology

Access URL: https://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:29065521

Pedagogy and Processes for a Computer Programming Outreach Workshop--The Bridge to College Model

Authors: Tangney, Brendan Oldham, Elizabeth Conneely, Claire et al.

Source: IEEE Transactions on Education. Feb 2010 53(1):53-60.

Peer Reviewed: Y

Page Count: 8

Descriptors: Foreign Countries, Computer Software, Programming Languages, Computer Science Education, Programming, College School Cooperation, Attitude Change, Misconceptions, Group Activities, Teamwork, Outreach Programs, Career Awareness, Workshops, Secondary School Students, Program Descriptions, Program Evaluation, Program Effectiveness, Instructional Effectiveness, Student Attitudes, Questionnaires, Pretests Posttests

Geographic Terms: Ireland