Relevant bibliographies by topics / Other information and computing sciences

Academic literature on the topic 'Other information and computing sciences'

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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Journal articles on the topic "Other information and computing sciences"

Dong, Wen, Shi Qiao, Jia Li Mao, and Miao Yue. "The High Performance Computing of Inversion Algorithms." Advanced Materials Research 791-793 (September 2013): 1145–48. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1145.

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The inverse problem is an important interdisciplinary subject, which receives more and more attention in the fields of mathematics, computer science, information science and other applied natural sciences in recent years. Nowadays, the inverse problem is more and more commonly applied than before, e.g., in image processing and geophysics. This trend promotes the development of both the advanced computing methods and high performance computing techniques. The high performance of computing problems for inverse algorithms is discussed in this paper, which is meaningful for the research of applied inversion subjects.

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Paul, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Review of Civil Engineering 9, no. 1 (May 5, 2020): 23–31. http://dx.doi.org/10.51983/tarce-2020.9.1.2290.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and also falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other subjects such as Bio Informatics, Geo Informatics, Health Informatics, etc. Agricultural Informatics is growing rapidly and emerging as a field internationally in many countries. IT and computing applications in different areas, sectors and subjects including societal areas are considered as Information Science. Thus, Agricultural Informatics is socially connected or touched. Thus, the applications of Computing including the latest technologies in agriculture and allied areas treated as Agricultural Informatics. Though it is the application of more than technologies and includes the techniques, methodologies, procedure, etc into Agriculture. Agricultural Informatics is the analysis, management and processing of agricultural data with the help of IT Systems. Agriculture is also an interdisciplinary field and responsible for cultivating or producing the food, feed, fiber, corn, various plants, vegetables including the domesticated animals with scientific methods. Agricultural Informatics is therefore an interdisciplinary area combines with both Agricultural Sciences and allied areas with IT & Computing. This paper is theoretical as well as conceptual in nature and deals with mainly various aspects of Agricultural Informatics viz. foundation, nature and characteristics, role and functions in detail. It also briefly explores about the stakeholders and technologies of Agro Informatics.

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Paulz, P. K., R. R. Sinha, P. S. Aithal, Ricardo Saavedra, and Bashiru Aremu. "Agro Informatics with Reference to Features, Functions and Emergence as a Discipline in Agricultural Sciences: An Analysis." Asian Journal of Information Science and Technology 10, no. 1 (May 5, 2020): 41–50. http://dx.doi.org/10.51983/ajist-2020.10.1.298.

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There are many interdisciplinary subjects worldwide and this trend is growing rapidly. Among these subjects, one of the important is Agricultural Information Science. Information Science deals with the nature of Interdisciplinary Sciences and falls under the category of Applied Sciences. The field is very much synonymously and treated as equal to Informatics in some countries. The branch therefore also called as Agro Informatics and consists with both practicing nature and as a field of study. The applications of IT and Computing in other subjects and areas led to the development of other subjects such as Bio Informatics, Geo Informatics, Health Informatics, etc. Agricultural Informatics is growing rapidly and emerging as a field internationally in many countries. IT and computing applications in different areas, sectors and subjects including societal areas are considered as Information Science. Thus, Agricultural Informatics is socially connected or touched. Thus, the applications of Computing including the latest technologies in agriculture and allied areas treated as Agricultural Informatics. Though it is the application of more than technologies and includes the techniques, methodologies, procedure, etc into Agriculture. Agricultural Informatics is the analysis, management, and processing of agricultural data with the help of IT Systems. Agriculture is also an interdisciplinary field and responsible for cultivating or producing the food, feed, fiber, corn, various plants, vegetables including the domesticated animals with scientific methods. Agricultural Informatics is therefore an interdisciplinary area combines with both Agricultural Sciences and allied areas with IT & Computing. This paper is theoretical as well as conceptual in nature and deals with mainly various aspects of Agricultural Informatics viz. foundation, nature and characteristics, role and functions in detail. It also briefly explores about the stakeholders and technologies of Agro Informatics.

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Dodig-Crnkovic, G. "Natural morphological computation as foundation of learning to learn in humans, other living organisms, and intelligent machines." Philosophical Problems of Information Technologies and Cyberspace, no. 1 (July 14, 2021): 4–34. http://dx.doi.org/10.17726/philit.2021.1.1.

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The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature.

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Dodig-Crnkovic, Gordana. "Natural Morphological Computation as Foundation of Learning to Learn in Humans, Other Living Organisms, and Intelligent Machines." Philosophies 5, no. 3 (September 1, 2020): 17. http://dx.doi.org/10.3390/philosophies5030017.

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The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach human-level intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature.

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Paul, P. K., R. R. Sinha, Pappachan Baby, K. S. Shivraj, Bashiru Aremu, and S. Mewada. "Agricultural Informatics as a Branch of Study in Information Sciences and Technology Domain-A Proposal towards Digital Agriculture." International Journal of World Policy and Development Studies, no. 66 (August 8, 2020): 56–65. http://dx.doi.org/10.32861/ijwpds.66.56.65.

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Agricultural Informatics is a valuable domain in the field of interdisciplinary sciences. This is responsible for the applications of Information Technology, Computing and similar technologies into the agricultural activities. This is the combination of Agricultural Science and Information Sciences. The field due to technological nature is much closed with the Agricultural Engineering or Agricultural Technology. There are many allied and similar nomenclature of the fields but all of these are primarily responsible for the same purpose. The field is rapidly increasing in recent past and most practiced in the developed nation. However, in developing countries as well Agricultural Informatics becomes an emerging field of practice and growing rapidly. Agricultural Informatics is growing both in pre and post agricultural activity. This branch is considered as branch of Information Sciences & Technology due to its technological applications in the field of agriculture and allied areas. Information Sciences are the broadest field within the allied branches and growing rapidly. Agricultural Informatics educational programs have started in recent past in different level and stream of education viz. science and technology. However within the broad periphery of Information Sciences it could be offered in other streams and under the wide variety of Information Sciences. This paper is broad and interdisciplinary in nature and deals with the aspects of the Information Sciences and Technology including features, nature, scope and also the potentialities in respect of Agricultural Informatics.

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Paul, P. K., R. R. Sinha, Pappachan Baby, K. S. Shivraj, Bashiru Aremu, and S. Mewada. "Agricultural Informatics as a Branch of Study in Information Sciences and Technology Domain: A Proposal towards Digital Agriculture." Asian Journal of Science and Applied Technology 9, no. 1 (May 5, 2020): 1–9. http://dx.doi.org/10.51983/ajsat-2020.9.1.1054.

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Agricultural Informatics is an important and valuable domain in the field of interdisciplinary sciences. This is responsible for the applications of Information Technology, Computing, and similar technologies into the agricultural activities. This is the combination of Agricultural Science and Information Sciences. The field due to technological nature is very closed with the Agricultural Engineering or Agricultural Technology. There are many allied and similar nomenclature of the fields, but all of these are primarily responsible for the same purpose. The field is rapidly increasing in recent past and most practiced in the developed nation. However, in developing countries as well Agricultural Informatics becomes an emerging field of practice and growing rapidly. Agricultural Informatics is growing both in pre and post agricultural activity. This branch is considered as branch of Information Sciences & Technology due to its technological applications in the field of agriculture and allied areas. Information Sciences are the broadest field within the allied branches and growing rapidly. Agricultural Informatics educational programs have started in recent past in different level and stream of education viz. science and technology. However, within the broad periphery of Information Sciences it could be offered in other streams and under the wide variety of Information Sciences. This paper is broad and interdisciplinary in nature and deals with the aspects Information Sciences including features, basic role, Information Sciences and Technology, including features, nature, scope and also the potentialities in respect of Agricultural Informatics.

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Kumar, Arun, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, and Victor Vianu. "Database Education at UC San Diego." ACM SIGMOD Record 51, no. 3 (November 21, 2022): 43–46. http://dx.doi.org/10.1145/3572751.3572763.

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We are in the golden age of data-intensive computing. CS is now the largest major in most US universities. Data Science, ML/AI, and cloud computing have been growing rapidly. Many new data-centric job categories are taking shape in industry, e.g., data scientists, ML engineers, analytics engineers, and data associates. The DB/data management/data systems area is naturally a central part of all these transformations. Thus, the DB community must keep evolving and innovating to fulfill the need for DB education in all its facets, including its intersection with other areas such as ML, systems, HCI, various domain sciences, etc., as well as bridging the gap with practice and industry.

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Dong, Wen, and Tao Sun. "Comparison of Tikhonov Regularization and Adaptive Regularization for III-Posed Problems." Applied Mechanics and Materials 380-384 (August 2013): 1193–96. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.1193.

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nverse problems are important interdisciplinary subject, which receive more and more attention in recent years in the areas of mathematics, computer science, information science and other applied natural sciences. There is close relationship between inverse problems and ill-posedness. Regularization is an important strategy when computing the ill-posed problems to maintain the stability of the computation.This paper compares a new regularization method,which is called Adaptive regularization, with the traditional Tikhonov regularization method. The conclusion that Adaptive regularization method is a stronger regularization method than the traditional Tikhonov regularization method can be made by computing some numerical examples.

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Garcia, Paulo, Francine Darroch, Leah West, and Lauren BrooksCleator. "Ethical Applications of Big Data-Driven AI on Social Systems: Literature Analysis and Example Deployment Use Case." Information 11, no. 5 (April 26, 2020): 235. http://dx.doi.org/10.3390/info11050235.

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The use of technological solutions to address the production of goods and offering of services is ubiquitous. Health and social issues, however, have only slowly been permeated by technological solutions. Whilst several advances have been made in health in recent years, the adoption of technology to combat social problems has lagged behind. In this paper, we explore Big Data-driven Artificial Intelligence (AI) applied to social systems; i.e., social computing, the concept of artificial intelligence as an enabler of novel social solutions. Through a critical analysis of the literature, we elaborate on the social and human interaction aspects of technology that must be in place to achieve such enabling and address the limitations of the current state of the art in this regard. We review cultural, political, and other societal impacts of social computing, impact on vulnerable groups, and ethically-aligned design of social computing systems. We show that this is not merely an engineering problem, but rather the intersection of engineering with health sciences, social sciences, psychology, policy, and law. We then illustrate the concept of ethically-designed social computing with a use case of our ongoing research, where social computing is used to support safety and security in home-sharing settings, in an attempt to simultaneously combat youth homelessness and address loneliness in seniors, identifying the risks and potential rewards of such a social computing application.

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Dissertations / Theses on the topic "Other information and computing sciences"

Das, Gupta Jishu. "Performance issues for VOIP in Access Networks." Thesis, University of Southern Queensland, 2005. https://eprints.qut.edu.au/12724/1/Das_Gupta_MComputing_Dissertation.pdf.

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The is a general consensus that the Quality of Service (QoS) of Voice over Internet Protocol (VOIP) is of growing importance for research and study. In this dissertation we investigate the performance of VOIP and the impact of resource limitations in the performance of Access Networks. The impact of VOIP performance in access networks is particularly important in regions where Internet resources are limited and the cost of improving these resources is prohibitive. It is clear that perceived VOIP performance, as measured by mean opinion score in experiments where subjects are asked to rate communication quality, is determined by end to end delay on the communication path, delay variation, packet loss, echo, the coding algorithm in use and noise. These performance indicators can be measured and the contribution in the access network can be estimated. The relation between MOS and technical measurement is less well understood. We investigate the contribution of the access network to the overall performance of VOIP services and the ways in which access networks can be designed to improve VOIP performance. Issues of interest include the choice of coding rate, dynamic variation of coding rate, packet length, methods of controlling echo, and the use of Active Queue Management (AQM) in Access Network routers. Methods for analyzing the impact of the access network on VOIP performance will be surveyed and reviewed. Also, we consider some approaches for improving performance of VOIP by doing some experiment using NS2 simulation software with a view to gaining a better understanding of the design of access networks.

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Ashwell, Douglas James. "Reflecting diversity or selecting viewpoints : an analysis of the GM debate in New Zealand's media 1998-2002 : a thesis presented in partial fulfilment of the requirements for the degree of PhD in Communication at Massey University, Palmerston North, New Zealand." Massey University, 2009. http://hdl.handle.net/10179/1200.

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The advent of genetically modified (GM) food in New Zealand in 1998 saw the beginning of a highly politicised debate about GM use in the country. The concern over GM and the political situation after the 1999 general election saw the Government establish a Royal Commission of Inquiry on Genetic Modification in May, 2000. The Royal Commission and strong public opposition to GM, evident in large public protests and other actions, made the issue highly newsworthy. The aim of this study was to explore how newspapers reported the GM debate, in particular, examining whether the reportage facilitated greater public debate and awareness about GM through journalists adhering to the ideals of the theory of social responsibility and enacting their watchdog role as encapsulated in the Fourth Estate tradition of the media. To achieve these aims the overall tone of the reportage and also which news source types and themes were most frequently reported were examined. In addition, the relationship and perceptions of scientists and journalists involved in the reporting were explored to examine how these relationships may have influenced the reportage. Content analysis showed the reportage had a pro-GM bias with policy-makers, scientists and industry spokespeople the most frequently cited news sources. The themes of Science, Economics and Politics dominated the reportage. Other source types and themes were less represented, especially themes dealing with ethical and environmental arguments. This lack of representation occurred despite the Royal Commission offering a space for all interested parties to speak. The interviews illustrated that scientists believed the quality of newspaper coverage of GM lacked depth and that important issues were unreported. Journalists found the issue complex to report and said they took care not to oversimplify the science and issues surrounding GM. The relationship between scientists and journalists indicated particular tensions existing between the two groups. The thesis concludes that if robust public debate is to occur within New Zealand regarding GM and other scientific developments, then the media should reflect a greater diversity of opinion by citing other potential news sources offering alternative arguments based on, for example, ethical or environmental grounds.

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Mani, Sindhu. "Empirical Performance Analysis of High Performance Computing Benchmarks Across Variations in Cloud Computing." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/418.

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High Performance Computing (HPC) applications are data-intensive scientific software requiring significant CPU and data storage capabilities. Researchers have examined the performance of Amazon Elastic Compute Cloud (EC2) environment across several HPC benchmarks; however, an extensive HPC benchmark study and a comparison between Amazon EC2 and Windows Azure (Microsoft’s cloud computing platform), with metrics such as memory bandwidth, Input/Output (I/O) performance, and communication computational performance, are largely absent. The purpose of this study is to perform an exhaustive HPC benchmark comparison on EC2 and Windows Azure platforms. We implement existing benchmarks to evaluate and analyze performance of two public clouds spanning both IaaS and PaaS types. We use Amazon EC2 and Windows Azure as platforms for hosting HPC benchmarks with variations such as instance types, number of nodes, hardware and software. This is accomplished by running benchmarks including STREAM, IOR and NPB benchmarks on these platforms on varied number of nodes for small and medium instance types. These benchmarks measure the memory bandwidth, I/O performance, communication and computational performance. Benchmarking cloud platforms provides useful objective measures of their worthiness for HPC applications in addition to assessing their consistency and predictability in supporting them.

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Samuelsson, Erika. "Arkivteoretiska krav på informationen i molnet : En studie om vilka kunskaper som leverantörer av molntjänster har angående arkivteoretiska kvalitetskrav på information." Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-19254.

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Idag pratas det mycket om ett fenomen som kallas Cloud Computing, vilket kan kort beskrivas som tillhandahållning av datorresurser så som informationslagring, processorkraft och applikationer via Internet. Begreppet Cloud Computing har ingen direkt motsvarighet på svenska men kan översättas till exempelvis molnbaserade datortjänster eller molntjänster. Vanligtvis så innebär Cloud Computing att it-företag hyr ut en del av en server samt annan datorservice till en organisation. Cloud Computing är ett attraktivt alternativ för både den privata och offentliga sektorn och efterfrågas i allt större utsträckning. Från ett arkivvetenskapligt perspektiv associeras Cloud Computing med många fördelar, men kanske med ännu fler nackdelar. De centrala problemföreställningarna relateras till tillit i en digital miljö. Frågor om hur information kan förbli autentisk, tillgänglig och fri från insyn från icke behöriga personer genom hela dess livscykel är framträdande i den arkivvetenskapliga debatten. Syftet med uppsatsen är att undersöka medvetenheten hos svenska leverantörer av molntjänster gällande de särskilda krav som ställs på arkivinformation, som kvalitetskraven pålitlighet, autenticitet samt tillgänglighet. Detta är något som inte har diskuterats i så stor utsträckning inom arkivvetenskapen. För att samla in det empiriska materialet genomfördes kvalitativa intervjuer med företag som på något sätt tillhandahåller molntjänster. Resultaten av intervjuerna analyserades med hjälp av teoretiskt material huvudsakligen baserat på The International Research on Permanent Authentic Records in Electronic Systems (InterPARES) forskning och begreppsbildningar. Resultat från studien visar att de tillfrågade företagen som tillhandahåller molntjänster arbetar mycket med säkerhet för att på så vis kunna så långt det är möjligt säkerställa att informationen förvarat i molnet förblir enligt vad de definierar som autentiskt och att kundens krav säkerställs. De har skilda uppfattningar om vad autenticitet innebär och vilket även delvis skiljer sig från den arkivteoretiska tolkningen. Tillgänglighet är ett av de främsta kraven som kunden ställer på informationen och som således är något som it-företagen prioriterar i deras tjänster.

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Bahi, Mouad. "High Performance by Exploiting Information Locality through Reverse Computing." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00768574.

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The main resources for computation are time, space and energy. Reducing them is the main challenge in the field of processor performance.In this thesis, we are interested in a fourth factor which is information. Information has an important and direct impact on these three resources. We show how it contributes to performance optimization. Landauer has suggested that independently on the hardware where computation is run information erasure generates dissipated energy. This is a fundamental result of thermodynamics in physics. Therefore, under this hypothesis, only reversible computations where no information is ever lost, are likely to be thermodynamically adiabatic and do not dissipate power. Reversibility means that data can always be retrieved from any point of the program. Information may be carried not only by the data but also by the process and input data that generate it. When a computation is reversible, information can also be retrieved from other already computed data and reverse computation. Hence reversible computing improves information locality.This thesis develops these ideas in two directions. In the first part, we address the issue of making a computation DAG (directed acyclic graph) reversible in terms of spatial complexity. We define energetic garbage as the additional number of registers needed for the reversible computation with respect to the original computation. We propose a reversible register allocator and we show empirically that the garbage size is never more than 50% of the DAG size. In the second part, we apply this approach to the trade-off between recomputing (direct or reverse) and storage in the context of supercomputers such as the recent vector and parallel coprocessors, graphical processing units (GPUs), IBM Cell processor, etc., where the gap between processor cycle time and memory access time is increasing. We show that recomputing in general and reverse computing in particular helps reduce register requirements and memory pressure. This approach of reverse rematerialization also contributes to the increase of instruction-level parallelism (Cell) and thread-level parallelism in multicore processors with shared register/memory file (GPU). On the latter architecture, the number of registers required by the kernel limits the number of running threads and affects performance. Reverse rematerialization generates additional instructions but their cost can be hidden by the parallelism gain. Experiments on the highly memory demanding Lattice QCD simulation code on Nvidia GPU show a performance gain up to 11%.

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Kaza, Bhagavathi. "Performance Evaluation of Data Intensive Computing In The Cloud." UNF Digital Commons, 2013. http://digitalcommons.unf.edu/etd/450.

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Big data is a topic of active research in the cloud community. With increasing demand for data storage in the cloud, study of data-intensive applications is becoming a primary focus. Data-intensive applications involve high CPU usage for processing large volumes of data on the scale of terabytes or petabytes. While some research exists for the performance effect of data intensive applications in the cloud, none of the research compares the Amazon Elastic Compute Cloud (Amazon EC2) and Google Compute Engine (GCE) clouds using multiple benchmarks. This study performs extensive research on the Amazon EC2 and GCE clouds using the TeraSort, MalStone and CreditStone benchmarks on Hadoop and Sector data layers. Data collected for the Amazon EC2 and GCE clouds measure performance as the number of nodes is varied. This study shows that GCE is more efficient for data-intensive applications compared to Amazon EC2.

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Maor, Amit. "Using a Data Warehouse as Part of a General Business Process Data Analysis System." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1383.

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Data analytics queries often involve aggregating over massive amounts of data, in order to detect trends in the data, make predictions about future data, and make business decisions as a result. As such, it is important that a database management system (DBMS) handling data analytics queries perform well when those queries involve massive amounts of data. A data warehouse is a DBMS which is designed specifically to handle data analytics queries. This thesis describes the data warehouse Amazon Redshift, and how it was used to design a data analysis system for Laserfiche. Laserfiche is a software company that provides each of their clients a system to store and process business process data. Through the 2015-16 Harvey Mudd College Clinic project, the Clinic team built a data analysis system that provides Laserfiche clients with near real-time reports containing analyses of their business process data. This thesis discusses the advantages of Redshift’s data model and physical storage layout, as well as Redshift’s features directly benefit of the data analysis system.

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Terner, Olof, and Hedbjörk Villhelm Urpi. "Quantum Computational Speedup For The Minesweeper Problem." Thesis, Uppsala universitet, Teoretisk fysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325945.

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Quantum computing is a young but intriguing field of science. It combines quantum mechanics with information theory and computer science to potentially solve certain formerly computationally expensive tasks more efficiently. Classical computers are based on bits that can take on the value zero or one. The values are distinguished by voltage differences in transistors. Quantum computers are instead based on quantum bits, or qubits, that are represented physically by something that exhibits quantum properties, like for example electrons. Qubits also take on the value zero or one, which could correspond to spin up and spin down of an electron. However, qubits can also be in a superposition state between the quantum states corresponding to the value zero and one. This property is what causes quantum computers to be able to outperform classical computers at certain tasks. One of these tasks is searching through an unstructured database. Whereas a classical computer in the worst case has to search through the whole database in order to find the sought element, i.e. the computation time is proportional to the size of the problem, it can be shown that a quantum computer can find the solution in a time proportional to the square root of the size of the problem. This report aims to illustrate the advantages of quantum computing by explicitly solving the classical Windows game Minesweeper, which can be reduced to a problem resembling the unstructured database search problem. It is shown that solving Minesweeper with a quantum algorithm gives a quadratic speedup compared to solving it with a classical algorithm. The report also covers introductory material to quantum mechanics, quantum gates, the particular quantum algorithm Grover's algorithm and complexity classes, which is necessary to grasp in order to understand how Minesweeper can be solved on a quantum computer.

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Kaddour, Inan. "Mobile Cloud Computing: A Comparison Study of Cuckoo and AIOLOS Offloading Frameworks." UNF Digital Commons, 2018. https://digitalcommons.unf.edu/etd/785.

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Currently, smart mobile devices are used for more than just calling and texting. They can run complex applications such as GPS, antivirus, and photo editor applications. Smart devices today offer mobility, flexibility, and portability, but they have limited resources and a relatively weak battery. As companies began creating mobile resource intensive and power intensive applications, they have realized that cloud computing was one of the solutions that they could utilize to overcome smart device constraints. Cloud computing helps decrease memory usage and improve battery life. Mobile cloud computing is a current and expanding research area focusing on methods that allow smart mobile devices to take full advantage of cloud computing. Code offloading is one of the techniques employed in cloud computing with mobile devices. This research compares two dynamic offloading frameworks to determine which one is better in terms of execution time and battery life improvement.

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Spikol, Daniel. "Playing and Learning Across Locations: : Indentifying Factors for the Design of Collaborative Mobile Learning." Licentiate thesis, Växjö University, School of Mathematics and Systems Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-3698.

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The research presented in this thesis investigates the design challenges associated with the development and use of mobile applications and tools for supporting collaboration in educational activities. These technologies provide new opportunities to promote and enhance collaboration by engaging learners in a variety of activities across different places and contexts. A basic challenge is to identify how to design and deploy mobile tools and services that could be used to support collaboration in different kinds of settings. There is a need to investigate how to design collaborative learning processes and to support flexible educational activities that take advantage of mobility. The main research question that I focus on is the identification of factors that influence the design of mobile collaborative learning.

The theoretical foundations that guide my work rely on the concepts behind computer supported collaborative learning and design-based research. These ideas are presented at the beginning of this thesis and provide the basis for developing an initial framework for understanding mobile collaboration. The empirical results from three different projects conducted as part of my efforts at the Center for Learning and Knowledge Technologies at Växjö University are presented and analyzed. These results are based on a collection of papers that have been published in two refereed international conference proceedings, a journal paper, and a book chapter. The educational activities and technological support have been developed in accordance with a grounded theoretical framework. The thesis ends by discussing those factors, which have been identified as having a significant influence when it comes to the design and support of mobile collaborative learning.

The findings presented in this thesis indicate that mobility changes the contexts of learning and modes of collaboration, requiring different design approaches than those used in traditional system development to support teaching and learning. The major conclusion of these efforts is that the learners’ creations, actions, sharing of experiences and reflections are key factors to consider when designing mobile collaborative activities in learning. The results additionally point to the benefit of directly involving the learners in the design process by connecting them to the iterative cycles of interaction design and research.

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Books on the topic "Other information and computing sciences"

Hutchinson, Scott. Inside ArcView GIS. 2nd ed. Santa Fe, NM: Onword Press, 1997.

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C, Misra J., Goswami A. Dr, and Kumar Pawan Dr, eds. Computing and information sciences: Recent trends. New Delhi: Narosa Pub. House, 2003.

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1961-, Daniel Larry, ed. Inside ArcView GIS. 3rd ed. [South] Africa: OnWord Press, 2000.

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Elleithy, Khaled. Advanced techniques in computing sciences and software engineering. Edited by International Conference on Systems, Computing Sciences and Software Engineering (2008) and International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (2008). Dordrecht: Springer, 2010.

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Ruckemann, Claus-Peter. Integrated information and computing systems for natural, spatial, and social sciences. Hershey, PA: Information Science Reference, 2013.

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Sobh, Tarek M. Emerging Trends in Computing, Informatics, Systems Sciences, and Engineering. New York, NY: Springer New York, 2013.

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Geldenhuys, Aletta E. Knowledge representation and relation nets. Boston: Kluwer Academic Publishers, 1999.

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K, Kasabov Nikola, ed. Future directions for intelligent systems and information sciences: The future of speech and image technologies, brain computers, WWW, and bioinformatics. Heidelberg: Physica-Verlag, 2000.

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Sandra, Wood M., Horak Ellen Brassil, and Snow Bonnie, eds. End user searching in the health sciences. New York: Haworth Press, 1986.

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Myasnikov, Alexei G. Non-commutative cryptography and complexity of group-theoretic problems. Providence, R.I: American Mathematical Society, 2011.

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Book chapters on the topic "Other information and computing sciences"

Liu, Qian, Juan Gu, Jingchao Yang, Yun Li, Dexuan Sha, Mengchao Xu, Ishan Shams, Manzhu Yu, and Chaowei Yang. "Cloud, Edge, and Mobile Computing for Smart Cities." In Urban Informatics, 757–95. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_41.

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AbstractSmart cities evolve rapidly along with the technical advances in wireless and sensor networks, information science, and human–computer interactions. Urban computing provides the processing power to enable the integration of such technologies to improve the living quality of urban citizens, including health care, urban planning, energy, and other aspects. This chapter uses different computing capabilities, such as cloud computing, mobile computing, and edge computing, to support smart cities using the urban heat island of the greater Washington DC area as an example. We discuss the benefits of leveraging cloud, mobile, and edge computing to address the challenges brought by the spatiotemporal dynamics of the urban heat island, including elevated emissions of air pollutants and greenhouse gases, compromised human health and comfort, and impaired water quality. Cloud computing brings scalability and on-demand computing capacity to urban system simulations for timely prediction. Mobile computing brings portability and social interactivity for citizens to report instantaneous information for better knowledge integration. Edge computing allows data produced by in-situ devices to be processed and analyzed at the edge of the network, reducing the data traffic to the central repository and processing engine (data center or cloud). Challenges and future directions are discussed for integrating the three computing technologies to achieve an overall better computing infrastructure supporting smart cities. The integration is discussed in aspects of bandwidth issue, network access optimization, service quality and convergence, and data integrity and security.

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Hanifan, Ron. "Other Information." In SpringerBriefs in Applied Sciences and Technology, 85–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06983-8_11.

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Salamatian, Kavé. "Computing and the Temptation of Babel." In Life Sciences, Information Sciences, 231–41. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119452713.ch21.

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Missier, Paolo, Norman Paton, and Peter Li. "Workflows for Information Integration in the Life Sciences." In Search Computing, 215–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19668-3_20.

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Ceri, Stefano, and Marco Brambilla. "Search Computing: Addressing Complex Search on the Web." In Computer and Information Sciences II, 1–15. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2155-8_1.

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Choudhary, Arjun, and Rajesh Bhadada. "Insider Threat Detection and Cloud Computing." In Advances in Data and Information Sciences, 81–90. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5689-7_7.

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Bi, Huibo, and Erol Gelenbe. "A Cooperative Emergency Navigation Framework Using Mobile Cloud Computing." In Information Sciences and Systems 2014, 41–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09465-6_5.

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Horton, Forest Woody. "Career and Professional Opportunities and Challenges for Librarians and Other Information Professionals Specializing in Information Literacy and Lifelong Learning." In Library and Information Sciences, 3–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54812-3_1.

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Arora, Monika, Uma Kanjilal, and Dinesh Varshney. "Challenges in Web Information Retrieval." In Innovations in Computing Sciences and Software Engineering, 141–46. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9112-3_24.

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Pedrycz, Witold. "Granular Computing : An Introduction." In Future Directions for Intelligent Systems and Information Sciences, 309–28. Heidelberg: Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1856-7_15.

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Conference papers on the topic "Other information and computing sciences"

Zagumennov, A. A., and V. V. Naumova. "Development of the computing node for processing satellite imagery and spatial data for earth sciences." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.87.17.033.

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The work is devoted to the development of a computing node for processing satellite and spatial data for earth sciences by the example of its implementation as part of the Information and Analytical Environment to support scientific research in geology of the Vernadsky State Geological Museum (SGM RAS). The prerequisites for the creation of such a computing node and the requirements for it to solve geological problems are given. An overview of cloud platforms for access to satellite and spatial data and its processing has been presented. Based on the overview a conceptual diagram of a computing node has been proposed and the list of modern technologies required for building it has been determined. The developed node provides tools for searching data from external cloud providers, processing them with various built-in and custom algorithms, as well as tools for visualizing the results. It is an independent web service, although it is part of the Computational and Analytical Geological Environment of SGM RAS and is integrated with its services. This allows a wide range of users to access data and processing algorithms provided by computing node, including integrating it into other information systems as a third-party application for processing satellite and spatial data.

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Baginyan, A., A. Balandin, N. Balashov, A. Dolbilov, A. Gavrish, A. Golunov, N. Gromova, et al. "Current status of the MICC: an overview." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.34.56.001.

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The Multifunctional Information and Computing Complex (MICC) of the Joint Institute for Nuclear Research (JINR) runs Tier-1, which supports the NICA experiments and the LHC CMS experiment, Tier-2, which supports all LHC experiments, as well as the NICA experiments and other HEP experiments with JINR’s participation, cloud computing for neutrino physics experiments (Baikal-GVD, JUNO, DANS, etc.), as well as for the JINR Member States’ clouds, the “Govorun” supercomputer for all JINR programs, as well as for the NICA experiments and research in the field of machine learning and quantum computing. This activity is aimed at ensuring the further development of the network, information and computing infrastructure of JINR for the research and production activities of the Institute and its Member States on the basis of state-of-the-art information technologies in accordance with the JINR Seven-Year Plan of development for 2017-2023. This paper describes the current state of the MICC.

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Ali, Azad, and Frederick Kohun. "Comparing Two Program Contents with IT2005 Body of Knowledge." In InSITE 2008: Informing Science + IT Education Conference. Informing Science Institute, 2008. http://dx.doi.org/10.28945/3189.

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Academic computing programs often want to keep pace with technological changes by frequently updating their program contents. These program changes are often reactionary and lack uniform standards. Thus some of the changes are often rolled back and, as a result, face additional changes shortly after their implementation. A helpful strategy in computer program updates is to utilize a standard curriculum to gauge and benchmark the program. This paper compares the content of two technology programs with a standard curriculum developed by the Association of Computing Machinery (ACM) and other organizations including, AIS, AITP, IEEE and ABET-CAC. The paper examines the content of two technology programs: The T echnology Support and Training program (TST) at Eberly College of Business - Indiana University of Pennsylvania (IUP), and the Computer Information Systems (CIS) and Information Sciences (IS) programs in the School of Communications and Information Technology at Robert Morris University (RMU). It then compares the content of both programs with the Computing Curricula Information - Information T echnology Volume (IT2005) Body of Knowledge.

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Ramnath, Satchit, Payam Haghighi, Jiachen Ma, Jami J. Shah, and Duane Detwiler. "Design Science Meets Data Science: Curating Large Design Datasets for Engineered Artifacts." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22377.

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Abstract Machine learning is opening up new ways of optimizing designs, but it requires large data sets for training and verification. The primary focus of this paper is to explain the trade-offs between generating a large data set and the level of idealization required to automate the process of generating such a data set. This paper discusses the efforts in curating a large CAD data set with the desired variety and validity of automotive body structures. A method to incorporate constraint networks to filter invalid designs, prior to the start of model generation is explained. Since the geometric configurations and characteristics need to be correlated to performance (structural integrity), the paper also demonstrates automated workflows to perform finite element analysis on 3D CAD models generated. Key simulation results can then be associated with CAD geometry and fed to the machine learning algorithms. With the increase in computing power and network speed, such datasets could assist in generating better designs, which could potentially be obtained by a combination of existing ones, or might provide insights into completely new design concepts meeting or exceeding the performance requirements. The approach is explained using the hood frame as an example, but the same can be adopted to other design components.

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Govindarajulu, Chittibabu, and Susan K. Lippert. "The Status of End-User Computing Support: An Exploratory Study." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2490.

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End-User Computing (EUC) influences user productivity, information systems backlogs and user satisfaction. An exploratory study of 192 Midwest end-users was undertaken to investigate support services and end-user types superimposed on support sources. The results of this integrated review offer a richer understanding of end-user dynamics. Data collection occurred through a three-part questionnaire. End-user types were categorized using the Cotterman and Kumar (1989) classification scheme. Support categories were assessed using the Mirani and King (1994) instrument. The Govindarajulu and Reithel (1998) assessment instrument evaluated support services within information centers for local MIS staff and informal assistance. Results are presented from instrument validation procedures and descriptive data analysis that permit conclusions about EUC dynamics. Instrument validation was conducted using standard measures of internal consistency reliability and factor analysis, Cronbach’s alpha and a Principle Components Factor Analysis (PCFA), to facilitate factor loading. Descriptive data analysis employed conventional frequency distributions, scatterplots, descriptive data statistics, and other graphical data displays.

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Holden, Edward, and Elissa Weeden. "Prior Experience and New IT Students." In InSITE 2005: Informing Science + IT Education Conference. Informing Science Institute, 2005. http://dx.doi.org/10.28945/2861.

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The Information Technology (IT) Department of the Golisano College of Computing and Information Sciences (GCCIS) at Rochester Institute of Technology (RIT) offers core courses in four threads. These threads cover various subject areas of Information Technology. Increasingly, students enter the IT program with prior programming experience from high school or college courses, work, or from other activities. Several studies, including the authors’ own have indicated that students, who have prior experience, often perform better in the first programming course. Our earlier study verified that using 2002 data and found that after the first course, the experience did not have a significant impact on student performance in subsequent programming courses. In this study, we reexamined the results of our first study with data from 2003 and looked at beginning courses in other core threads to see if the prior experience had a significant impact on those courses.

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Ghosh, Koyel, and Apurbalal Senapati. "Technical Domain Classification of Bangla Text using BERT." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.16.

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Coarse-grained tasks are primarily based on Text classification, one of the earliest problems in NLP, and these tasks are done on document and sentence levels. Here, our goal is to identify the technical domain of a given Bangla text. In Coarse-grained technical domain classification, such a piece of the Bangla text provides information about specific Coarse-grained technical domains like Biochemistry (bioche), Communication Technology (com-tech), Computer Science (cse), Management (mgmt), Physics (phy) Etc. This paper uses a recent deep learning model called the Bangla Bidirectional Encoder Representations Transformers (Bangla BERT) mechanism to identify the domain of a given text. Bangla BERT (Bangla-Bert-Base) is a pretrained language model of the Bangla language. Later, we discuss the Bangla BERT accuracy and compare it with other models that solve the same problem.

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GUO, FENG, and HUI-LIN QIN. "APPLICATION OF BIG DATA IN ENTERPRISE MANAGEMENT." In 2021 International Conference on Management, Economics, Business and Information Technology. Destech Publications, Inc., 2021. http://dx.doi.org/10.12783/dtem/mebit2021/35618.

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With the continuous development of information technology, enterprises have gradually entered the era of big data. How to analyze the complex data and find out the useful information to promote the development of enterprises is becoming more and more important in the modernization of science and technology. This paper expounds the importance and existing problems of big data application in enterprise management, and briefly analyzes and discusses its application in enterprises and its future development direction and trend. With the rapid development of Internet of things, cloud computing and other information technology, the world ushered in the era of big data. It has become a trend to promote the deep integration of Internet, big data, artificial intelligence and real economy. Due to the rapid development of economy, the amount of data information generated in the process of consumption and production is very large. Under the traditional management mode, enterprises can not meet the needs of the current social and economic development. However, the application of big data technology in enterprises can achieve better analysis and Research on these data information, so as to provide reliable data basis for enterprises to carry out various business management decisions.

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Zheng, Zhihao, Yao Zhang, Vinay Gurram, Jose Salazar Useche, Isabella Roth, and Yi Hu. "Best Practices in Designing and Implementing Cloud Authentication Schemes." In 7th International Conference on Advances in Computer Science and Information Technology (ACSTY 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110307.

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At present, the development and innovation in any business/engineering field are inseparable from the computer and network infrastructure that supports the core business. The world has been turning into an era of rapid development of information technology. Every year, there are more individuals and companies that start using cloud storages and other cloud services for computing and information storage. Therefore, the security of sensitive information in cloud becomes a very important challenge that needs to be addressed. The cloud authentication is a special form of authentication for today’s enterprise IT infrastructure. Cloud applications communicate with the LDAP server which could be an on-premises directory server or an identity management service running on cloud. Due to the complex nature of cloud authentication, an effective and fast authentication scheme is required for successful cloud applications. In this study, we designed several cloud authorization schemes to integrate an onpremises or cloud-based directory service with a cloud application. We also discussed the pros and cons of different approaches to illustrate the best practices on this topic.

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Pedro, Hernandez, and Espitia Edinson. "Use of Analogies in Science Education, a Systematic Mapping Study." In 2nd International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.111008.

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This systematic mapping study consisted of tracking the scientific literature that addresses the issue of analogies as a didactic strategy in science teaching. An analogy can be understood as comparing an existing knowledge with a new knowledge to achieve a better understanding of the new knowledge as a result of the comparison of similarities; or in other words, use students' own concepts to introduce new concepts using comparisons between the two. The purpose of this study was to identify, analyze, synthesize and evaluate research works that touched on this topic, with this, to have knowledge about the models of uses of analogies, most used didactic strategies, research methodologies in this field and how to evaluate the learning effectiveness of working with analogies. The methodology that was used is the systematic mapping study; Five questions were posed that guided the information tracking process. Later, the electronic documents in English for the last twenty years were traced in five databases related to the educational field. Finally, it is concluded by responding to the purpose of the study where it is evident that, broadly speaking, the research methodologies in this field are quantitative as well as qualitative, to implement analogies, resources such as images, illustrations, textual indications and audiovisual aids are used, it is usually evaluated the effectiveness of using analogies with multiple choice tests, oral tests of creating analogies by students.

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Reports on the topic "Other information and computing sciences"

Dunning, T. H. Jr, and J. R. Lewis. Computing & Information Sciences. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10168837.

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Peterson, Marty J., Raymond A. Bair, Vickie R. Birkenthal, Paula J. Cowley, James D. Myers, Jaroslaw Nieplocha, and John M. Price. Annual Report 2000 Computing & Information Sciences. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/893678.

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Peterson, Marty J., Raymond A. Bair, Vickie R. Birkenthal, Paula J. Cowley, James D. Myers, Jarek Nieplocha, and John M. Price. Annual Report 2000 Computing and Information Sciences. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/789907.

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Schroeder, J. O., E. W. Pearson, J. J. Thomas, J. W. Brothers, W. K. Campbell, D. M. DeVaney, D. R. Jones, R. J. Littlefield, and M. J. Peterson. Computing and information sciences preliminary engineering design study. Office of Scientific and Technical Information (OSTI), April 1991. http://dx.doi.org/10.2172/5966282.

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Bauer, Travis, Walter Beyeler, Patrick Finley, Robert Jeffers, Carl Laird, Monear Makvandi, Alexander Outkin, Cosmin Safta, and Katherine Simonson. Sandia's Research in Support of COVID-19 Pandemic Response: Computing and Information Sciences. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1661021.

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Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, and Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3248.

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Currently, it is important in Ukraine to harmonize cloud technologies application with European and world scientific initiatives. Need to modernize preparation of future PhDs is caused by challenges of new information, globalized society and digital transformation of all spheres of life, including education and science. The research was aimed to determine features of cloud services application in preparation of future PhDs. Concepts of “cloud computing”, “cloud technologies”, “cloud learning technologies”, “cloud services”, “cloud oriented environment” were analyzed. Experience of cloud technologies and their services application in educational and scientific space in researches of foreign and Ukrainian students was considered. Ukrainian experience in preparation of future PhD of various specialties with cloud services application was analyzed. It was emphasized that approaches improving to preparation of future PhDs based on cloud services application would increase their level of digital competence. It is recommended to include a separate course or module of specific discipline on work with cloud technologies and services during preparation of future PhDs. It is important to improve disciplines and tools content to support education process. It can be learning of disciplines using cloud technologies or services by future PhD’s. Also, cloud services application to support scientific and scientific-organizational activities will increase level of organization and implementation of scientific research. It is important to create cloud-oriented environment for preparation of future PhDs in higher education and research institutions. Making cloud-oriented educational and scientific environment should be based on principles of open education. It is recommended to use cloud-based platforms and services (G Suite for Education; Microsoft Office 365; specialized SaaS (CoCalc or other)).

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Vladymyrov, Volodymyr. THE PROBABLE PLACE FOR BEING CREATED MASS INFORMATION THEORY BETWEEN OTHER FUNDAMENTAL THEORIES ABOUT IMPACT ON MASS AUDIENCE. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11059.

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The article continues, for the first time in English in domestic science, to study the question of the need to create a new scientific theory – the theory of mass information. For the first time too raises the question of creating, in a place of the current theory of mass communication, a system of sciences including: a) mass information (shpuld be created now in rpoh of mass information), b) the theory of mass understanding (has created as a hermeneutics of the masses), c) the theory of mass communication (has created as a theory of the transfer of content) and the theory of mass emotions (started to create in 2017). This is a paradoxical situation – the absence of fundamental theory of mass information in the epoch of mass information. Researches in the scientific works of foreign mass communication also showed the absence of a holistic theory, as well as attempts to create it, even the lack of decisions on the need to create it as a new scientific field.

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Tkachuk, Viktoriia V., Vadym P. Shchokin, and 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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Wachen, John, and Steven McGee. Qubit by Qubit’s Four-Week Quantum Computing Summer School Evaluation Report for 2021. The Learning Partnership, September 2021. http://dx.doi.org/10.51420/report.2021.4.

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Qubit by Qubit’s Quantum Computing Summer School is a four-week summer course for high school and university students in their first or second year of studies. The aim of the summer school is to introduce the field of Quantum Information Sciences and Engineering (QISE), specifically quantum computing. Through the course, students learn about quantum mechanics, quantum computation and information (quantum gates, circuits, and algorithms and protocols, including Grover’s Algorithm and Quantum Key Distribution), applications of quantum computing, and quantum hardware. Students also learn how to program in Qiskit and basic mathematics for quantum, including matrices and vectors. The Quantum Computing Summer School program enrolled a diverse population of high school and undergraduate students with 48% of participants identifying at female or non-binary, 20% of students identifying as Hispanic, 17% identifying as Black, and 38% identifying as Asian. The program substantially increased participants’ knowledge about quantum computing, as exhibited by large gains on a technical assessment that was administered at the beginning and end of the program. On a survey of student motivation, students in the program showed a statistically significant increase in their expectancy of being successful in quantum computing and valuing quantum computing. From the beginning of the program to the end of the program, there was a statistically significant increase in students’ reported sense of belonging in quantum. Participation in the program increased students’ interest in pursuing additional coursework and careers in STEM generally and in quantum specifically.

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Crooks, Roderic. Toward People’s Community Control of Technology: Race, Access, and Education. Social Science Research Council, January 2022. http://dx.doi.org/10.35650/jt.3015.d.2022.

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This field review explores how the benefits of access to computing for racialized and minoritized communities has become an accepted fact in policy and research, despite decades of evidence that technical fixes do not solve the kinds of complex social problems that disproportionately affect these communities. I use the digital divide framework—a 1990s policy diagnosis that argues that the growth and success of the internet would bifurcate the public into digital “haves” and “have-nots”—as a lens to look at why access to computing frequently appears as a means to achieve economic, political, and social equality for racialized and minoritized communities. First, I present a brief cultural history of computer-assisted instruction to show that widely-held assumptions about the educational utility of computing emerged from utopian narratives about scientific progress and innovation—narratives that also traded on raced and gendered assumptions about users of computers. Next, I use the advent of the digital divide framework and its eventual transformation into digital inequality research to show how those raced and gendered norms about computing and computer users continue to inform research on information and communication technologies (ICTs) used in educational contexts. This is important because the norms implicated in digital divide research are also present in other sites where technology and civic life intersect, including democratic participation, public health, and immigration, among others. I conclude by arguing that naïve or cynical deployments of computing technology can actually harm or exploit the very same racialized and minoritized communities that access is supposed to benefit. In short, access to computing in education—or in any other domain—can only meaningfully contribute to equality when minoritized and racialized communities are allowed to pursue their own collective goals.

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