Academic literature on the topic 'Informational and analytical software'
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Journal articles on the topic "Informational and analytical software"
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Paliy, Serhii. "Current Tendencies of Informational and Analytical Software Development in the Context of Effective Management Decision-Making." Ukrainian Journal on Library and Information Science, no. 10 (December 28, 2022): 166–74. http://dx.doi.org/10.31866/2616-7654.10.2022.269493.
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The aim of the article is to highlight peculiarities and tendencies of informational and analytical systems development that contribute to effective management activity of Ukrainian authorities. The research methodology founds on the application of the systemic method, as well as methods of analysis and synthesis, also logical, systemic-structural, comparative and cognitive analysis, which made it possible to define basic essential characteristics of management activity and determine the directions, principles, forms and methods of improving the effectiveness of management activity thanks to the usage of modern informational and analytical systems. The scientific novelty. Peculiarities of informational and analytical software for Ukrainian state authorities activity at the beginning of the third decade of the 21st cent. have been studied; the main problems have been considered, and the prospects for informational and analytical activity development at the current stage have been determined; the specifics of modern processes of management informatisation with the help of innovative informational and analytical technologies of decision-making software has been analysed. Conclusions. Any management activity is a process of processing information causing the state of the management object, and making decisions causing its preservation and progressive development in time and space under conditions of various restrictions and restraining factors. Only systematised, complex information, just the information that combines various types and data, which are historically and logically related, and which are in a clearly defined order and sequence, can contribute to the improvement of management decisions effectiveness. The compliance with this requirement allows the management subject to constantly review the social object in all its complexity and diversity, as well as adjust its functioning and development in accordance with each specific situation. Informational and analytical systems make a significant contribution to the process of management decision-making. Their implementation has made a positive effect on the methods of decision-making at various levels of state administration, changing the way and speed of providing information to decision-making individuals, providing relevant, timely and accurate information. At the current stage, a number of objective and subjective factors necessitate the following: the development of various strategies of informational and analytical systems in order to meet the organisational needs of state administration structures; the elaboration of strategies for successful integration of new technologies into a certain activity, including appropriate funding and adequate technical support to ensure the necessary flow of information for short-term and long-term planning decisions making; the employees providing with adequate training to ensure effective usage of informational and analytical systems.
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Paliy, Serhii. "Current Tendencies of Informational and Analytical Software Development in the Context of Effective Management Decision-Making." Ukrainian Journal on Library and Information Science, no. 10 (December 28, 2022): 166–74. https://doi.org/10.31866/2616-7654.10.2022.269493.
Full textAbstract:
The aim of the article is to highlight peculiarities and tendencies of informational and analytical systems development that contribute to effective management activity of Ukrainian authorities. The research methodology founds on the application of the systemic method, as well as methods of analysis and synthesis, also logical, systemic-structural, comparative and cognitive analysis, which made it possible to define basic essential characteristics of management activity and determine the directions, principles, forms and methods of improving the effectiveness of management activity thanks to the usage of modern informational and analytical systems. The scientific novelty. Peculiarities of informational and analytical software for Ukrainian state authorities activity at the beginning of the third decade of the 21st cent. have been studied; the main problems have been considered, and the prospects for informational and analytical activity development at the current stage have been determined; the specifics of modern processes of management informatisation with the help of innovative informational and analytical technologies of decision-making software has been analysed. Conclusions. Any management activity is a process of processing information causing the state of the management object, and making decisions causing its preservation and progressive development in time and space under conditions of various restrictions and restraining factors. Only systematised, complex information, just the information that combines various types and data, which are historically and logically related, and which are in a clearly defined order and sequence, can contribute to the improvement of management decisions effectiveness. The compliance with this requirement allows the management subject to constantly review the social object in all its complexity and diversity, as well as adjust its functioning and development in accordance with each specific situation. Informational and analytical systems make a significant contribution to the process of management decision-making. Their implementation has made a positive effect on the methods of decision-making at various levels of state administration, changing the way and speed of providing information to decision-making individuals, providing relevant, timely and accurate information. At the current stage, a number of objective and subjective factors necessitate the following: the development of various strategies of informational and analytical systems in order to meet the organisational needs of state administration structures; the elaboration of strategies for successful integration of new technologies into a certain activity, including appropriate funding and adequate technical support to ensure the necessary flow of information for short-term and long-term planning decisions making; the employees providing with adequate training to ensure effective usage of informational and analytical systems.
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Bibik, N. V., V. O. Yesina, and O. O. Rudachenko. "The Informational-Analytical Principles of Budgeting Management in Amalgamated Hromadas." Business Inform 9, no. 512 (2020): 107–16. http://dx.doi.org/10.32983/2222-4459-2020-9-107-116.
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In connection with the processes of decentralization, the issues related to the formation of amalgamated hromadas (AHs) are gaining more and more attention. A big advantage in the creation of AHs is the transfer of significant powers from the State authorities on budgets to the local self-government. It is proved that the software in the sphere of management accounting and budgeting should include methodologies of implementation of the subsystems of both the budget and the process management, as well as means for projecting regulations of the financial management system. The authors propose the necessary minimum requirements for the software of the budgeting process, which display that due to a powerful and flexible system of formation of analytical reports, there is a significant improvement in the organization of work on the implementation and analysis of the budget. The list and characterization of the software available on the Ukrainian market are presented, which justify that the automation of budgeting through the introduction of an integrated information system is possible and depends only on the understanding of the importance and necessity of this process by the leadership of AH. The process of developing managerial decisions has a number of analytical procedures: analysis of the incoming information used for managerial decision-making; analysis of alternative solutions regarding the options; analysis of the progress of implementation of decision and analysis of deviations of the results obtained from the planned ones. Analytical activity is an integral attribute of the entire management process. According to the results of the research, one can conclude that the increase in the number of managerial tasks facing the leadership of hromada at the same time forms the preconditions for the creation of an informational-analytical system, the data of which will be able to satisfy any requests – both external and internal. Providing the necessary information at the right time on the basis of management accounting and analysis is the essence of the organization of information service of budgeting and management processes, contributes to the achievement of the goals outlined in the strategy for development of hromada.
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Orduña-Malea, Enrique, and Rodrigo Costas. "Link-based approach to study scientific software usage: the case of VOSviewer." Scientometrics 126, no. 9 (2021): 8153–86. http://dx.doi.org/10.1007/s11192-021-04082-y.
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AbstractScientific software is a fundamental player in modern science, participating in all stages of scientific knowledge production. Software occasionally supports the development of trivial tasks, while at other instances it determines procedures, methods, protocols, results, or conclusions related with the scientific work. The growing relevance of scientific software as a research product with value of its own has triggered the development of quantitative science studies of scientific software. The main objective of this study is to illustrate a link-based webometric approach to characterize the online mentions to scientific software across different analytical frameworks. To do this, the bibliometric software VOSviewer is used as a case study. Considering VOSviewer’s official website as a baseline, online mentions to this website were counted in three different analytical frameworks: academic literature via Google Scholar (988 mentioning publications), webpages via Majestic (1,330 mentioning websites), and tweets via Twitter (267 mentioning tweets). Google scholar mentions shows how VOSviewer is used as a research resource, whilst mentions in webpages and tweets show the interest on VOSviewer’s website from an informational and a conversational point of view. Results evidence that URL mentions can be used to gather all sorts of online impacts related to non-traditional research objects, like software, thus expanding the analytical scientometric toolset by incorporating a novel digital dimension.
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Vasenin, Valery, Alexander Itkes, Maxim Krivchikov, and Evgeniya Yavtushenko. "ChRelBAC data access control model for large-scale interactive informational-analytical systems." Journal of Computer Virology and Hacking Techniques 16, no. 4 (2020): 313–31. http://dx.doi.org/10.1007/s11416-020-00365-9.
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Yasa, Ni Nyoman Kerti, I. Gusti Ayu Ketut Giantari, I. Putu Gde Sukaatmadja, et al. "The role of relational and informational capabilities in mediating the effect of social media adoption on business performance in fashion industry." International Journal of Data and Network Science 5, no. 4 (2021): 569–78. http://dx.doi.org/10.5267/j.ijdns.2021.8.011.
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This study aims to explain the role of relational capability and informational capability in mediating the effect of social media adoption on business performance. The population of this study is the owners of the fashion sector SMEs in Bali. The sample size used was 114 businesses with a purposive sampling approach. The analytical technique used is Path Analysis using the SEM-PLS approach. The results show that the adoption of social media has a positive and significant effect on business performance. Social media adoption has a positive and significant effect on relational capability and social media adoption also has a positive and significant effect on informational capability. Furthermore, relational capability has a positive and significant effect on business performance and informational capability has a positive and significant effect on business performance. Relational capability and informational capability can significantly mediate the effect of social media adoption on business performance. Therefore, it is important for SME owners in the fashion sector in Bali to intensify the adoption of social media to build relational and informational capabilities in order to increase business performance.
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Lindseth, R. O. "TRENDS IN DATA ANALYSIS FOR PETROLEUM EXPLORATION AND DEVELOPMENT." APPEA Journal 25, no. 1 (1985): 382. http://dx.doi.org/10.1071/aj84032.
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The computer world is presently locked in a race to produce the futuristic fifth generation computer, one which will simulate some parts of human intelligence. At the back of this is the current interest in expert systems and their adaptation to petroleum exploration and development. Converging hardware and software technologies, combined with industry requirements, show a definite trend to move from the emphasis on hardware and operations systems toward software and informational systems. It is not possible to predict the precise form in which this will impact petroleum industry operations but it is certain that much greater analytical power and control will rest in the hands of the interpreters enabling much higher rates of productivity and effectiveness in the location of hydrocarbon reservoirs.
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Makarova, E. A., K. V. Surzhin, S. S. Morozov, S. V. Muktepavel, and I. N. Spesivtseva. "Informational and analytical support of planning processes of marketing actions in high-speed trains." Vestnik of the Railway Research Institute 77, no. 1 (2018): 3–12. http://dx.doi.org/10.21780/2223-9731-2018-77-1-3-12.
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In modern conditions, the important tasks of the Directorate of High-Speed Communication of the JSC “Russian Railways” are to improve the quality of transport services, maintain stable positions in the transport market, and increase demand. The use of a set of marketing tools in “Sapsan” trains allows maintaining price accessibility of transportation and ensures the construction of long-term mutually beneficial relations with customers. Carrying out activities to stimulate demand requires the analysis of a large amount of statistical data for planning, monitoring and summarizing the marketing activities. For information support of the decision-making process on the basis of the ACS “Express-3”, a set of tasks has been developed that provides the calculation of the characteristics of passenger traffic in the segment of high-speed communication. The new functionality allows the user to receive an analysis of the passenger traffic parameters taking into account the demand parameters (age, sex, citizenship) and the conditions of the trip (class of service, availability of benefits, participation in the promotion). In the process of carrying out analytical work, it is important for the specialists of the passenger complex not only to obtain and examine traffic statistics, but also to determine the impact of marketing actions on the amount of revenue receipts. Software implementation of the relationship construction between the volumes of traffic and revenues from the sale of travel documents was carried out on the basis of the ACS “Express-3”. To determine the annual cycles of growth/decline in revenues, it is ensured that an autocorrelation function is constructed and the development trends are determined by the indicator “revenue receipts”. The functionality created on the basis of ACS “Express” is a flexible system of reports that are formed at the user's request, allowing you to view information on the structure of passenger traffic with varying degrees of detail for compiling programs to stimulate demand and analyze its effectiveness.
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Popov, O., A. Іatsyshyn, V. Kovach, et al. "Conceptual Approaches for Development of Informational and Analytical Expert System for Assessing the NPP impact on the Environment." Nuclear and Radiation Safety, no. 3(79) (August 28, 2018): 56–65. http://dx.doi.org/10.32918/nrs.2018.3(79).09.
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Analysis of informational provision level of complex environmental monitoring system in surveillance zones of Ukrainian NPPs was carried out. It was established that different subsystems are used for solution of monitoring tasks. The systems are separated, heterogeneous, hardware-software incompatible, and aimed at observation and state assessment of specific components of the environment and natural resources. Such situation is not in compliance with the up-to-date European requirements and standards for environmental monitoring information systems in areas of influence of man-made facilities. It is demonstrated that solution of this problem is possible by developing an information and analytical expert system for evaluation of NPP environmental impact on the environment (EcoIES). The main tasks that will be solved by EcoIES and its specific functions during emergencies or corresponding emergency exercises were described. The main requirements for the system are consistency, openness, standardization and adaptation. Specific requirements are the completeness and hierarchy of information, comprehensive integration and rational use, semantic unity, compatibility of system components, integrated security. Three options of conceptual approaches to creation of EcoIES have been developed, each of which is characterized by its structure, level of hardware-software provision and organization of information exchange. The option, which to major extent is in compliance with the European requirements has been substantiated, and which allows to fully solve radiation and environmental safety tasks, as well as civil protection of population, territories and the environment in the surveillance zones of Ukrainian NPPs. Therefore, this approach is recommended for further practical implementation at NPPs in Ukraine. The basic scheme of structural organization and interconnections between the EcoIES and other subjects of environmental monitoring that are part of the State environmental monitoring system has been developed.
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Korableva, Galina, and Elena Kucherova. "A functionally-oriented approach to digitalization of the activities of competence centers in the field of agricultural cooperation." SHS Web of Conferences 141 (2022): 01008. http://dx.doi.org/10.1051/shsconf/202214101008.
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The publication summarizes the experience of digitalization of the activities of the competence center in the field of agricultural cooperation. The concept of digitalization of the competence center in the field of agricultural cooperation has been formulated and practically implemented, including the use of heterogeneous software products, both author’s and third-party developers. Software products and their functions that will automate the main activities of the competence center in the field of agricultural cooperation are considered. The author’s software product developed for informational and analytical support of the activities of the competence center opened at the Moscow State University of Technology and Management named after K. G. Razumovsky, allows you to automate accounting functions and data mining functions. The main functions of the created and implemented software product are accounting of agricultural producers, established cooperatives and their participation in events organized by the competence center and other organizations, accounting of grantees cooperating with the competence center, implementation of cluster data analysis methods to identify potential members of an agricultural cooperative.
Dissertations / Theses on the topic "Informational and analytical software"
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Fotrousi, Farnaz, and Katayoun Izadyan. "Analytics-based Software Product Planning." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5053.
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Context. Successful software product management concerns about developing right software products for right markets at the right time. The product manager, who carries responsibilities of planning, requires but does not always have access to high-quality information for making the best possible planning decisions. The following master thesis concentrates on proposing a solution that supports planning of a software product by means of analytics. Objectives. The aim of the master thesis is to understand potentials of analytics in product planning decisions in a SaaS context. This thesis focuses on SaaS based analytics used for portfolio management, product roadmapping, and release planning and specify how the analytics can be utilized for planning of a software product. Then the study devises an analytics-based method to enable software product planning. Methods. The current study was designed with a mixed methodology approach, which includes the literature review and survey researches as well as case study under the framework of the design science. Literature review was conducted to identify product planning decisions and the measurements that support them. A total of 17 interview based surveys were conducted to investigate the impact of analytics on product planning decisions in product roadmapping context. The result of the interviews ended in an analytics-based planning method provided under the framework of design science. The designed analytics-based method was validated by a case study in order to measure the effectiveness of the solution. Results. The identified product planning decisions were summarized and categorized into a taxonomy of decisions divided by portfolio management, roadmapping, and release planning. The identified SaaS-based measurements were categorized into six categories and made a taxonomy of measurements. The result of the survey illustrated that importance functions of the measurement- categories are not much different for planning-decisions. In the interviews 61.8% of interviewees selected “very important” for “Product”, 58.8% for “Feature”, and 64.7% for “Product healthiness” categories. For “Referral sources” category, 61.8% of responses have valuated as “not important”. Categories of “Technologies and Channels” and “Usage Pattern” have been rated majorly “important” by 47.1% and 32.4% of the corresponding responses. Also the results showed that product use, feature use, users of feature use, response time, product errors, and downtime are the first top measurement- attributes that a product manager prefers to use for product planning. Qualitative results identified “product specification, product maturity and goal” as the effected factors on analytics importance for product planning and in parallel specified strengths and weaknesses of analytical planning from product managers’ perspectives. Analytics-based product planning method was developed with eleven main process steps, using the measurements and measurement scores resulted from the interviews, and finally got validated in a case. The method can support all three assets of product planning (portfolio management, roadmapping, and release planning), however it was validated only for roadmapping decisions in the current study. SaaS-based analytics are enablers for the method, but there might be some other analytics that can assist to take planning decisions as well. Conclusion. The results of the interviews on the roadmapping decisions indicated that different planning decisions consider similar importance for measurement-categories to plan a software product. Statistics about feature use, product use, response time, users, error and downtime have been recognized as the most important measurements for planning. Analytics increase knowledge about product usability and functionality, and also can assist to improve problem handling and client-side technologies. But it has limitations regarding to receiving formed-based customer feedback, handling development technologies and also interpreting some measurements in practice. Immature products are not able to use analytics. To create, remove, or enhance a feature, the data trend provides a wide view of feature desirability in the current or even future time and clarifies how these changes can impact decision making. Prioritizing features can be performed for the features in the same context by comparing their measurement impacts. The analytics-based method covers both reactive and proactive planning.
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Štacha, Jan. "Analýza a návrh informačního systému elektronického vzdělávání." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-236840.
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This thesis is focused on IBM Rational Unified Process methodology, which represents complex and robust aproach to software development and software lifecycle. This methodology is well described and every step of software lifecycle is predictible. Thats the reason why is becoming used in many software development organizations. The main goal of this thesis is deep description of this methodology and creation common outputs of inception and elaboration phase of e-learning information system. IBM Rational Unified Process is called use-case driven aproach, thats the reason why is emphasized descripton of all use-cases.
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Kallergis, Georgios. "Business Software Engineering Processes : An Analytics Case Study." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207138.
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Using Information Technology (IT) solutions to automate business processes has been the norm for many organizations in recent years. Despite the great benefits an enterprise can reap from adopting such solutions, developing ones own IT solution is not as easy as it might seem. If we take into account the ever increasing complexity of modern businesses and their operating environment as well as the fast pace with which the modern world is changing, development and maintenance of such systems can easily become a daunting task. Many software development processes have been proposed over the years aiming at increasing software projects’ success rates in terms of budget, time and requirements satisfaction. In this project (code named Helium), we propose a simple software development process customised specifically for Customer Value (CV) and we apply this process to develop a novel distributed IT system that automates the main business processes of the company. Our main goal is to reduce the operational costs of Customer Value (CV) and increase its capacity and provided Quality of Service (QoS). The ”start-up” nature of the company is taken under consideration, since it introduces a considerable amount of uncertainty, as well as the fact that the initial set of projects in their project road-map are going to be thesis projects carried out by students and not experienced professionals. The proposed distributed architecture aims at providing maintenance, expansion, performance and scalability benefits. A basic set of measurements, carried out on the implemented system, validate the correctness of our approach with respect to performance and a set of interviews carried out with senior developers and managers validate the importance of the benefits of the process and architecture from a business standpoint.
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Rodríguez, Martínez Cecilia. "Software quality studies using analytical metric analysis." Thesis, KTH, Kommunikationssystem, CoS, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120325.
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Today engineering companies expend a large amount of resources on the detection and correction of the bugs (defects) in their software. These bugs are usually due to errors and mistakes made by programmers while writing the code or writing the specifications. No tool is able to detect all of these bugs. Some of these bugs remain undetected despite testing of the code. For these reasons, many researchers have tried to find indicators in the software’s source codes that can be used to predict the presence of bugs. Every bug in the source code is a potentially failure of the program to perform as expected. Therefore, programs are tested with many different cases in an attempt to cover all the possible paths through the program to detect all of these bugs. Early prediction of bugs informs the programmers about the location of the bugs in the code. Thus, programmers can more carefully test the more error prone files, and thus save a lot of time by not testing error free files. This thesis project created a tool that is able to predict error prone source code written in C++. In order to achieve this, we have utilized one predictor which has been extremely well studied: software metrics. Many studies have demonstrated that there is a relationship between software metrics and the presence of bugs. In this project a Neuro-Fuzzy hybrid model based on Fuzzy c-means and Radial Basis Neural Network has been used. The efficiency of the model has been tested in a software project at Ericsson. Testing of this model proved that the program does not achieve high accuracy due to the lack of independent samples in the data set. However, experiments did show that classification models provide better predictions than regression models. The thesis concluded by suggesting future work that could improve the performance of this program.<br>Idag spenderar ingenjörsföretag en stor mängd resurser på att upptäcka och korrigera buggar (fel) i sin mjukvara. Det är oftast programmerare som inför dessa buggar på grund av fel och misstag som uppkommer när de skriver koden eller specifikationerna. Inget verktyg kan detektera alla dessa buggar. Några av buggarna förblir oupptäckta trots testning av koden. Av dessa skäl har många forskare försökt hitta indikatorer i programvarans källkod som kan användas för att förutsäga förekomsten av buggar. Varje fel i källkoden är ett potentiellt misslyckande som gör att applikationen inte fungerar som förväntat. För att hitta buggarna testas koden med många olika testfall för att försöka täcka alla möjliga kombinationer och fall. Förutsägelse av buggar informerar programmerarna om var i koden buggarna finns. Således kan programmerarna mer noggrant testa felbenägna filer och därmed spara mycket tid genom att inte behöva testa felfria filer. Detta examensarbete har skapat ett verktyg som kan förutsäga felbenägen källkod skriven i C ++. För att uppnå detta har vi utnyttjat en välkänd metod som heter Software Metrics. Många studier har visat att det finns ett samband mellan Software Metrics och förekomsten av buggar. I detta projekt har en Neuro-Fuzzy hybridmodell baserad på Fuzzy c-means och Radial Basis Neural Network använts. Effektiviteten av modellen har testats i ett mjukvaruprojekt på Ericsson. Testning av denna modell visade att programmet inte Uppnå hög noggrannhet på grund av bristen av oberoende urval i datauppsättningen. Men gjordt experiment visade att klassificering modeller ger bättre förutsägelser än regressionsmodeller. Exjobbet avslutade genom att föreslå framtida arbetet som skulle kunna förbättra detta program.<br>Actualmente las empresas de ingeniería derivan una gran cantidad de recursos a la detección y corrección de errores en sus códigos software. Estos errores se deben generalmente a los errores cometidos por los desarrolladores cuando escriben el código o sus especificaciones. No hay ninguna herramienta capaz de detectar todos estos errores y algunos de ellos pasan desapercibidos tras el proceso de pruebas. Por esta razón, numerosas investigaciones han intentado encontrar indicadores en los códigos fuente del software que puedan ser utilizados para detectar la presencia de errores. Cada error en un código fuente es un error potencial en el funcionamiento del programa, por ello los programas son sometidos a exhaustivas pruebas que cubren (o intentan cubrir) todos los posibles caminos del programa para detectar todos sus errores. La temprana localización de errores informa a los programadores dedicados a la realización de estas pruebas sobre la ubicación de estos errores en el código. Así, los programadores pueden probar con más cuidado los archivos más propensos a tener errores dejando a un lado los archivos libres de error. En este proyecto se ha creado una herramienta capaz de predecir código software propenso a errores escrito en C++. Para ello, en este proyecto se ha utilizado un indicador que ha sido cuidadosamente estudiado y ha demostrado su relación con la presencia de errores: las métricas del software. En este proyecto un modelo híbrido neuro-disfuso basado en Fuzzy c-means y en redes neuronales de función de base radial ha sido utilizado. La eficacia de este modelo ha sido probada en un proyecto software de Ericsson. Como resultado se ha comprobado que el modelo no alcanza una alta precisión debido a la falta de muestras independientes en el conjunto de datos y los experimentos han mostrado que los modelos de clasificación proporcionan mejores predicciones que los modelos de regresión. El proyecto concluye sugiriendo trabajo que mejoraría el funcionamiento del programa en el futuro.
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Breda, Lorenzo <1995>. "Business Analytics for the Energy Management Information System software provider: a case study." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19310.
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L'analisi dei dati aziendali comprende una serie di concetti e metodi per individuare pattern nascosti nei
dati operativi aziendali. Sebbene siano disponibili diverse soluzioni di questo tipo, il successo dell’analisi
risiede nella comprensione del contesto aziendale e nella definizione degli obiettivi.
Questa tesi presenta lo sviluppo di una struttura analitica concettuale per fare Business Analytics,
all’interno di una compagnia fornitrice di sistemi di gestione e informazione dell’energia (EMIS). I risultati
dell’analisi vengo poi illustrati.
I sistemi EMIS sono strumenti per monitorare il consumo di energia utilizzato nei programmi di gestione ed
efficienza energetica.
Negli ultimi anni, tali programmi hanno acquisito rilevanza in organizzazioni che operano in diversi settori
economici. Inoltre, si sta consolidando il settore delle attività specialistiche di gestione e consulenza
energetica.
All'interno di un quadro di mercato così complesso, è proficuo per il provider EMIS rintracciare le fonti di
crescita. Pertanto, lo studio dei consumatori e delle vendite con l’obiettivo di identificare le direttrici della
crescita posso rivelare informazioni rilevanti, che permettono alla compagnia di capire il proprio
posizionamento.
La prima fase della ricerca si concentra sull’identificazione delle caratteristiche chiave legate alle unità di
vendita con lo scopo di sviluppare una struttura concettuale con quale poter estrarre informazioni dai dati.
La seconda fase comprende l’organizzazione e lo svolgimento dell’analisi. I risultati presentati consistono
nelle informazioni visualizzate attraverso dei grafici.
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Kumar, Hemant, University of Western Sydney, and of Science Technology and Environment College. "Software analytical tool for assessing cardiac blood flow parameters." THESIS_FSTA_XXX_Kumar_H.xml, 2001. http://handle.uws.edu.au:8081/1959.7/392.
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Introduction of Doppler ultrasound techniques into the Intensive Care setting has revolutionised the way haemodynamic status is monitored in the critically ill. However, in order to increase the usefulness of these techniques, the Doppler signal and its spectrum need to be further analysed in ways to facilitate a better clinical response. Extensive processing of the Doppler spectrum on Diagnostic ultrasound machines is limited by the real time performance considerations. It was therefore proposed that the spectral information from these systems be extracted off-line and full set of analytical tools be made available to evaluate this information. This was achieved by creating an integrated and modular software tool called Spectron, which was intended as an aid in the overall management of the patients. The modular nature of Spectron was intended to ensure that new analytical tools and techniques could be easily added and tested. The software provides its users with considerable latitude in choosing various data acquisition and analysis parameters to suit various clinical situations and patient requirements. Spectron was developed under the Windows environment to provide a user friendly interface and to address a range of programming problems such as memory management and the size of the colour palettes. Spectron is able to detect the maximal velocities and compute the mean and median velocities. Relative increases in maximal velocities in cardiac blood flows after the administration of inotropic drugs have been shown in the pilot studies that were conducted. Spectron is able to help in obtaining estimates of the aortic blood flows and in other applications such measuring vascular impedance. Stenotic blood flows can be detected by using the spectral broadening index and blood flow characteristics can be studied by using various blood flow indices. Thus, this project attempted to help in patient management by providing clinicians with a range of blood flow parameters and has succeeded in meeting its objective to a large extent<br>Master of Engineering (Hons)
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Kumar, Hemant. "Software analytical tool for assessing cardiac blood flow parameters." Thesis, View thesis, 2001. http://handle.uws.edu.au:8081/1959.7/392.
Full textAbstract:
Introduction of Doppler ultrasound techniques into the Intensive Care setting has revolutionised the way haemodynamic status is monitored in the critically ill. However, in order to increase the usefulness of these techniques, the Doppler signal and its spectrum need to be further analysed in ways to facilitate a better clinical response. Extensive processing of the Doppler spectrum on Diagnostic ultrasound machines is limited by the real time performance considerations. It was therefore proposed that the spectral information from these systems be extracted off-line and full set of analytical tools be made available to evaluate this information. This was achieved by creating an integrated and modular software tool called Spectron, which was intended as an aid in the overall management of the patients. The modular nature of Spectron was intended to ensure that new analytical tools and techniques could be easily added and tested. The software provides its users with considerable latitude in choosing various data acquisition and analysis parameters to suit various clinical situations and patient requirements. Spectron was developed under the Windows environment to provide a user friendly interface and to address a range of programming problems such as memory management and the size of the colour palettes. Spectron is able to detect the maximal velocities and compute the mean and median velocities. Relative increases in maximal velocities in cardiac blood flows after the administration of inotropic drugs have been shown in the pilot studies that were conducted. Spectron is able to help in obtaining estimates of the aortic blood flows and in other applications such measuring vascular impedance. Stenotic blood flows can be detected by using the spectral broadening index and blood flow characteristics can be studied by using various blood flow indices. Thus, this project attempted to help in patient management by providing clinicians with a range of blood flow parameters and has succeeded in meeting its objective to a large extent
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Kumar, Hemant. "Software analytical tool for assessing cardiac blood flow parameters /." View thesis, 2001. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030724.122149/index.html.
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Bathla, Rajender, and Anil Kapil. "Analytical Scenario of Software Testing Using Simplistic Cost Model." IJCSN, 2012. http://hdl.handle.net/10150/219531.
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Software testing is the process of executing a program with
the intention of finding errors in the code. It is the process
of exercising or evaluating a system or system component
by manual automatic means to verify that it satisfies
specified requirements or to identify differences between
expected and actual results [4]. Software Testing should not
be a distinct phase in System development but should be
applicable throughout the design development and
maintenance phases. ‘Software Testing is often used in
association with terms verification & validation ‘Software
testing is the process of executing software in a controlled
manner, in order to answer the question: Does the software
behave as specified. One way to ensure system‘s
responsibility is to extensively test the system. Since
software is a system component it requires a testing process
also.<br>Software can be tested either manually or automatically.
The two approaches are complementary: automated testing
can perform a huge number of tests in short time or period,
whereas manual testing uses the knowledge of the testing
engineer to target testing to the parts of the system that are
assumed to be more error-prone. Despite this contemporary,
tools for manual and automatic testing are usually different,
leading to decreased productivity and reliability of the
testing process. Auto Test is a testing tool that provides a
“best of both worlds” strategy: it integrates developers’ test
cases into an automated process of systematic contractdriven
testing.
This allows it to combine the benefits of both approaches
while keeping a simple interface, and to treat the two types
of tests in a unified fashion: evaluation of results is the
same, coverage measures are added up, and both types of
tests can be saved in the same format. The objective of this
paper is to discuss the Importance of Automation tool with
associate to software testing techniques in software
engineering. In this paper we provide introduction of
software testing and describe the CASE tools. The solution
of this problem leads to the new approach of software
development known as software testing in the IT world.
Software Test Automation is the process of automating the
steps of manual test cases using an automation tool or utility
to shorten the testing life cycle with respect to time.
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D’Avila, Leandro Ferreira. "SW-Context : um modelo para software analytics baseado em sensibilidade ao contexto." Universidade do Vale do Rio dos Sinos, 2017. http://www.repositorio.jesuita.org.br/handle/UNISINOS/6285.
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Previous issue date: 2017-02-22<br>CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>PROSUP - Programa de Suporte à Pós-Gradução de Instituições de Ensino Particulares<br>Diariamente, desenvolvedores de software precisam se envolver com atividades de manutenção para adaptar aplicações existentes a novos cenários e necessidades, como por exemplo, novas funcionalidades, correções de defeitos e requerimentos legais. Entretanto, algumas questões organizacionais podem interferir nas atividades dos desenvolvedores impactando na qualidade e manutenabilidade do software produzido. Grande volume de documentação obsoleta, dificuldades na utilização desta documentação, dependências entre módulos de software e especialistas que deixam as empresas levando o conhecimento de determinados módulos e/ou sistemas são fatores determinantes para o sucesso dos projetos. Uma das formas de mitigar o impacto destas questões seria a disponibilização de informações úteis referentes aos módulos ou artefatos de software de forma qualitativa. A disponibilização destas informações propicia um melhor entendimento do desenvolvedor em relação aos aspectos que cercam o software e o seu ambiente. De acordo com a natureza das informações disponibilizadas, os desenvolvedores podem adquirir informações relevantes sobre o softwareem questão. Essa dissertação apresenta o SW-Context, um modelo que permite a combinação de diferentes informações relacionadas a artefatos de software, a fim de aprimorar a consciência situacional dos desenvolvedores nas atividades de desenvolvimento e manutenção. Desta forma, os principais desafios do modelo são: a definição de quais informações devem compor o contexto para software, o armazenamento estruturado destas informações em históricos de contextos e, finalmente, a análise e disponibilização destas informações de contexto, de forma que possam auxiliar a atividade de desenvolvimento e manutenção de software, utilizando o conceito SoftwareAnalytics. Foi implementado um protótipo contendo os principais conceitos do modelo proposto. Este protótipo utilizou as informações contextuais de aplicações reais de uma empresa de desenvolvimento de software e foi avaliado através de um estudo de caso, onde 12 desenvolvedores o utilizaram pelo período de um mês em suas atividades diárias. Ao final deste período, os desenvolvedores responderam um questionário que abordou a utilidade da ferramenta e a facilidade de uso percebida. A avaliação do modelo obteve respostas com percentuais satisfatórios tanto em relação à facilidade de uso percebida quanto à utilidade do sistema. Pode-se avaliar que a consolidação das informações contextuais em um local único e a disponibilização qualitativa das informações correlacionadas, através de dashboard, atingiu o objetivo de melhorar a consciência situacional dos desenvolvedores nas atividades de manutenção.<br>Developers need to deal recurrently with the maintenance activities on existing applications in order to adapt them to new scenarios and needs, for example, new features, bug fixing and legal changes. Besides that, developers often deal with organization factors with a potential impact on the success or failure of software development projects. Some of these organization factors are: large amount of old poorly documented software, many interdependencies between software modules and expert developers who left the company. A way to mitigate the impact of these factors on software correctness and maintainability can be providing useful information regarding the context of code or application under development using the analytics approach. The availability of this information provides a better understanding of the developer in relation to issues surrounding the software and its environment. SW-Context aims to allow a combination of different information related to software artifacts in order to improve the situational awareness of developers on development and maintenance activities. On this way, the main challenges of the model are: a definition of what information must compose software context, structured storage of the contextual information and, finally, the analysis and availability of this context information in a way to help the development
and maintenance activities, using the Software Analytics concept. A prototype was implemented containing the main concepts of the proposed model. This prototype was prepared with the contextual information of actual applications under development by a software company and the prototype was evaluated through a case study, where 12
developers used it in their daily activities. By the end of this period, the developers responded a questionnaire, in which the usefulness and the ease of use were measured. The evaluation of the model obtained answers with percentage well placed both in relation to the ease of use as to the usefulness of the system. It can be considered that the consolidation of the contextual information in a single location and the availability of this correlated information in a graphical way, through a dashboard, reached the objective of improving the situational awareness of software developers in maintenance activities.
Books on the topic "Informational and analytical software"
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Gulledge, Thomas R. Analytical Methods in Software Engineering Economics. Springer Berlin Heidelberg, 1993.
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Krishnamoorthy, C. S. Computer aided design: Software and analytical tools. Narosa Pub. House, 1991.
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Krishnamoorthy, C. S. Computer aided design: Software and analytical tools. Springer-Verlag, 1992.
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McGuff, Francis. Developing analytical database applications. Prentice Hall PTR, 1999.
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Decker, Rick. The analytical engine: An introduction to computer science using ToolBook. Wadsworth Pub. Co., 1992.
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Stuart, Hirshfield, ed. The analytical engine: An introduction to computer science using Hypercard. Wadsworth, 1990.
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Stuart, Hirshfield, ed. The analytical engine: An introduction to computer science using ToolBook. PWS Pub. Co., 1994.
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Decker, Rick. The analytical engine: An introduction to computer science using the Internet. 2nd ed. Thomson/Wadsworth, 2004.
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Decker, Rick. The analytical engine: An introduction to computer science using the Internet. PWS Pub., 1998.
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Stuart, Hirshfield, ed. The analytical engine: An introduction to computer science using Hypercard 2.1. 2nd ed. PWS Pub., 1994.
Find full textBook chapters on the topic "Informational and analytical software"
1
Sudakov, Vladimir A., and Tatiana V. Sivakova. "Framework of a Platform for Information and Analytical Support of Educational and Methodological Work." In Software Engineering Perspectives in Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09070-7_42.
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Bygstad, Bendik, and Bjørn Erik Munkvold. "Software Engineering and is Implementation Research: An Analytical Assessment of Current SE Frameworks as Implementation Strategies." In Information Systems Development. Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0167-1_21.
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Al Nawaiseh, Asmaa Jameel. "Evaluating Software Quality in E-Learning System by Using the Analytical Hierarchy Process (AHP) Approach." In The Effect of Information Technology on Business and Marketing Intelligence Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-12382-5_20.
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Luczfalvy Jancsó, Andrea, Benoît Jonlet, Patrick Hoffsummer, Emmanuel Delye, and Roland Billen. "An Analytical Framework for Classifying Software Tools and Systems Dealing with Cultural Heritage Spatio-Temporal Information." In Lecture Notes in Geoinformation and Cartography. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63946-8_50.
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Ozenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Trading and Technology: An Information Systems Course Application." In Classroom Companion: Business. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_4.
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AbstractFinancial markets today are highly computerized -- from software-driven order submission to price determination to straight-through clearing and settlement -- computer technology has displaced manual activities and streamlined functions throughout the trading value chain. The previous chapters examined microeconomic principles that underpin trading and price-setting, and finance theory that provides analytical frameworks for market outcomes. Our analysis introduces real market frictions and examines how transactions costs and heterogeneity among market participants makes market structure and tracing mechanism design crucial determinants of market outcomes and behavior. . In this chapter, we drill down further into the realities of a non-frictionless market in order to focus on how technology can enhance the efficiency of an actual marketplace. Challenging market design issues are encountered when developing and operating an actual trading facility, and as IT professionals know, the devil is in the details. The practical considerations in operating a market system successfully are the next topic this book addresses.
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Mathews, Ky L., and José Crossa. "Experimental Design for Plant Improvement." In Wheat Improvement. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90673-3_13.
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AbstractSound experimental design underpins successful plant improvement research. Robust experimental designs respect fundamental principles including replication, randomization and blocking, and avoid bias and pseudo-replication. Classical experimental designs seek to mitigate the effects of spatial variability with resolvable block plot structures. Recent developments in experimental design theory and software enable optimal model-based designs tailored to the experimental purpose. Optimal model-based designs anticipate the analytical model and incorporate information previously used only in the analysis. New technologies, such as genomics, rapid cycle breeding and high-throughput phenotyping, require flexible designs solutions which optimize resources whilst upholding fundamental design principles. This chapter describes experimental design principles in the context of classical designs and introduces the burgeoning field of model-based design in the context of plant improvement science.
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Fotrousi, Farnaz, and Samuel A. Fricker. "Software Analytics for Planning Product Evolution." In Lecture Notes in Business Information Processing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40515-5_2.
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Wagner, Stefan. "Optimising Analytical Software Quality Assurance." In Software Quality: Quality Intelligence in Software and Systems Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35510-4_9.
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Kasik, David J. "Acquiring Information from Diverse Industrial Processes Using Visual Analytics." In Product-Focused Software Process Improvement. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21843-9_2.
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Kriksciuniene, Dalia, Virgilijus Sakalauskas, Ivana Ognjanović, and Ramo Šendelj. "Discovering Healthcare Data Patterns by Artificial Intelligence Methods." In Intelligent Systems for Sustainable Person-Centered Healthcare. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-79353-1_10.
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AbstractThe variety of the artificial intelligence and machine learning methods are applied for data analysis in various areas, including the data-rich healthcare domain. However, aiming to improve health care efficiency and use the captured information to improve treatment methods is often hampered by poor quality of medical data collections, as high percent of health data are unstructured and preserved in different systems and formats. In addition, it is not always agreed which methods of artificial intelligence and machine learning perform better in different problem areas, and which computer tools could make their application more convenient and flexible. The chapter provides essential characteristics of methods, traditionally applied in statistics, such as regression analysis, as well as their advanced modifications of logit, probit models, K-means, and Neural networks. The performance of the methods, their analytical power and relevance to the healthcare application domain is illustrated by brief experimental computations for investigation of stroke patient database with the help of several readily available software tools, such as MS Excel, Statistica, Matlab, Google BigQuery ML.
Conference papers on the topic "Informational and analytical software"
1
Isaev, Dmitry. "Information support of corporate governance and strategic management using analytical software." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658550.
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Dasanayake, D. W. M. N. C., T. C. Sandanayake, and S. M. U. Premasiri. "Game-based Analytical Skills Testing for Graduate Software Engineering Recruitment." In 2023 8th International Conference on Information Technology Research (ICITR). IEEE, 2023. http://dx.doi.org/10.1109/icitr61062.2023.10382913.
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Naufal Maulana, Moh Zulfiqar, and Daniel Siahaan. "Use Case-Based Analytical Hierarchy Process Method for Software Requirements Prioritization." In 2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2022. http://dx.doi.org/10.1109/icitisee57756.2022.10057944.
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Syed-Mohamad, Sharifah Mashita, Mohd Heikal Husin, and Wan Mohd Nazmee Wan Zainon. "Visualizing Test-Defect Coverage Information to Support Analytical Reasoning and Testing." In ICSCA '19: 2019 8th International Conference on Software and Computer Applications. ACM, 2019. http://dx.doi.org/10.1145/3316615.3316666.
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Xia, Jingtao, Qunshu Wang, Jiming Ma, et al. "Development and application of analytical simulation software platform for parallel beam CT." In Sixth International Conference on Electronics and Information Engineering, edited by Qiang Zhang. SPIE, 2015. http://dx.doi.org/10.1117/12.2203435.
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Shatnawi, lMohd Taib', and Omar Shatnawi. "An Integrated Analytical Approach to Mathematical Modelling the Stochastic Behaviour of Software Debugging Phenomenon." In 2021 International Conference on Information Technology (ICIT). IEEE, 2021. http://dx.doi.org/10.1109/icit52682.2021.9491753.
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Bobotsaris, Ilias, Ioannis Koulouras, Spiridoula V. Margariti, Eleftherios Stergiou, and Chrysostomos Stylios. "Analytical Approach to Evaluating the Performance of the OpenFlow Protocol on Software Defined Networks." In 2023 International Conference on Information Technologies (InfoTech). IEEE, 2023. http://dx.doi.org/10.1109/infotech58664.2023.10266876.
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Kiselev, I. "Foreign software on Russian archival soil: two projects." In Historical research in the context of data science: Information resources, analytical methods and digital technologies. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1839.978-5-317-06529-4/395-400.
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The article is devoted to two international projects with the participation of Russian archives, in which foreign software was used. The first project is the Russian-American project for entering fond descriptions of four Russian archives (GARF, RtSHIDNI, GATO, TtSDNI) into the RLIN database. The second project is the Computerization of the Comintern Archive. The characteristics of software, goals and results of the projects are considered.
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Wang, Fenglin, and Chris K. Mechefske. "Analytical Modeling of Vibration in MRI Scanners." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34350.
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The dynamic behavior of a coil cylinder plays a crucial role in determining the vibro-acoustic characterization of a magnetic resonance imaging (MRI) scanner. An analytical model of a non thin-walled gradient coil cylinder is developed under its working fixation boundary condition. Analytical mode shapes and their numerical and experimental counterparts are obtained and compared by using the modified Love’s governing equations, ANSYS software, and modal testing approaches. The modal testing results validate the analytical modeling. In-situ vibration testing of using a remote laser Vibrometer - PSV 300 further verifies the analytical modal results.
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Hahaianu, Florentina, and Teodora Dobre. "THE USE OF TECHNOLOGY IN REDUCING COGNITIVE BIASES. STUDY CASE: INTELLIGENCE ANALYSIS." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-008.
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The fast-paced technological advancements have generated instruments that changed the process of accessing information, allowing individuals to have almost instant access to worldwide data. Thus, in the informational era, characterized by an overflow of information, the main challenge is no longer obtaining data, but identifying relevant pieces of information and linking them with predefined knowledge. In this context, the present paper addresses the problem of inherent thinking errors that individuals make in processing information. There are two different dimensions which need to be addressed in regard to this topic: understanding the fundamental concepts and identifying efficient technological instruments for reducing subjectivity, as a precondition for competitiveness. Using the experiment as a scientific research method, the article narrows the narrative and focuses on the need for reducing cognitive biases in intelligence analysis, by using technology-based analytical tools. The option for focusing on intelligence analysis within the study case is sustained by the specificity of the activity itself. Defined as “knowledge and foreknowledge of the world around us”, intelligence seeks to achieve a deeper comprehension of the interactions existent within the society and to provide the decision-making body with relevant, opportune and most important, objective information needed in the decision making process. The objectivity exigence becomes primordial due to the fact that good governmental decisions rely on accurate and unbiased information about potential national security threats and vulnerabilities. The experiment conducted emphasizes the degree in which the use of specific analytical software can reduce the degree of subjectivity in intelligence analysis
Reports on the topic "Informational and analytical software"
1
Reis, Evan. Seismic Performance of Single-Family Wood-Frame Houses: Comparing Analytical and Industry Catastrophe Models (PEER-CEA Project). Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2020. http://dx.doi.org/10.55461/qmbu3779.
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This report is one of a series of reports documenting the methods and findings of a multi-year, multi-disciplinary project coordinated by the Pacific Earthquake Engineering Research Center (PEER and funded by the California Earthquake Authority (CEA). The overall project is titled “Quantifying the Performance of Retrofit of Cripple Walls and Sill Anchorage in Single-Family Wood-Frame Buildings,” henceforth referred to as the “PEER–CEA Project.” The overall objective of the PEER–CEA Project is to provide scientifically based information (e.g., testing, analysis, and resulting loss models) that measure and assess the effectiveness of seismic retrofit to reduce the risk of damage and associated losses (repair costs) of wood-frame houses with cripple wall and sill anchorage deficiencies as well as retrofitted conditions that address those deficiencies. Tasks that support and inform the loss-modeling effort are: (1) collecting and summarizing existing information and results of previous research on the performance of wood-frame houses; (2) identifying construction features to characterize alternative variants of wood-frame houses; (3) characterizing earthquake hazard and ground motions at representative sites in California; (4) developing cyclic loading protocols and conducting laboratory tests of cripple wall panels, wood-frame wall subassemblies, and sill anchorages to measure and document their response (strength and stiffness) under cyclic loading; and (5) the computer modeling, simulations, and the development of loss models as informed by a workshop with claims adjustors. This report is a product of Working Group (WG) 6: Catastrophe Modeler Comparisons and focuses on comparing damage functions developed by the PEER–CEA Project with those currently contained in modeling software developed by the three largest insurance catastrophe modelers: RMS, CoreLogic and AIR Worldwide. A semi-blind study was conducted in collaboration with the modeling companies to compare damage estimates for a selection of the Index Buildings developed in the PEER–CEA Project Study. The WG6 Project Team conducted several meetings with these modeling companies to gather feedback on the structure of and assumptions made by the PEER–CEA Project. The comparative results are evaluated and presented herein.
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Garton, Byron. Analytical model software integration methods. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33516.
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Shileall, Timothy J., John M. Bolchoz, and Rachel Griffin. Analytical Derivation of Software Failure Regions. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada244021.
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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4439.
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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information system for investment analysis are presented and given: input information, information processing system, output information, which creates a closed cycle (system) of direct and feedback interaction. The information processing system is represented by accounting and analytical data management blocks. The investment analysis chatbot will help masters of the specialty system analysis to manage the investment process efficiently based on making the right decisions, understanding investment analysis in the extensive structure of financial management and optimizing risks in these systems using a working mobile application. Also, the chatbot will allow you to systematically assess the disadvantages and advantages of investment projects or the direction of activity of a system analyst, while increasing interest in performing practical tasks. A set of software for developing a chatbot integrated into training is installed: Kotlin programming, a library for network interaction Retrofit, receiving and transmitting data, linking processes using the HTTP API. Based on the results of the study, it is noted that the impact of integrating a chatbot into the training of Masters ensures the development of their professional activities, which gives them the opportunity to be competent specialists and contributes to the organization of high-quality training.
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Kalinina, Lyudmila, ed. Mykolaiv education is a space of success: Informational and analytical review based on the results of the 2020/2021 academic year. The Institute of Pedagogy of the National Academy of Pedagogical Sciences of Ukraine, 2021. https://doi.org/10.32405/mykolaiv-education-2021-167.
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Kalinina, Lyudmila. Education of Mykolaiv: Informational and analytical review based on the results of the 2019/2020 academic year. The Institute of Pedagogy of the National Academy of Pedagogical Sciences of Ukraine, 2020. https://doi.org/10.32405/mykolaiv-education-2020-108.
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The information and analytical review "Education of Mykolaiv - 2020" analyzes the activities of the Department of Education of the Mykolaiv City Council, the Scientific and Methodological Center for the Management of Education of the Mykolaiv City Council, and the city's educational institutions in the 2019/2020 academic year
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Kalinina, Lyudmila, ed. Education of Mykolaiv: Informational and analytical review based on the results of the 2018/2019 academic year. Institute of Pedagogy of the National Academy of Sciences of Ukraine, 2019. https://doi.org/10.32405/mykolaiv-education-2019-109.
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The information and analytical review "Education of Mykolaiv - 2019" analyzes the activities of the education department of the Mykolaiv City Council, the scientific and methodological center of the education management of the Mykolaiv City Council, and the city's educational institutions in 2018/2019 academic year
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Waters, Donald. Meeting the Climate Emergency: University Information Infrastructure for Researching Wicked Problems. Coalition for Networked Information, 2025. https://doi.org/10.56561/lcoa2799.
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Commissioned by the Coalition for Networked Information, this report examines the role of research universities in addressing complex societal challenges. It focuses on climate change, which is best characterized as a “wicked” problem. Such problems are difficult to define and lack clear solutions in part because they involve multiple stakeholders who sometimes have sharply differing interests and perspectives. Given this complexity, understanding climate change is not just a matter for researchers in the STEM fields of science, technology, engineering, and medicine. It requires an all-hands-on-deck approach across the disciplinary spectrum, including experts from the social sciences and humanities. It also requires deep engagement of researchers with the public. With their faculties in a wide array of disciplines, their capacity for large-scale research, and their sensitivity to the public interest, research universities in the United States are especially well-positioned to address wicked problems like climate change. However, to be most effective, they need to rebalance their emphasis on the STEM fields and make other key structural reforms. This report argues that university libraries, campus computing organizations, and other information specialists must be part of such reforms. Indeed, with a strategic redeployment of their resources within the university’s research and information infrastructure, they could help catalyze these much needed changes. Any transformation in how universities approach wicked problems like climate change must include a recognition that over the last three decades campus information specialists have dramatically shifted the primary nature of their services. From traditional roles of collection building and the provision of equipment, software, and bandwidth, these experts now have a much broader set of skills, which they regularly apply to help faculty gather and use whatever physical and digital materials they need for research and learning as they need them. For wicked problem research, this report proposes that university libraries and related information resource organizations should now modify their research service strategies even further. They should focus more attention on standard, university-supported centers and institutes that conduct interdisciplinary research on climate change. They should then aim to: (a) broaden the disciplinary range, (b) deepen the public engagement, and (c) extend the analytical capabilities of those research centers and institutes. Overall, this report underscores the urgency and complexity of climate change and other wicked problems that impede human flourishing and offers concrete steps by which universities could adapt their research infrastructure to address these problems more effectively.
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Uchitel, Aleksandr D., Ilona V. Batsurovska, Nataliia A. Dotsenko, Olena A. Gorbenko, and Nataliia I. Kim. Implementation of future agricultural engineers' training technology in the informational and educational environment. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4440.
Full textAbstract:
The article presents the implementation of future agricultural engineers’ training technology in the informational and educational environment. To train future agricultural engineers, it is advisable to form tutorials for the study of each discipline in the conditions of informational and educational environment. Such tutorials are an assistance in mastering both theoretical material and course navigation, where interactive electronic learning tools are presented to perform tasks in the informational and educational environment. Higher education applicants perform such tasks directly in the classroom with the help of gadgets or personal computers. The final grade is formed from the scores obtained in the classroom and the rating of higher education applicants while studying in the informational and educational environment. The outlined approach is able to help in the quality of learning content. The use of interactive audiovisual online tools allows to get acquainted with the theoretical, practical and experimental provisions clearly, it is important for the training of future agricultural engineers. At the end of the experiment, it can be argued that the developed technology increases the level of motivation and self-incentive to work in the informational and educational environment. The application of the presented technology provides an opportunity to combine the educational process in the classroom with learning in the informational and educational environment, forms analytical abilities and competencies in professional activity. The reliability of the obtained results was checked using the λ Kolmogorov-Smirnov criterion. It is determined that when using this technology in the educational process, the indicators in the experimental group increased, which displays the effectiveness of training bachelors in agricultural engineering in the conditions of informational and educational environment.
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Martyniuk, Oleksandr O., Oleksandr S. Martyniuk, and Ivan O. Muzyka. Formation of informational and digital competence of secondary school students in laboratory work in physics. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4446.
Full textAbstract:
The article deals with the formation of informational and digital competence of high school students. First and foremost, the existing digitalization strategies for society already approved in the world and in Ukraine, including the implementation of STEM education and the Digital Agenda, are considered. On the other hand, attention is paid to the inconsistency of the level of ownership and frequency of use of digital technologies with the requirements of these initiatives. The concept of informational and digital competence is analyzed in detail. Existing publications identify key components, skills and competencies required to achieve this competence. A survey is conducted to better understand the current situation. One of the tasks is to determine the level of use of digital information in the classroom by teachers and in students’ preparation at home. The second task was to show how developing students’ informational and digital competence can be done by active introduction of existing software and hardware in the educational process in physics, in particular, a laboratory workshop. The example of laboratory work carried out in educational institutions shows how modern software can be used to analyze the movement of bodies and determine the physical characteristics of this movement. The concrete ways of performing laboratory work, analyzing its results and drawing conclusions are given. It is in the combination of existing teaching practices with modern gadgets, specialized and general programs that the basic way of forming informational and digital competence is seen. Further ways of modernization and improvement of described methods for increasing the level of information and digital competence are proposed.