LEADER 03531nam 2200589z- 450 001 9910587468803321 005 20220829 035 $a(CKB)5700000000114391 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91559 035 $a(oapen)doab91562 035 $a(EXLCZ)995700000000114391 100 $a20202208d2018 |y 0 101 0 $aspa 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aEstudio Comparativo entre Lenguajes Textuales y Lenguajes Visuales Caso: PiCO y GraPiCO 210 $aColombia$cUniversidad Santiago de Cali$d2018 215 $a1 online resource (1-272 p.) 311 08$a958-5522-42-X 330 $aEn los an?os 90 surgio? un movimiento en la disciplina de la computacio?n, los lenguajes de programacio?n visual. La idea inical era que por medio especi?ficamente y u?nicamente de ima?genes poder editar complejos programas de computadora. Es por esto que el u?ltimo decenio del siglo XX fue una temporada de muchos intentos por desarrollar la pro?gima generacio?n de lenguajes de programacio?n. Infortunadamente, los computadores en ese entonces no teni?an el poder de co?mputo requerido por las nuevas teori?as de programacio?n, es por esto que el avance en lenguajes de programacio?n visual fue fundamentalmente teo?rico. Pero ya en el siglo XXI las nuevas computadoras personales son incluso hasta 10 veces ma?s potentes que las u?ltimas del siglo pasado, permitiendo procesar complicados programas donde la parte visual tine un rol protago?nico. Uno de estos desarrollos fue precisamente el ca?lculo computacional textual llamado PiCO y su posterior geneacio?n el ca?lculo visual GraPiCO. Estos dos ca?lculos fueron propuestos por el grupo de investigacio?n AVISPA de la Universidad del Valle y la Pontificia Universidad Javeriana de Cali, apenas ahora se pueden realizar programas netamente visuales, empleando el programa E_GraPiCO que es el editor visual de ca?lculo PiCO. 517 $aElementos preliminares 517 $aEstudio Comparativo entre Lenguajes Textuales y Lenguajes Visuales Caso 517 $aAprendizaje basado en problemas 606 $aProgramming techniques$2bicssc 610 $aEstudio comparativo 610 $aIngenieri?a de sistemas 610 $aLenguajes de programacio?n 610 $aPiCo y GraPiCO 615 7$aProgramming techniques 700 $aEspinosa Galliady$b Luis Eduardo$4auth$01294233 702 $aTavera Romero$b Carlos Andrés$4auth 702 $aTriana Lozano$b Marco Antonio$4auth 702 $aEspinosa Galliady$b Luis Eduardo$4edt 702 $aCano Castillo$b Christian Felipe$4edt 702 $aTavera Romero$b Carlos Andrés$4edt 702 $aCruz Pérez$b Yenny Viviana$4edt 702 $aPenagos Muñoz$b Juan David$4edt 702 $aRamírez Arcila$b Paola Andrea$4edt 702 $aTriana Lozano$b Marco Antonio$4edt 702 $aEspinosa Galliady$b Luis Eduardo$4oth 702 $aCano Castillo$b Christian Felipe$4oth 702 $aTavera Romero$b Carlos Andrés$4oth 702 $aCruz Pérez$b Yenny Viviana$4oth 702 $aPenagos Muñoz$b Juan David$4oth 702 $aRamírez Arcila$b Paola Andrea$4oth 702 $aTriana Lozano$b Marco Antonio$4oth 906 $aBOOK 912 $a9910587468803321 996 $aEstudio Comparativo entre Lenguajes Textuales y Lenguajes Visuales Caso: PiCO y GraPiCO$94422545 997 $aUNINA LEADER 04438nam 22007095 450 001 9910855391003321 005 20250715133014.0 010 $a9781461480334 024 7 $a10.1007/978-1-4614-8033-4 035 $a(CKB)31801674000041 035 $a(MiAaPQ)EBC31310967 035 $a(Au-PeEL)EBL31310967 035 $a(OCoLC)1432587417 035 $a(DE-He213)978-1-4614-8033-4 035 $a(EXLCZ)9931801674000041 100 $a20240429d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHandbook of Scan Statistics /$fedited by Joseph Glaz, Markos V. Koutras 205 $a1st ed. 2024. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2024. 215 $a1 online resource (812 pages) 225 1 $aMathematics and Statistics Series 311 08$a9781461480327 327 $aPreface -- I. History and Early Developments -- II. Methods and Techniques in Research and Scan Statistics -- III. One Dimensional Scan Statistics -- IV. Two and Three Dimensional Scan Statistics -- V. Biological Sciences -- VI. Biosurveillance and Reconnaissance -- VII. Engineering and Physical Sciences -- VIII. Ecology and Environmental Sciences -- IX. Information Sciences -- X. Medical Sciences -- XI. Public Health -- XII. Reliability and Quality Control -- XIII. Social Sciences -- XIV. Veterinary and Animal Science. 330 $aScan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years. Google Scholar lists about 3,500 hits to references of articles on scan statistics since the year 2020, resulting in over 850 hits to articles per year. This is mainly due to extensive and diverse areas of science and technology where scan statistics have been employed, including: atmospheric and climate sciences, business, computer science, criminology, ecology, epidemiology, finance, genetics and genomics, geographic sciences, medical and health sciences, nutrition, pharmaceutical sciences, physics, quality control and reliability, social networks and veterinary science. This volume of the Handbook of Scan Statistics is a collection of forty chapters, authored by leading experts in the field, outlines the research and the breadth of applications of scan statistics to the numerous areas of science and technology listed above. These chapters present an overview of the theory, methods and computational techniques, related to research in the area of scan statistics and outline future developments. It contains extensive references to research articles, books and relevant computer software. Handbook of Scan Statistics is an excellent reference for researchers and graduate students in applied probability and statistics, as well as for scientists in research areas where scan statistics are used. This volume may also be used as a textbook for a graduate level course on scan statistics. . 410 0$aMathematics and Statistics Series 606 $aStatistics 606 $aBioinformatics 606 $aBiometry 606 $aSocial sciences$xStatistical methods 606 $aStatistics 606 $aStatistical Theory and Methods 606 $aBioinformatics 606 $aBiostatistics 606 $aEstadística matemàtica$2thub 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aBioinformatics. 615 0$aBiometry. 615 0$aSocial sciences$xStatistical methods. 615 0$aStatistics. 615 14$aStatistical Theory and Methods. 615 24$aBioinformatics. 615 24$aBiostatistics. 615 7$aEstadística matemàtica 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.5 700 $aGlaz$b Joseph$066319 701 $aKoutras$b Markos V$01738162 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910855391003321 996 $aHandbook of Scan Statistics$94160156 997 $aUNINA