dc.contributorSouza, Adriano Mendonça
dc.contributorhttp://lattes.cnpq.br/5271075797851198
dc.contributorCassanego Junior, Paulo Vanderlei
dc.contributorhttp://lattes.cnpq.br/7581727785609073
dc.contributorAnsuj, Angela Pellegrin
dc.contributorhttp://lattes.cnpq.br/4331195282444316
dc.creatorHuppes, Jean Cauê
dc.date.accessioned2017-01-20
dc.date.available2017-01-20
dc.date.created2017-01-20
dc.date.issued2016-08-26
dc.identifierHUPPES, Jean Cauê. Index of allocation of financial resources of public colleges: a case study at UFSM. 2016. 70 f. Dissertação (Mestrado em Engenharia de Produção) - Universidade Federal de Santa Maria, Santa Maria, 2016.
dc.identifierhttp://repositorio.ufsm.br/handle/1/8414
dc.description.abstractThis research sought to identify the variables of greater impact in shaping the Student Equivalent Index Nfte (G), which is used for the allocation of resources in the eight learning centers of the Federal University of Santa Maria, RS, in order to describe through a set of variables related to the budget through the main instruments of planning and control of resources made available to the Brazilian public universities. The data have been obtained from the data processing center of the Federal University of Santa Maria, in the period from 2010 to 2013. The results show that the variables that contribute most to the formation of the (Nfte (G)), are number of Graduates (Ndi) and number of Freshmen (Ni). The largest courses (Nfte (G)) are: Medicine, dentistry, veterinary medicine, Civil Engineering, electrical engineering and mechanical engineering. The courses less contribute in the formation of (Nfte (G)) are: Music and Spanish Course. The courses in a second moment, was applied to cluster analysis, which identified with a high degree of similarity between the Ndi and Ni throughout the analysis period. It should be noted, too, that these variables are the only ones that can be directly modified by means of the interaction of public policies. During all years analyzed, the variable retention R was the most inconclusive, corresponding to the lowest average. Also it was found that the clusters presented the same structure of agglomeration. In order to verify the more similar courses, cluster analysis, considering them as variables. Over the years, the more disparate courses were the same presented in descriptive analysis. They are: Medicine, animal science, dentistry, Civil Engineering and mechanical engineering. The more similar courses were bachelor courses. It was noted that, in the four years examined, the subdivision of the groups was also.
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBR
dc.publisherEngenharia de Produção
dc.publisherUFSM
dc.publisherPrograma de Pós-Graduação em Engenharia de Produção
dc.rightsAcesso Aberto
dc.subjectÍndice aluno equivalente
dc.subjectAnálise de cluster
dc.subjectAnálise fatorial
dc.subjectResource allocation index
dc.subjectCluster analysis
dc.subjectFactor analysis
dc.titleAnálise do índice de alocação de recursos financeiros: um estudo de caso na UFSM
dc.typeDissertação


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