854 resultados para Universities and colleges--South Carolina--Upper South Carolina Region--Statistics


Relevância:

100.00% 100.00%

Publicador:

Resumo:

Proceedings 1910-1917 re-edited 1930

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Supersedes the Bulletin series of individual institutions.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

The purpose of this study was to examine the factorsbehind the failure rates of Associate in Arts (AA)graduates from Miami-Dade Community College (M-DCC) transferring to the Florida State University System (SUS). In M-DCC's largest disciplines, the university failure rate was 13% for Business & Management, 13% for Computer Science, and 14% for Engineering. Hypotheses tested were: Hypothesis 1 (H1): The lower division (LD) overall cumulative GPA and/or the LD major field GPA for AA graduates are predictive of the SUS GPA for the Business Management, Computer Science, and Engineering disciplines. Hypothesis 2 (H2): Demographic variables (age, race, gender) are predictive of performance at the university among M-DCC AA graduates in Engineering, Business & Management, and Computer Science. Hypothesis 3 (H3): Administrative variables (CLAST -College Level Academic Skills Test subtests) are predictive of university performance (GPA) for the Business/Management, Engineering, and Computer Science disciplines. Hypothesis 4 (H4): LD curriculum variables (course credits, course quality points) are predictive of SUS performance for the Engineering, Business/Management and Computer Science disciplines. Multiple Regression was the inferential procedureselected for predictions. Descriptive statistics weregenerated on the predictors. Results for H1 identified the LD GPA as the most significant variable in accounting for the variability of the university GPA for the Business & Management, Computer Science, and Engineering disciplines. For H2, no significant results were obtained for theage and gender variables, but the ethnic subgroups indicated significance at the .0001 level. However, differentials in GPA may not have been due directly to the race factor but, rather, to curriculum choices and performance outcomes while in the LD. The CLAST computation variable (H3) was a significant predictor of the SUS GPA. This is most likely due to the mathematics structure pervasive in these disciplines. For H4, there were two curriculum variables significant in explaining the variability of the university GPA (number of required critical major credits completed and quality of the student's performance for these credits). Descriptive statistics on the predictors indicated that 78% of those failing in the State University System had a LD major GPA (calculated with the critical required university credits earned and quality points of these credits) of less than 3.0; and 83% of those failing at the university had an overall community college GPA of less than 3.0.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Board of Curators Meeting Minutes for Lincoln Institute (later Lincoln University) from August 4, 1921 to August 10, 1923.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Board of Curators Meeting Minutes for Lincoln Institute (later Lincoln University) from 1913 to May, 1921.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Board of Curators Meeting Minutes for Lincoln Institute (later Lincoln University) from January 24, 1910 to December 30, 1912.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Board of Curators Meeting Minutes for Lincoln Institute (later Lincoln University) from April 22, 1907 to December 20, 1909.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Board of Curators Meeting Minutes for Lincoln Institute (later Lincoln University) from June 13, 1903 to December 20, 1906.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Foto a color, 3 fotos, papel. Año 2002

Relevância:

100.00% 100.00%

Publicador:

Resumo:

This research has as an objective to study the IT Governance in the Brazilian Federal Universities, discusses the relationships between the IT Governance (ITG) mechanisms and the noticed IT management development in those public institutions. The subject Information Technology Governance, is not only vast, but constitutes implications in most different operational and knowledge areas, being relevant to the Public Administration, as a part of Corporative Governance and the public related, evolves high investments, such as financial, structure and material and human resources. The universities are entities from Indirect Administration and essential actors in the knowledge developing and creating and on its managers. Theirs public administrative agents, responds for the managing public resources competence and to provide internal policy that determines how IT will allow a bigger alignment and reaching of institutions business. We highlight the role of universities that manage significant quantity of public resources to achieve its institutional purposes. Looking this way, this theoretical and empirical study has as its goal to design an ITG panorama in the Brazilian universities (67 universities), for the strategic alignment on governance actions and institutional development focusing on the efficiency of the public service offered by those institutions. Facing this research focus delimitation, the methodology process will evolve three investigative activities: (1) documental and bibliographical research, (2) questioning, and exploratory tool, to investigate the IT Governance and Management perception in the IFES, directed to IT executive responsible, as a data collection device and (3) research the availability of ITG information in institutes websites. This project contributes to the studies this subject; it investigates the relations that make the ITG as a business strategy and shows the implementation IT Governance, such as a tool to allow the viability of Corporate Governance. This way, expected to contributes to the Public Administration development, following the principle that to improve it’s needed diagnose, and then, offer better results to the society on this field of working.

Relevância:

100.00% 100.00%

Publicador:

Resumo:

Phenotypic variation in plants can be evaluated by morphological characterization using visual attributes. Fruits have been the major descriptors for identification of different varieties of fruit crops. However, even in their absence, farmers, breeders and interested stakeholders require to distinguish between different mango varieties. This study aimed at determining diversity in mango germplasm from the Upper Athi River (UAR) and providing useful alternative descriptors for the identification of different mango varieties in the absence of fruits. A total of 20 International Plant Genetic Resources Institute (IPGRI) descriptors for mango were selected for use in the visual assessment of 98 mango accessions from 15 sites of the UAR region of eastern Kenya. Purposive sampling was used to identify farmers growing diverse varieties of mangoes. Evaluation of the descriptors was performed on-site and the data collected were then subjected to multivariate analysis including Principal Component Analysis (PCA) and Cluster analysis, one- way analysis of variance (ANOVA) and Chi square tests. Results classified the accessions into two major groups corresponding to indigenous and exotic varieties. The PCA showed the first six principal components accounting for 75.12% of the total variance. A strong and highly significant correlation was observed between the color of fully grown leaves, leaf blade width, leaf blade length and petiole length and also between the leaf attitude, color of young leaf, stem circumference, tree height, leaf margin, growth habit and fragrance. Useful descriptors for morphological evaluation were 14 out of the selected 20; however, ANOVA and Chi square test revealed that diversity in the accessions was majorly as a result of variations in color of young leaves, leaf attitude, leaf texture, growth habit, leaf blade length, leaf blade width and petiole length traits. These results reveal that mango germplasm in the UAR has significant diversity and that other morphological traits apart from fruits can be useful in morphological characterization of mango.