El principal objetivo de la presente Tesis es evaluar y analizar la influencia de los Términos de Referencia establecidos por el Ministerio de Transporte y Comunicaciones (MTC) para el cumplimiento de los Cronogramas de ejecución de los Estudios de Ingeniería correspondientes a la fase de Preinversión a nivel de factibilidad de obras viales en el Perú. En los primeros Capítulos se presenta la teoría del Estudio de Factibilidad, así como también la definición del Sistema Nacional de Inversión Pública donde consideramos el Anexo 7 y el Anexo 10 donde se desarrollan los Contenidos Mínimos que debe tener el estudio de Factibilidad para un Proyecto de Inversión Pública y los Parámetros de Evaluación, después de ello se presentan los 3 Proyectos que vamos a analizar y la descripción de los estudios con sus respectivos porcentajes de avance según los informes a presentar y los plazos establecidos por los Términos de Referencia. A partir de esta información, se procede a evaluar mediante rendimientos obtenidos de las experiencias de Especialistas, para la ejecución de los estudios de las diferentes especialidades de Ingeniería, estos rendimientos fueron usados para elaborar un cronograma Gantt para el Proyecto “Rehabilitación y Mejoramiento de la Carretera Ciudad de Dios – Cajamarca” y así determinar la influencia de los TDR en el cumplimiento de los Cronogramas. La presente Tesis se ha enfocado en determinar la interdependencia de cada una de las Especialidades de los estudios de Ingeniería y evaluar los plazos establecidos en los Términos de Referencia para la entrega de los informes que contienen estos estudios. The main objective of this thesis is to evaluate and analyze the influence of the Terms of Reference established by the Ministry of Transport and Communications (MTC) for compliance schedules execution of engineering studies at the preliminary stage level feasibility of road works in Peru. In the early chapters the theory of the Feasibility Study is presented, as well as the definition of the National Public Investment System where we consider Annex 7 and Annex 10 where the minimum content that should be a feasibility study for a project to develop Public investment and the evaluation parameters thereafter presented the 3 projects that will analyze and description of studies with their respective percentage of progress reported at present and the deadlines set by the Terms of Reference. From this information, we proceed to evaluate by yields from the experiences of specialists for the execution of studies of different engineering specialties, these returns were used to develop a Gantt schedule for the "Rehabilitation and Improvement Project City of God road - Cajamarca "and determine the influence of TDR in compliance with schedules. This thesis has focused on determining the interdependence of each of the specialties of engineering studies and evaluate the terms established in the Terms of Reference for the submission of reports containing these studies.

This dissertation uses a historical approach to study the origins and trajectory of computer engineering as a domain of disciplinary and professional activity in the United States context. Expanding on the general question of "what is computer engineering?," this project investigates what counts as computer engineering knowledge and practice, what it means to be a computer engineer, and how these things have varied by time, location, actor, and group. This account also pays close attention to the creation and maintenance of the "sociotechnical" boundaries that have historically separated computer engineering from adjacent fields such as electrical engineering and computer science. In addition to the academic sphere, I look at industry and professional societies as key sites where this field originated and developed. The evidence for my analysis is largely drawn from journal articles, conference proceedings, trade magazines, and curriculum reports, supplemented by other primary and secondary sources. The body of my account has two major parts. Chapters 2 through 4 examine the pre-history and early history of computer engineering, especially from the 1940s to early 1960s. These chapters document how the field gained a partially distinct professional identity, largely in the context of industry and through professional society activities. Chapters 5 through 7 turn to a historical period running from roughly the mid 1960s to early 1990s. Here I document the establishment and negotiation of a distinct disciplinary identity and partially unique "sociotechnical settlement" for computer engineering. Professional societies and the academic context figure prominently in these chapters. This part of the dissertation also brings into relief a key argument, namely that computer engineering has historically occupied a position of "persistent instability" between the engineering profession, on the one hand, and independent disciplines such as computer science, on the other. In an Epilogue I review some more recent developments in the educational arena to highlight continued instabilities in the disciplinary landscape of computing, as well as renewed calls for the establishment of a distinct disciplinary and professional identity for the field of computer engineering. I also highlight important countervailing trends by briefly reviewing the history of the software/hardware codesign movement. / Ph. D.

Basic mathematical competency seems to be lacking for engineering students starting their studies in this field. Students generally find the cognitive transition from secondary to tertiary mathematics challenging which in turn negatively influences their academic achievement in mathematics. The cognitive challenge is the transition from the application of mathematics to familiar questions to applying mathematical principles to varying practical application and problem solving. Mathematics provides the foundation for the cognitive toolset required for the development of skills required for analysing engineering systems and processes. It is therefore important to assess mathematical and cognitive competency and ability at the time of admission to a tertiary institution in order to identify and address gaps. This research demonstrates that first-year engineering students need to have a specific level of mathematical competency and cognitive ability to use mathematics within the context of engineering studies. This research attempts to connect the mathematic competency of first year engineering students to their academic results for subjects in the first year curriculum that rely heavily on mathematical competency. To satisfy the research question, the study firstly looks at relevant literature to identify the mathematical competency levels as well as the operational specification. Secondly, development theories and taxonomies were analysed to gain insight into the development processes associated with learning, cognitive development and the gap between cognitive competencies in transition from secondary to tertiary education. Further, cognitive competencies were identified that are essential for successful completion of first year engineering modules. Through synthesis of the different theories and taxonomies a framework was identified. This framework was used to analyse secondary data in order to measure mathematical and cognitive levels. Thirdly, the theoretical investigation was followed by a three-phase empirical study. A mixed quantative-qualitative (QUAN-qual) approached was followed. Phase 1 uses the assessment framework to measure first year students‟ mathematical competency at the inception of their studies as well as at the completion of their first semester. The mathematical competency at inception was measured with their Grade 12 mathematics marks and with relevant analysis of their initial bridging assessments, on a question by question basis. In addition, their first semester exams questions were analysed using the same approach as above. Phase 2 comprises the measurement of the relationship between the mathematical competency of first year enigineering students at admission and their achievement levels in selected first year subjects that required mathematical competency. Phase 3 includes the guidelines derived from the gaps and shortcomings identified. These gaps were identified in order to inform appropriate study support to first year students and to assists academic personnel with setting appropriate and dependable admission standards. The analysis of mathematical competency creates quality data that gives a clearer picture than a simple comparison of admission scores and first semester marks. The empirical study contributes to a better understanding of the problems associated with the transition from secondary to tertiary learning environments. From the study it was derived that study inception information of the students correlated only with their academic results on questions that tested mathematical and programming application. The inception information was not a predictor of mathematical achievement and results for both the lowest and highest mathematical competency levels. Futher study in this field is required to create frameworks for the measurements of both low and high levels of mathematical competency. / MEd (Mathematics Education), North-West University, Potchefstroom Campus, 2014

Basic mathematical competency seems to be lacking for engineering students starting their studies in this field. Students generally find the cognitive transition from secondary to tertiary mathematics challenging which in turn negatively influences their academic achievement in mathematics. The cognitive challenge is the transition from the application of mathematics to familiar questions to applying mathematical principles to varying practical application and problem solving. Mathematics provides the foundation for the cognitive toolset required for the development of skills required for analysing engineering systems and processes. It is therefore important to assess mathematical and cognitive competency and ability at the time of admission to a tertiary institution in order to identify and address gaps. This research demonstrates that first-year engineering students need to have a specific level of mathematical competency and cognitive ability to use mathematics within the context of engineering studies. This research attempts to connect the mathematic competency of first year engineering students to their academic results for subjects in the first year curriculum that rely heavily on mathematical competency. To satisfy the research question, the study firstly looks at relevant literature to identify the mathematical competency levels as well as the operational specification. Secondly, development theories and taxonomies were analysed to gain insight into the development processes associated with learning, cognitive development and the gap between cognitive competencies in transition from secondary to tertiary education. Further, cognitive competencies were identified that are essential for successful completion of first year engineering modules. Through synthesis of the different theories and taxonomies a framework was identified. This framework was used to analyse secondary data in order to measure mathematical and cognitive levels. Thirdly, the theoretical investigation was followed by a three-phase empirical study. A mixed quantative-qualitative (QUAN-qual) approached was followed. Phase 1 uses the assessment framework to measure first year students‟ mathematical competency at the inception of their studies as well as at the completion of their first semester. The mathematical competency at inception was measured with their Grade 12 mathematics marks and with relevant analysis of their initial bridging assessments, on a question by question basis. In addition, their first semester exams questions were analysed using the same approach as above. Phase 2 comprises the measurement of the relationship between the mathematical competency of first year enigineering students at admission and their achievement levels in selected first year subjects that required mathematical competency. Phase 3 includes the guidelines derived from the gaps and shortcomings identified. These gaps were identified in order to inform appropriate study support to first year students and to assists academic personnel with setting appropriate and dependable admission standards. The analysis of mathematical competency creates quality data that gives a clearer picture than a simple comparison of admission scores and first semester marks. The empirical study contributes to a better understanding of the problems associated with the transition from secondary to tertiary learning environments. From the study it was derived that study inception information of the students correlated only with their academic results on questions that tested mathematical and programming application. The inception information was not a predictor of mathematical achievement and results for both the lowest and highest mathematical competency levels. Futher study in this field is required to create frameworks for the measurements of both low and high levels of mathematical competency. / MEd (Mathematics Education), North-West University, Potchefstroom Campus, 2014