4000

The objective of this course is to introduce students to the experiment design theory and practice, the apparatuses used to measure the most important physical variables, the methodology used to measure such variables, the management of signals and the analysis of errors. The course contents include: Experimental design (basic statistics), probability distributions, hypothesis testing, median comparison, variance analysis and trust intervals), quality control applications. Manipulation, transmission and data recording (regressions, frequency analysis, filtering). Measuring systems (applications, set-up and description of measuring instruments, and instrument performance characteristics) Basic programming and algorithms. Practical projects.

Vectorial n-dimensional spaces. Lineal operators, self-value theory, Jordan forms and application to ordinary equations. Differential vectorial operations: escalation and vectorial field gradients, divergence and rotational, total derivatives, vectorial operators in mechanics. Balance problems: discrete, continuous, orthogonal expansion solution, non-linear problems and linearization. Dynamic problems: symmetric and continuous problem solving, modal analysis, orthogonal expansion solution for diffusion problems, Fourier transform. Finite elements: variational problems on spaces with discrete functions.

Physical properties of fluids, kinematics of the flow field, force and heat flow, equations that govern flow movement, movement equations applications, boundary layers and introduction to turbulence. Kinematics: Euler and Lagrange descriptions. Speed field and its gradient: Acceleration, Vorticity, Change of Volume, Deformation. Determination of accelerations, vorticity and deformation in these flows. Force and heat flow: Pressure and gravity, Viscous forces, thermal conduction and Fourier Law. Laminar Boundary Layers: Prandtl and VonKarman-Pohlhaussen equations. Integral solutions for hydrodynamic and thermal layer. Film dragging coefficients and thermal convection. Introduction to turbulence: Non-lineal dynamic problems "simples" with chaotic evolution. Stable and unstable balance, limit cycles and "atractores extraños". The "clausura&ldquo problem, of statistical chaotic dynamic system models. Simple hypotheses in the surroundings of a wall. Thermal - Hydrodynamic Analogies and convection in turbulent CL.

This is a first course of computer networks. Under a top-down approach, it presents each one of the levels that compose the protocol stack of a network, with special emphasis in TCP/IP that is in the base of the Internet. TCP/IP is used like example of real implementation of the fundamental concepts of networks, without forgetting the protocols and implementations of different network architectures. Specificities are additionally introduced to understand how to adapt these concepts to new technologies like wireless networks. Special emphasis is put to understand the impact on both security and performance of current networking implementations.,English,- The course has two equally important components: theoretical lectures and practical laboratories. Laboratories not only illustrate the practical part of the most important concepts seen in the theoretical classes, but also they complement in themes that seek to give to students new skills useful in the practice of the profession.

Perfectioning of concepts related to the crystal-amorphous nature of engineering materials as well as in the punctual, lineal and 3D imperfections associated with these structures. Likewise, the study of these concepts will determine the observation of the mechanical properties associated with metal, ceramic and polymeric materials and some of the corresponding consequences of their processing.

This course studies the persistence problem of huge amounts of shared data in transactional systems

Study the way of understanding a complex organizational structure in order to design a high level IT architecture that allows supporting business objects the best way possible. Such design must specify a project roadmap that allows the organization to move forward from its actual situation, or AS-IS, to the objective situation, or TO-BE. Each project must group a set of requirements.

To develop software design and software architecture abilities based on shared experienced of academic researchers and industrial practitioners documented as styles, patterns and tactics. Also the student will understand the impact of the technology choosen in the software architecture.

The purpose of the course for the student is to acquire practical experience through the development of a medium-sized project in groups of five students. For this, we use an iterative delivery process by stages, supported by computational tools.

The course objective is to study different scenarios in the decision making process within organizations. The required analysis, integration strategies, data structures, methodologies, technologies and support tools are also studied.

The scientific research is derived from a question or problem that has not been studied before, or the response of which is not satisfactory yet. A research is far more than a simple search for information, it is the consequence of the systematic application of the scientific method, with the final purpose of contributing to the solution of problems that affect society. A research requires goals, planning, hypotheses, critical assumptions and information generation and interpretation. The general purpose of this course is to provide students the tools for the sound exercise of research, within the framework of the scientific method. The articulation of these tools by students will be evaluated based on the research proposal and its defense before a panel of evaluators.

Under the direction of an advisor professor, the engineer must become familiar with the research project topic and must conduct a search and a study of the bibliography material. During this course, students will gain technique knowledge and skills to conduct research i.e.- they will develop mathematical models, analytical methods, etc. In the event of experimental research, students will design equipment, experiments, etc.

Purpose: The student must fully build and / or develop the algorithms and analytical techniques to achieve research objectives. Likewise, the student must build and conduct the assembly needed to verify the proposed model from an experimental point of view.

Project individually solved by the student under the advise of professors in the field of interest.