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.

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.

This course is intended for an academic semester of Mechanical Engineering graduate students. Its objective is to provide thermodynamics students with solids concepts of classical and statistical thermodynamics, since statistical thermodynamics includes classical results.  The course is organized in two basic sections. The first section includes classical thermodynamics concepts while the second section includes themes associated with the statistical thermodynamics. Classical section contains concepts such as state equations, first and second laws as well as their consequences and applications. Statistical section includes themes on gas kinetics, principles of both equilibrium statistical thermodynamics and classical and statistical thermodynamics, statistics of ideal gases, and finally, application of statistical models.

This course approaches the designg of mechanisms aided by computer tools, including existing commercial software and algorithms development. The course is a natural continuation of basic undergraduate courses in analysysis of mechanisms, since it deals with the analysis and synthesis cycle including kinematic, dynamic and manufacturing considerations. Performance indexes such as sensitivity, mechanical advantage and power indicators are introduced for the evaluation during the design process.

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.

During this course, the student develops the theoretical framework of the thesis project and advances in the approach of the solutions to the selected problem.

The student enrolled in this course is finalizing the research project and presents the results to a group of experts. 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.

The student enrolled in this course is developing an international research experience.