The aim of this course is for students to learn and apply elementary concepts and appropriate probabilistic techniques to model and solve problems that involve decisions under conditions of uncertainty.

The aim of this course is for students to be acquainted with and apply the principles necessary to manage service organizations, satisfying consumer needs at a competitive level in a global context.

The aim of this course is for students to manage and apply knowledge of statistical process control and sampling plans to control and optimize the quality of proudcts and services.

The aim of this course is for students to design the right location of a plant or warehouse, considering cost, and environmental and social factors. They will be able to design and to improve the layout and material handling systems of a facility, aiming to reduce the cost of handling materials.

The aim of this course is for students to discover and study the crystalline structure of metals, ceramics, and polymers, as well as their mechanical and technolgical properties and the methods that can be applied to determine these properties.

Sudents will use the scientific method as a design norm, as well as the the concepts of kinematics and dynamics, in the development of computer simulations. They will use specialized software in the structuring of their projects.

The aim of this course is for students to apply the main laws that govern wave motion, fluid mechanics, thermodynamics, and gas theory in the solution of science and engineering problems.

The aim of this course is for students to understand and apply the basic concepts of probability and statistics to the analysis and interpretation of quantitative information. These concepts include: grouping and graphical representation of data, descriptive measures, exploratory data analysis, probability distributions, classical theory of estimation and hypothesis testing, correlation and regression, and non parametric tests.

The aim of this course is for students to apply the fundamental concepts of probability theory and mathematical statistics (random variables, mathematical expectation, discrete and continuous probability distributions, joint distributions, sampling distribution, estimation theory, classical theory of hypothesis testing and non parametric methods) in solving engineering problems.