The aim of this course is for students to develop the statistical abilities needed in the solution of problems associated with market analysis and research. These include the use of: sampling methods, multivariate analysis, variance and covariance analysis, multiple regressions, multiple variance analysis, factor analysis, discriminating analysis, conglomerate analysis, set analysis, and multidimensional scaling. They will apply these basic concepts in conjunction with computational resources in the solution of problems that  involve multivariate analysis.

Students will use the concepts of kinematics and dynamics in the development of computational simulations. The use of specialized software will be applied in the structuring of the projects.

The aim of this course is for students to understand the basic notions of experimental physics through a set of practical laboratory exercises which include different measurement techniques commonly used in Physics.

The aim of this course is for students to learn the methodology used to develop a videogame project, discover three-dimensional object modeling, and learn the mapping techniques that will allow any imaginable world to be created.

The aim of this course is for students to use different tools and languages to design and create web applications by integrating technological components that provide a better user experience (XML, RSS, Mashup, Widgets, Wikis, Blogs, Ajax, Security, and Content Management System).

The aim of this course is for students to master the principles of "motion tracking" to design an application that integrates digital elements with relative motion, representing reality as closely as possible. They will design and produce environments that surround an animation to accomplish a correspondence between motion characters and environments.

The aim of this course is for students to understand basic concepts related to computer perception and study existing methods and techniques. They will learn algorithms used in the area of computational perception and apply them in examples.

The aim of this course is for students to: (1) Understand and apply methodologies and techniques for designing and developing object-oriented software. (2) Identify and specify objects, classes, behaviors, relationships, rules and formal techniques for software development. (3) Use modeling tools such as UML to illustrate analysis and design (software testing, metrics, reuse and ease of software maintenance, and recursion).

The aim of this laboratory is for students to design and to develop practical applications for projects with microprocessors.

By the end of this course, students will be able to design electromechanical systems that include sensors, microprocessors, communications and programming, with the aim of increasing the productivity, quality and reliability of productive processes in industrial, commercial, and service organizations.