Resolution of mathematical problems that can arise in engineering: statistics and optimization.
Nowadays, information management is a cornerstone in the development of any profession, especially in the field of engineering. Therefore, to have a basic knowledge of statistics in order to attain a correct organization and analysis of data is essential. For example, in the field of industrial engineering, quality control in production processes requires the use of statistical models.
On the other hand, the use of algorithms has become widely spread in different processes in the field of industrial engineering such as software design, technical drawing or designing robots and electronic components. Thus, some basic knowledge of numerical algorithms is needed in the formation of an industrial engineer.
Finally, the engineering systems grow in complexity. Therefore, the modeling and optimization of systems is becoming increasingly necessary to improve its performance and efficiency. For example, the design of a production line requires an analysis that includes, first, to model the process and, later on, to determine the optimum values of the parameters that describe it. Likewise, the use of models and optimization techniques is necessary for improving the decision-making at any business level, which obviously includes any company in the industrial field.