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.

The aim of this course is for students to be able to read and interpret statistical information contained or embedded in different sources of information, whether they be for everyday life or professional activities.

At the conclusion of this course, students will be able to apply concepts of kinematics and dynamics to the development of computer simulations. Students will use specialized software in the preparation of their projects.

The aim of this course is for students to understand multivariable differential and integral calculus, the use of various coordinate systems, the geometry of space, and complex variables. By the end of the course, they will be able to apply this knowledge to solve problems related to science and engineering.

The aim of this course is for students to apply the techniques of matrix algebra, including the fundamental concepts of vector space and linear transformations, in the study and future application of linear models for different fields.

The aim of this course is for students to understand and apply the fundamental principles of integral calculus, integration techniques, and infinite series and their properties in order to solve problems from various fields.

The aim of this course is for students to (1) Learn the concepts involved in matrix algebra and apply them to the soluiton of linear equation systems. (2) Learn the importance of linear programming in the decision-making process. (3) Select the best technique to identify, state in mathematical terms, and solve problems where the variables are linearly related, trying to optimize a target function subject to restrictions.

The aim of this course is for students to understand the basic elements of graphs, limits, derivation, and integration of algebraic, exponential and logarithmic functions for the purpose of applying these concepts to the solutions of problems in the business environment.