###### COMPUTATIONAL MATHEMATICS

### Differential Calculus and Numerical Differentiation

Understand and apply the mathematical concepts of differential calculus in the study of physical and engineering phenomena.

###### COMPUTATIONAL MATHEMATICS

### Integral Calculus and Numerical Integration

Develop mathematical concepts to carry out the integration analytically that would yield exact solutions and using numerical methods that would yield approximate solutions, considering the approximation error.

###### COMPUTATIONAL MATHEMATICS

### Multivariable Calculus

Apply the mathematical concepts of multivariable calculus in the study of physical and engineering phenomena, to model and study high-dimensional systems that exhibit deterministic behavior.

###### COMPUTATIONAL MATHEMATICS

### Introduction to Linear Algebra

The course is aimed at the study of linear and nonlinear systems to solve engineering and applied science problems, through the modeling of natural phenomena and models of industrial machines, improving the ability to efficiently compute these models.

###### COMPUTATIONAL MATHEMATICS

### Interpolation and Regression Methods

Apply interpolation and regression models to make estimates and build predictive models based on historical data and mathematical functions.

###### COMPUTATIONAL MATHEMATICS

### Differential Equations with Numerical Solutions

Understand and apply the mathematical concepts of differential equations and the Laplace transform to solve problems in applied sciences and engineering, as well as develop programs and simulators with Python.