Numerical simulation, is used to study both physical and natural phenomena, based on the knowledge of the differential equation related to the problem, to which the following numerical simulations are applied, Finite Differences, Finite and Infinite Elements, Outline Elements, and Neural Networks.

The calculation process is based on the following:

Knowing the physical-chemical problem, the first step is to transform it into a mathematical problem with the appropriate differential equation, its outline conditions, and its initial conditions (if the problem is temporary).

Then the mathematical problem is solved by one of the numerical methods, leaving a system of equations that will be solved by direct or iterative methods, calibrating the error, to obtain a single solution of the required precision.

Developing the above process requires knowledge of programming and algorithms, to be able to write all of the calculations into a computer system, that then executes the steps, and finally interprets them.

The training to address these types of problems can be divided into the following areas of knowledge:

 Computing Area: 

• Database Administrator

  • Introduction to Databases (Microsoft Access)

  • Database management with SQL and My SQL

  • Create and modify databases on the Internet (html, xml, xsl)

  • Database management in internet applications with PHP

  • Data movement with ASP

  • Networked database processing with Visual Basic.net

• Programmer Analyst:

  • Learn and Apply Programming Foundations

1. Algorithm b) MATLAB

   • Learn and Apply Object Oriented Programming.

2. Visual Basic.net b) JAVA

Numerical Simulation Area:

• Specialist in Numerical Simulation:

  • Simulation using Finite Differences.

  • Simulation using Finite and Infinite Elements.

  • Simulation using Outline Elements

  • Simulation using Neural Networks.

Environment Area:

• Geographic Information Systems Specialist (GIS)

  • Introduction to geographic information systems.

  • Georeferenced Information Systems.

  • Structuring geographic information.

  • Information analysis. Spatial analysis procedures.

  • Information outputs.  Generation of charts and reports.