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Engineering: Industrial Process Automation Specialization

Degree Specialist in Industrial Process Automation
Level Specialization
Duration 20 months
Number of credits 23
Class Schedule Day
Modality On-Campus Learning
SNIES Code 1569

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Objectives

To train professionals with the skills and abilities for the management, design and development of projects for the automation of industrial processes, with particular emphasis on modern planning, design, implementation, operation and control techniques of automated production systems.

The program has quality professors out of which 80% of them have completed their Doctoral Degrees There are also 17 new laboratories and a learning room where engineers can develop multidisciplinary industrial applications using specialized software. In addition, students will have access to the School's research groups, among which their main support for their projects will be the Research Group on Automation and Production (GIAP).

http://giap.uniandes.edu.co.

This program lasts 300 hours, in courses of 30 hours each, divided in to three semesters, with classes on Thursdays, Fridays and Saturdays, once a month. In total, there will be 11 obligatory courses and a thesis project.

Study-Plan

Model Program

First Semester

AUTO-5223Fundamentos de Instrumentacion Industrial

2
AUTO-5200Fundamentos de Elementos de Sistemas de Control

2
AUTO-5220Procesos Industriales en Transporte de Crudo

2
AUTO-5229Fundamentos Hidraulicos

2
Total Credit Hours:8

Second Semester

AUTO-5214Gerencia de Proyectos

2
AUTO-5226Control de Movimiento

2
AUTO-5215Control Avanzado

2
AUTO-5211Control Regulatorio

2
Total Credit Hours:8

Third Semester

AUTO-5201Proyecto de Grado

2
AUTO-5227Optimizacion

2
AUTO-5228Instalaciones Areas Clasificadas

1
AUTO-5210Informatica Industrial

2
Total Credit Hours:7

Alumni Profile

The alumni will have the ability to manage, design and develop project for the automation of industrial processes, with particular emphasis on modern planning design, implementation, operation and control techniques of automated production systems.

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