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Digital Twins Course

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About this course

This course in Digital Twins is aimed at engineering professionals interested in simulation and optimization of industrial processes. It is also suitable for those who wish to acquire knowledge in digital twins and their application in the produ...

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University degree

200 h

Online

8 ECTS (Créditos)

Titulacion

Qualification of Digital Twins Course

University Degree in Digital Twins with 200 hours and 8 ECTS credits by the Catholic University of Murcia.

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Objectives

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Understand the fundamental concepts and principles of digital twins.

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Apply digital twin technology in the simulation of mechanical manufacturing processes.

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To integrate simultaneous engineering in the product life cycle through the use of digital twins.

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To know the quality management processes and their integration with digital twins.

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To become familiar with process control and monitoring systems, such as SCADA and HMI.

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Understand the concepts and applications of industrial networks in the context of digital twins.

Why choose Digital Twins Course?

In an increasingly digitized world, the ability to understand and apply innovative technologies such as digital twins has become a crucial skill for industrial professionals. If you are an engineer looking to optimize processes, improve efficiency and real-time decision making, this Course in Digital Twins from Educa University is the opportunity you've been waiting for to take your career to the next level.

What are Digital Twins?

The concept of digital twins is one of the most advanced technologies that is marking the transition to Industry 4.0. A digital twin is a virtual replica of a process, system or physical product that allows simulating, analyzing and predicting its behavior in the real world. This technology offers tremendous advantages by allowing companies to not only monitor, but also optimize their operations through predictive models based on real-time data.

This course will provide you with an in-depth understanding of how to integrate digital twins into manufacturing process simulation and how this technology can be applied to improve the product lifecycle. From its use in improving production processes to optimizing the maintenance of industrial systems, mastering this tool will allow you to offer innovative solutions to companies in any sector.

Course Objectives in Digital Twins

Throughout this course, you will acquire the knowledge and skills necessary to implement digital twins in various industrial scenarios. The main objectives include:

  1. Understanding the fundamental principles of digital twins and how they work.
  2. Applying digital twins in the simulation of manufacturing and production processes.
  3. Integrate simultaneous engineering in the product life cycle using this technology.
  4. Optimize industrial processes by using control and monitoring systems such as SCADA and HMI.
  5. Familiarize yourself with the use of industrial networks and how digital twins interact with these systems.

This comprehensive approach will not only train you in the technical use of digital twins, but also in their integration into the broader processes of industrial management.

Course Contents

Educa University's Course in Digital Twins is divided into didactic units covering key aspects of the use of digital twins in industry. These units include:

  1. Introduction to Digital Twins: Learn what they are, how they are applied and the importance of digital twins in decision making and maintenance optimization.
  2. Mechanical Manufacturing Process Simulation: Study how digital twins can be used for production simulation in the mechanical industry, a key area in manufacturing.
  3. Concurrent Engineering and the Product Life Cycle: Understands how to integrate the concept of concurrent engineering with digital twins to manage the entire life cycle of a product efficiently.
  4. Integration with Quality Management Systems: Analyzes how digital twins improve quality management processes through advanced tools such as Pareto and Cause-Effect diagrams.
  5. Process Control and Monitoring Systems: Learn about SCADA and HMI systems and their role in real-time industrial process monitoring.
  6. Industrial Buses and Networks: Understand the principles of industrial networks and how different communication technologies impact the effectiveness of digital twins.
  7. Computer-Aided Maintenance Management (CMMS): Learn how to manage industrial maintenance using digital tools that optimize asset availability and performance.

Who Is This Course For?

This course is designed for industrial sector professionals, especially those with an engineering background, interested in exploring new ways to improve process efficiency using digital twins. In addition, it is perfect for:

  • Engineers interested in industrial process optimization.
  • Professionals who wish to specialize in Industry 4.0 and its applications.
  • Those looking to acquire new technological competencies in the context of advanced manufacturing.

Although no specific prior knowledge is required, having a background in engineering will be very useful to get the most out of the course.

Career Opportunities

The job opportunities for this course are broad and growing, as the demand for experts in digital twins and industrial process simulation continues to grow. You will be able to work as:

  • Simulation engineer in companies in various industrial sectors.
  • Consultant in process optimization for large companies.
  • Specialist in implementation of control systems.
  • Computer-assisted maintenance manager in technology and engineering companies.

At the end of the course, you will be prepared to lead optimization and simulation projects using advanced technologies, which will open new doors in your professional career.

Methodology and Qualification

The Course in Digital Twins of Educa University has a 100% online modality, which will allow you to learn at your own pace and from anywhere. With a total of 200 hours of training and 8 ECTS credits, you will obtain a university degree issued by the Catholic University of Murcia, which guarantees your new knowledge in this innovative technological area.

In addition, you will have complementary materials, personalized tutorials and a student guide that will help you follow the learning path effectively.

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Content

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Methodology

Entre el material entregado en este curso se adjunta un documento llamado Guía del Alumno dónde aparece un horario de tutorías telefónicas y una dirección de e-mail dónde podrá enviar sus consultas, dudas y ejercicios. La metodología a seguir es ir avanzando a lo largo del itinerario de aprendizaje online, que cuenta con una serie de temas y ejercicios. Para su evaluación, el alumno/a deberá completar todos los ejercicios propuestos en el curso. La titulación será remitida al alumno/a por correo una vez se haya comprobado que ha completado el itinerario de aprendizaje satisfactoriamente.

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What does it prepare you for?

This course in Digital Twins prepares you to apply digital twins in the simulation of manufacturing processes, integrate simultaneous engineering in the product life cycle, use process control and monitoring systems, implement industrial networks and manage computer-aided maintenance. You will acquire the necessary skills to tackle projects related to the optimization and improvement of industrial processes.

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Who is it aimed at?

This course in Digital Twins is aimed at engineering professionals interested in simulation and optimization of industrial processes. It is also suitable for those who wish to acquire knowledge in digital twins and their application in the product life cycle. No specific prior knowledge is required, although a background in engineering is recommended.

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Career opportunities

The career opportunities of this course in Digital Twins are simulation engineers in companies of various industrial sectors, consultants in engineering and process optimization, specialists in the implementation of control systems, and computer-aided maintenance managers. In addition, they may also find opportunities in software development companies.

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