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Start   >  Master's & postgraduate courses  >  Education  >  Postgraduate course in Modeling and Simulation in Industry 4.0
Information session

03-07-2024

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    BENEFIT FROM SPECIAL TERMS ON REGISTRATION BEFORE JULY 1!

    ASK YOUR PROGRAM ADVISOR!

relation
This postgraduate course is also part of the training track for the continuing education master's degree in Industry 4.0. Digitalization and Applied AI.

Presentation

Edition
4th Edition
Credits
24 ECTS (195 teaching hours)
Delivery
Online
Language of instruction
Spanish
Fee
€4,500
Special conditions on payment of enrolment fee and 0,7% campaign
Take advantage of the special enrollment conditions in this admission round! Complete your enrollment by July 1. Ask your Program Advisor!.
Start date
Start date: 18/10/2024
End date: 22/03/2025
Timetable
Friday: 4:00 pm to 9:00 pm
Saturday: 9:00 am to 2:00 pm
Taught at
Online
Why this postgraduate course?
Modelling enables physical objects to be transferred to the digital world, and simulation techniques used to create "Digital Twins," which are used in high-speed experiments with no physical risk, as well as providing educational, training and support environments for operations through augmented reality and automatic learning (Machine Learning). These can be combined with elements of process modelling, creating a digital value chain. Both the physical world and the simulated world are sources for the generation of large volumes of data (Big Data).

Industry 4.0 is the body of knowledge formulated by the Fourth Industrial Revolution - the result of the combination between the physical and digital world. Its inevitability is the result of the constant increase in customised demand from markets, which is forcing companies to rethink their production and logistics systems.

The worlds of IT and OT have existed side by side, sharing limited spheres of interaction, and following parallel lives. The demand for cyberphysical systems means that walls that have been in place for decades must be demolished, leading to "IT/OT convergence", which is one of the major challenges posed by Industry 4.0. The figure of the CDO (Chief Digital Officer), also known as the Head of Digital Transformation, is an emerging hybrid professional profile in today's organisation charts. A cross-sectoral approach is one of the motifs of the contemporary world, and Industry 4.0, and Fortune magazine highlights the unstoppable nature of the demand for hybrid professional profiles (Hybrid Jobs).

The main objective of the programme is to train professionals to be able to understand the difficulties and complexities of the world of Industry 4.0 in a cross-disciplinary manner from the physical world to the digital world, applying simulation as a basic tool in the process. The participants will obtain the knowledge necessary to develop cybernetic system models for Industry 4.0 and Digital Twins.
Aims
  • Understand the problems of Industry 4.0 and digital transformation processes.
  • Practice with cutting-edge simulation tools.
  • Create "Digital Twins" for industrial elements and processes.
  • Use 3D modelling systems.
  • Identify the most appropriate automatic learning models and the statistical and operational Research techniques for a specific problem.
  • Be able to perform pre-processing of data and identify Big Data approaches.
  • Use systems modelling and statistical validation systems and tools and be able to verify and validate the proposed models.
Who is it for?
  • Operations Technology Professionals wishing to enhance their IT knowledge base in the field of data processing, modelling and simulation for Industry 4.0.
  • Information Technologies Professionals wishing to acquire knowledge of the OT world of industrial process modelling.
  • Graduates in engineering (computer, telecommunications, industrial, agricultural, civil engineering, etc.), physics, mathematics and statistics.

Training Content

List of subjects
3 ECTS 18h
i40 Reference Architectures and 3D Modeling
4 ECTS 33h
Digital Twins and 3D Models
3 ECTS 18h
Industry 4.0, Fundamentals
3 ECTS 35h
Industry 4.0, Statistics and Data Management
2 ECTS 12h
Simulation, Basics and Applications
4 ECTS 32h
Simulation, Basic Modeling and Programming
2 ECTS 12h
Introduction to Modeling
3 ECTS 35h
Modeling,and Cybersecurity
The UPC School reserves the right to modify the contents of the programme, which may vary in order to better accommodate the course objectives.
Degree
Postgraduate qualification in Modeling and Simulation in Industry 4.0, issued by the Universitat Politècnica de Catalunya. Issued by virtue of the provisions of art. 7.1 of Organic Law 2/2023 of 22 March, concerning the University System, and art. 36 of Royal Decree 822/2021 of 28 September, which establishes the organisation of university education and the procedure for ensuring its quality. A prior official university qualification is necessary to obtain it. Otherwise, the student will receive a certificate of completion of the programme issued by the Fundació Politècnica de Catalunya. Lifelong learning studies at the Universitat Politècnica de Catalunya are approved by the University's Governing Council on an annual basis. (See details appearing on the certificate).
Range of modules
This postgraduate course is part of the training track for the continuing education master's degree in Industry 4.0. Digitalization and Applied AI .
The continuing education master's degree programme is organized into the following modules. If you don't wish to take the entire continuing education master's degree you can sign on one or several modules.
Continuing education master's degree:
relation Postgraduate courses:

Learning methodology

The teaching methodology of the programme facilitates the student's learning and the achievement of the necessary competences.



Learning tools
Participatory lectures
A presentation of the conceptual foundations of the content to be taught, promoting interaction with the students to guide them in their learning of the different contents and the development of the established competences.
Practical classroom sessions
Knowledge is applied to a real or hypothetical environment, where specific aspects are identified and worked on to facilitate understanding, with the support from teaching staff.
Solving exercises
Solutions are worked on by practising routines, applying formulas and algorithms, and procedures are followed for transforming the available information and interpreting the results.
Case studies
Real or hypothetical situations are presented in which the students, in a completely participatory and practical way, examine the situation, consider the various hypotheses and share their own conclusions.
Success stories
Outstanding business knowledge and experiences with high added value acquired during an outstanding professional career are presented and shared.
Problem-based learning (PBL)
An active learning methodology that enables the student to be involved from the beginning, and to acquire knowledge and skills by considering and resolving complex problems and situations.
Flipped classroom
The contents are prepared prior to the face-to-face lessons. Practical sessions take place in the classroom, which enable understanding and application of concepts to real cases and the expansion of knowledge with more technical and specialised details.
Tutorship
Students are given technical support in the preparation of the final project, according to their specialisation and the subject matter of the project.
Workshops
Students are supported when undertaking group work, including theoretical sessions which provide the tools and knowledge needed to achieve a result. Ideas and results are exchanged between all the participating groups.
Assessment criteria
Attendance
At least 80% attendance of teaching hours is required.
Level of participation
The student's active contribution to the various activities offered by the teaching team is assessed.
Solving exercises, questionnaires or exams
Individual tests aimed at assessing the degree of learning and the acquisition of competences.
Work out projects
Studies on a specific topic, by individuals or groups, in which the quality and depth of the work is assessed, among other factors.
Work placements & employment service
Students can access job offers in their field of specialisation on the My_Tech_Space virtual campus. Applications made from this site will be treated confidentially. Hundreds of offers of the UPC School of Professional & Executive Development employment service appear annually. The offers range from formal contracts to work placement agreements.
Virtual campus
The students on this postgraduate course will have access to the My_ Tech_Space virtual campus - an effective platform for work and communication between the course's students, lecturers, directors and coordinators. My_Tech_Space provides the documentation for each training session before it starts, and enables students to work as a team, consult lecturers, check notes, etc.

Teaching team

Academic management
  • Fonseca Casas, Pau
    info
    View profile in futur.upc / View profile in Linkedin
    Doctor at Statistics and Operative Investigation for the Universitat Politècnica de Catalunya (UPC). Teacher of the UPC where imparts teaching at the area of Simulation, the treatment of data, the Operative Investigation and the Statistics. He¿s Responsible of the Area of Environmental Simulation of the inLab FIB leading projects of simulation linked predominately at industrial and environmental areas. He¿s member of the Commission 4.0 of the Industry of Engineers of Catalonia.
  • Pi i Palomés, Xavier
    info
    View profile in Linkedin
    Industrial Engineer from the Polytechnic University of Catalonia (UPC), judicial expert in Industrial Computing and ICT, has taught Software Engineering at the Faculty of Informatics of Barcelona (FIB-UPC) and at the Open University of Catalonia (UOC). He is a member of the Industry 4.0 Commission of Engineers of Catalonia (www.comissioindustria40.cat), responsible for the Diagnostic 4.0 Working Group (www.diagnostic40.com) of the aforementioned commission.
Teaching staff
  • Fonseca Casas, Antoni
    info
    View profile in Linkedin
    PhD Architect by the UPC of Barcelona. Specialized in energy optimization and sustainability. It has the Professional Accreditation Diploma and Project Experience of the Leed International certification. Postgraduate degree AECEI C ++ and SQL programming. Quality management certification diploma ISO 9001: 2008. Postgraduate specialization 'Rehabilitation in building', by the UPM. Training in Prevention and Occupational Risks - Safety and health, by the UPC. Collaborator in several universities as researcher and teacher.
  • Fonseca Casas, Pau
    info
    View profile in futur.upc / View profile in Linkedin
    Doctor at Statistics and Operative Investigation for the Universitat Politècnica de Catalunya (UPC). Teacher of the UPC where imparts teaching at the area of Simulation, the treatment of data, the Operative Investigation and the Statistics. He¿s Responsible of the Area of Environmental Simulation of the inLab FIB leading projects of simulation linked predominately at industrial and environmental areas. He¿s member of the Commission 4.0 of the Industry of Engineers of Catalonia.
  • Gibert Oliveras, Karina
    info
    View profile in futur.upc
    PhD in Computer Science and professor of data science and artificial intelligence at the Universitat Politècnica de Catalunya (UPC). Director and co-founder of the Intelligent Data Science & Artificial Intelligence Research Center (IDEAI-UPC). Dean of the Official College of Computer Engineering of Catalonia.
    She teaches Multivariate Statistics and Data Science, Computer Engineering, Artificial Intelligence, AI Ethics, Sustainability in degrees and master's degrees at the UPC and its associated doctoral programs. It also provides professional training in Industry 4.0, digital transformation and eHealth at UPC School, among others. Advisor to the Catalan and Spanish governments and the European Commission on AI ethics and digital transformation.
  • Montero Mercadé, Lídia
    info
    View profile in futur.upc / View profile in Linkedin
    PhD in Computer Science from the Technical University of Catalonia (UPC). Degree in Computer Science from the FIB-UPC. Professor of Statistics and Operations Research at the UPC since 1998. She teaches on the Master's Degree in Supply Chain, Transport and Mobility at the UPC. Senior Consultant at Advanced Logistics Group (SANO). Experience of more than 25 years in simulation and modelling of problems in public and private transport networks. Transport analytics (data science applied to mobility and transport data) and modelling of transport demand. Collaborator with inLab-UPC.
  • Muñoz Tapia, Jose Luis
    info
    View profile in futur.upc / View profile in Linkedin
    PhD in Telecommunications Engineering from the Technical University of Catalonia (UPC) and professor in the Department of Telematics Engineering at the UPC. His research work is focused on the field of network security, cryptography and the development of secure applications. In this area, he is co-author of dozens of articles in journals and conferences.
  • Pi i Palomés, Xavier
    info
    View profile in Linkedin
    Industrial Engineer from the Polytechnic University of Catalonia (UPC), judicial expert in Industrial Computing and ICT, has taught Software Engineering at the Faculty of Informatics of Barcelona (FIB-UPC) and at the Open University of Catalonia (UOC). He is a member of the Industry 4.0 Commission of Engineers of Catalonia (www.comissioindustria40.cat), responsible for the Diagnostic 4.0 Working Group (www.diagnostic40.com) of the aforementioned commission.

Associates entities

Collaborating partners

Career opportunities

  • Chief Digitalization Officer.
  • Chief Information Officer (Industrial).
  • Chief Data Officer (Analyst / Manager of industrial data).
  • Expert in simulation of industrial processes.
  • Expert in robotics and IoT.

Request information or admission

Contact:
Yolanda Moreno Sanchez
610548181
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How to start admission
To start the enrolment process for this programme you must complete and send the form that you will find at the bottom of these lines.

Next you will receive a welcome email detailing the three steps necessary to formalize the enrolment procedure:

1. Complete and confirm your personal details.

2. Validate your curriculum vitae and attach any additional required documentation, whenever this is necessary for admission.

3. Pay €110 in concept of the registration fee for the programme. This fee will be discounted from the total enrolment fee and will only be returned when a student isn't admitted on a programme.

Once the fee has been paid and we have all your documentation, we will assess your candidacy and, if you are admitted on the course, we will send you a letter of acceptance. This document will provide you with all the necessary information to formalize the enrolment process for the programme.




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