Checking date: 25/04/2024


Course: 2024/2025

Models and Structures of IC4.0
(18034)
Master in Connected Industry 4.0 (Plan: 426 - Estudio: 357)
EPI


Coordinating teacher: BARBER CASTAÑO, RAMON IGNACIO

Department assigned to the subject: Systems Engineering and Automation Department

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
It is an introductory course to the Master, so all those admitted (according to the Master's regulations) may take it.
Objectives
BASIC COMPETENCE CB7 That students know how to apply the knowledge acquired and their ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study CB8 That students are able to integrate knowledge and face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments CB9 That students know how to communicate their conclusions and the knowledge and ultimate reasons that sustain them to specialized and non-specialized audiences in a clear and unambiguous way CB10 That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous GENERAL COMPETENCES CG1 Knowledge and understanding of the theoretical foundations of both industrial processes and services, and communications. CG2 Ability to model, identify basic requirements and analyze various processes. CG6 Capacity to adapt to changes in requirements associated with new products, new specifications and environments. SPECIFIC COMPETENCES CE1 Ability to design automatic process systems (production machinery, transport and storage systems and quality control) and the interconnection between their different modules (industrial protocols) CE3 Ability to program and simulate robot control systems at high, intermediate and low levels CE5 Ability to know and understand the structure of networks and protocols involved in distributed applications and IoT / M2M environments LEARNING RESULTS After studying this subject the student will be able to: - Identify the models and reference structures of the Connected Industry 4.0, its component parts and interconnection. - Identify and know the industrial production technologies involved in the Connected Industry 4.0. - Identify and know the communication protocols applied to the Connected Industry 4.0. Skills of selection, design and application of general communications and their protocols.
Skills and learning outcomes
Description of contents: programme
Common themes of the subjects: - Discrete and continuous systems - Dynamic systems modelling - Temporary and frequency responses of systems - Fundamentals of systems programming - Systems simulation tools Specific themes of the subjects: Models and structures of IC4.0: - Definitions of CI4.0 - Main objectives of CI4.0 - Sustainable Production in IC4.0 - Main structures of CI4.0 - Organizational models of CI4.0 - Main applications and examples of CI4.0
Learning activities and methodology
TRAINING ACTIVITIES OF THE CURRICULUM REFERRED TO SUBJECTS AF1 Theoretical class AF2 Practical classes AF4 Laboratory practices AF5 Tutorials AF6 Group work AF7 Individual student work AF8 Midterm and final exams Code activity No. Total hours No. In-person hours % In-person attendance Student AF1 36 36 100 AF2 18 18 100 AF4 9 9 100 AF5 6 6 100 AF6 75 0 0 AF7 75 0 0 AF8 6 6 100 TOTAL MATTER 225 75 33% TEACHING METHODOLOGIES MD1 Presentations in class by the teacher with the support of computer and audiovisual media, in which the main concepts of the subject are developed and bibliography is provided to complement the students' learning. MD3 Resolution of practical cases, problems, etc. posed by the teacher individually or in groups MD4 Presentation and discussion in class, under the teacher's moderation, of topics related to the content of the subject, as well as practical cases MD5 Preparation of work and reports individually or in groups
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60




Basic Bibliography
  • Karsten Schweichhart. Reference Architectural Model Industrie 4.0 (RAMI 4.0). https://ec.europa.eu/futurium/en/system/files/ged/a2-schweichhart-reference_architectural_model_industrie_4.0_rami_4.0.pdf. 2018
  • Shi-Wan Lin et al.. Architecture Alignment and Interoperability. An Industrial Internet Consortium and Plattform Industrie 4.0 Joint Whitepaper. Architecture Alignment and Interoperability An Industrial Internet Consortium and Plattform Industrie 4.0 Joint Whitepaper. 2017

The course syllabus may change due academic events or other reasons.