Checking date: 31/05/2022

Course: 2022/2023

Smart Factories
Study: M. Applied Artificial Intelligence (378)


Department assigned to the subject: Systems Engineering and Automation Department

Type: Electives
ECTS Credits: 3.0 ECTS


The objectives of the subject are: - Acquire basic knowledge of the theoretical foundations of both industrial and service processes, as well as communications. - Acquire the ability to model, identify basic requirements and analyze various processes. This objective will be achieved through the virtual design of automatic process systems (production machinery, transport and storage systems and quality control), the interconnection between its different modules (industrial protocols) and intelligent control. - Apply AI technologies to adapt to changes in requirements associated with new products, new specifications and environments LEARNING RESULT After completing this subject matter, the student will be able to: - Design a digital Smart Factory - Use distributed industrial communications - Manage the production and the supply with IA
Skills and learning outcomes
Description of contents: programme
1) Smart Factories models and structures: - Definitions. - Fundamental objectives - Main structures - Organizational models - Main applications and examples 2) Industrial production technologies: - Structures of production systems - Industrial sensors and actuators - Industrial communications - Control of industrial systems 3)Virtual design of automated systems 4) Application of artificial intelligence in production systems
Learning activities and methodology
1) Theoretical and practical classes will be held so that the student applies the concepts explained 2) The concepts explained will be put into practice through a personalized individual work 3) Tutorials will be held at the request of the student
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Calendar of Continuous assessment

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

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