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Text traduït
Aquesta assignatura s'imparteix en anglès. El pla docent en català és una traducció de l'anglès.
La traducció al català està actualitzada i és equivalent a l'original.
Si ho prefereixes, consulta la traducció!
Texto traducido
Esta asignatura se imparte en inglés. El plan docente en español es una traducción del inglés.
La traducción al español está actualizada y es equivalente al original.
Si lo prefieres, ¡consulta la traducción!
Original text
This subject is taught in English. The course guide was originally written in English.
Course
Automotive Engineering
Subject
Smart Industries
Type
Compulsory (CO)
Academic year
4
Credits
3.0
Semester
1st
| Group | Language of instruction | Teachers |
|---|---|---|
| G51, online, mornings | English | Jordi Escartín García |
Objectives
As the trend is moving toward highly individualised products under the conditions of highly flexibilised production, in Smart Industries course you'll know what's the reality behind Smart Industries, and you'll learn the main new concepts and elements taking part of the Smart Factory - Industry 4.0.
Learning outcomes
- LO4. Identifies and knows the main technologies of the Smart industries that are applied in the manufacture of vehicles.
- LO6. Poses and solves team problems.
- LO8. Critically analyses the results obtained.
- LO12. Analyses own knowledge of the field and its contextualisation in national and international environments.
- LO13. Identifies their own training needs in their field of study and work or professional environment and to organise their own learning with a high degree of autonomy in all types of contexts.
Competencies
Specific skills
- Know about and apply the principles of production systems and manufacturing processes, metrology and quality control and environmental and sustainability technology in engineering and the automotive sector.
Basic skills
- Students can communicate information, ideas, problems and solutions to both specialists and non-specialists.
Core skills
- Interact in international and worldwide contexts to identify needs and and new contexts for knowledge transfer to current and emerging fields of professional development, with the ability to adapt to and independently manage professional and research processes.
- Use oral, written and audiovisual forms of communication, in one's own language and in foreign languages, with a high standard of use, form and content.
Content
- Industry 4.0. Smart Factory
- Elements
- Big data
- Cloud computing
- Industrial robotics. Cobots
- AI
- IIoT
- Mobile
- 5G
- Virtual reality / Augmented reality
- Digital twin
- Additive manufacturing / 3D
- Blockchain (smart contracts)
- Nanotecnology
- Open source
Evaluation
- 40% - Homework / tech reports
- 5% - Participation in online class and virtual campus forums
- 10% - Continuous assessment of work
- 5% - Student reports
- 20% - Work deliverables
- 60% - Final exam (recovery available)
Methodology
The lecture is realized as an online class. Teaching will be realized with synchronous online sessions and online support. All teaching material and activities will be provided in the virtual classroom. The methodology during the academic year includes the following activities:
- Online master classes, to learn main concepts
- Practices and projects
Bibliography
Key references
- Fran Yáñez (2017). The 20 Key Technologies of Industry 4.0 and Smart Factories: The Road to the Digital Factory of the Future. Independently published (November 28, 2017).
Further reading
Teachers will provide complementary bibliography and compulsory reading throughout the course via the Virtual Campus.