Checking date: 14/04/2023

Course: 2023/2024

Master in Connected Industry 4.0 (Plan: 426 - Estudio: 357)


Department assigned to the subject: Telematic Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
All courses from the first term
BASIC COMPETENCES CB6 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context 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 CG2 Ability to model, identify basic requirements and analyze various processes. CG4 Knowledge and understanding of the management principles applicable to productive and service environments. CG7 Be able to generate new ideas (creativity) and to anticipate change. CG8 Use skills for teamwork and to relate to others autonomously. SPECIFIC COMPETENCES CE14 Ability to apply the knowledge and skills acquired in the Master in real environments within the Practices in Business LEARNING RESULTS At the end of the subject, the student must: - Know the business environment and / or technology development laboratories of Connected Industry 4.0. - Apply the knowledge and skills acquired in the Master in real environments.
Skills and learning outcomes
Description of contents: programme
The internship will be held in companies or laboratories of recognized prestige in topics related to the Connected Industry 4.0. To determine each year.
Learning activities and methodology
AF7 Individual work by the student Activity Code Num. Total hours Num. Presential hours % Student Presence AF7 150 120 80% TOTAL 150 120 80% TEACHING METHODOLOGIES MD5 Writing reports and memorandum individually or within a workgroup MD6 In-company internship either in enterprises or in prestigious laboratories
Assessment System
SE4 Report on the work along the internship Assessment System Minimum Weight (%) maximum Weight (%) SE4 100 100

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