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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | SUPERVISION AND ROBOTICS | Code | 01737109 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
3 | Compulsory | First | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | ING.ELECTR.DE SIST. Y AUTOMATI |
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Coordinador |
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amora@unileon.es vmato@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | ||||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Topic | Sub-topic |
Industrial supervision | 1. Industrial monitoring architectures. 2. Data acquisition and processing. 3. HMI (Human Machine Interface) interfaces. 4. SCADA systems. 5. Cybersecurity in SCADA. |
Robotics | 6. Service robotics. 7. Collaborative Robotics (Human - Robot Interaction) 8. Cybersecurity of robotic systems. 9. AI for robotic systems 10. Application of robotics in the pharmaceutical industry |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Laboratory practicals | 9 | 0 | 9 | ||||||
Seminars | 0.5 | 0 | 0.5 | ||||||
Problem solving, classroom exercises | 3 | 0 | 3 | ||||||
Presentations / expositions | 1 | 0 | 1 | ||||||
Assignments | 5 | 0 | 5 | ||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 2.5 | 0 | 2.5 | ||||||
Lecture | 6 | 48 | 54 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Description | |
Laboratory practicals | Groups with a reduced number of students will be created to carry out laboratory practices. The students will have at their disposal documentation and the necessary material for the development of the practices. In this way, with the clarifications made by the professor, the student will be able to perform the practical work. |
Seminars | There will be an oral presentation of some specific aspect of the subject of the course, focusing on the concepts dealt with in the course. |
Problem solving, classroom exercises | Exercises of different complexity are solved, performing all the steps on the blackboard or on the projector. In addition, exercises will be proposed to be solved by the students. Real concrete cases will be studied as examples. |
Presentations / expositions | Activities in which the student demonstrates the knowledge, competencies and skills they have developed throughout the course. |
Assignments | Activities in which the student demonstrates the knowledge, competencies and skills they have developed throughout the course. |
Practicals using information and communication technologies (ICTs) in computer rooms | In order to reinforce the theoretical concepts acquired and optimize resources, the emerging technologies of remote laboratories will be used to access different real industrial systems. This will provide the student with a higher level of abstraction. |
Lecture | Each topic is presented using existing audiovisual resources (projector, computer equipment, etc.). The concepts are justified and their application to concrete cases is shown. The student is motivated to participate actively with questions and answers, as well as the raising of questions and their resolution. |
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Description | Qualification | ||
Presentations / expositions | Reports submitted. Evaluation of the activities carried out using ICT to record, as much as possible, the work done by the student. | 20% | |
Lecture | Continuous and final assessment exams. | 60% | |
Laboratory practicals | The submission and/or presentation of reports related to the practical contents carried out in the laboratories is evaluated. | 20% | |
Other comments and second call | |||
The evaluation of the lecture session will be carried out by means of a written questionnaire. In order to pass the course it is necessary to pass both the theoretical and practical parts. Grades will not be kept between sessions. Computer programs for copy detection may be used. |
Basic | |
Mandado, E., Marcos. J., Fernandez, C., Armesto, J.I., Perez, S. (2005). Autómatas Programables, entorno y aplicaciones. Balcells, Joseph and José L. Romeral (1997). Autómatas Programables. Marcombo. Boyer, Stuart A. SCADA : supervisory control and data acquisition Siemens. WinCC V7.2 SIMATIC HMI WinCC V7.2 Getting Started Siemens. SIMATIC. Working with STEP 7 José Miguel Molina Martínez, Manuel Jiménez Buendía (2010). Programación gráfica para ingenieros. Marcombo. |
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Complementary | |
LABORATORIO REMOTO DE AUTOMÁTICA: http://lra.unileon.es COMITÉ ESPAÑOL DE AUTOMÁTICA: http://www.cea-ifac.es INTERNACIONAL FEDERATION OF AUTOMATIC CONTROL: www.ifac-control.org/ IEEE CONTROL SYSTEMS SOCIETY: http://www.ieee.org/ |