There are no prerequisites for this subject within the Master's degree curriculum. However, it is recommended that the student feel familiar with the concepts of the following areas:
The syllabus to be developed in this subject assumes that the student feels comfortable with the terminology and subject matter listed above. It is assumed that said student has acquired said skills: (a) either by having taken the subjects directly related to said subjects in the study plans corresponding to the Degree in Computer Engineering; (b) or by the development of their professional activity.
In recent years we are witnessing a revolution in the way in which computer systems interact not only with people, but with the real world in general. Advances such as the miniaturization of components, wireless communication technologies, or the manufacture of increasingly sophisticated and affordable sensors / actuators, have made it possible for applications to escape from the desktop. Today, the use of embedded systems and devices (smartphones, tablets, etc.) is widespread to control and interact with all kinds of physical systems in our environment.
A market is developing around this way of conceiving modern computer systems that, according to all projections, will see its importance and weight increase in the ICT industry. Therefore, a growing demand for professionals with specific training is expected, who are capable of managing and applying new technologies in the company, opening the doors to new business opportunities.
In this context, the CPS (Cyber-Physical Systems) subject is presented as a training complement at an academic and professional level that aims to provide the skills demanded by the industry in the field of ubiquitous embedded systems, currently called cyber-physical systems.
Course competences | |
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Code | Description |
CE04 | Ability to model, design, architecture define, implement, manage, operate, administrate and maintain applications, networks, systems services and computer content. |
CE11 | Ability to design and develop systems, applications and computer services on embedded and ubiquitous systems. |
INS02 | Organising and planning skills. |
INS04 | Problem solving skills by the application of engineering techniques. |
INS05 | Argumentative skills to logically justify and explain decisions and opinions. |
PER01 | Team work abilities. |
SIS01 | Critical thinking. |
SIS03 | Autonomous learning. |
UCLM02 | Ability to use Information and Communication Technologies. |
UCLM03 | Accurate speaking and writing skills. |
Course learning outcomes | |
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Description | |
Learn different technological solutions for the design of applications based on embedded and ubiquitous systems | |
Know how to determine the embedded and ubiquitous system requirements in terms of hardware support, communications and system software | |
Understand the concept and the scope of embedded and ubiquitous systems | |
Additional outcomes | |
Not established. |
Training Activity | Methodology | Related Competences | ECTS | Hours | As | Com | Description | |
Class Attendance (theory) [ON-SITE] | Lectures | CE11 SIS01 | 0.6 | 15 | N | N | Explanation by the teacher of the theoretical concepts of the subject. The theoretical presentations will consist of video-lessons that can be followed in a blended way. In the case of not having video-lessons, the explanations will be transmitted by video-streaming and stored for later consultation by the student. Students will have on the teaching platform all the support slides used by the teacher. | |
Problem solving and/or case studies [ON-SITE] | Projects based learning | CE11 INS04 PER01 SIS01 SIS03 | 0.72 | 18 | Y | N | Presentation of a practical case related to the exposed topic and resolution by the students under the supervision of the teacher. | |
Computer room practice [ON-SITE] | Work with simulators | CE11 INS02 INS04 PER01 SIS01 SIS03 UCLM02 | 0.6 | 15 | Y | N | Implementation and evaluation of embedded systems presented in the theoretical classes. | |
Group tutoring sessions [ON-SITE] | Group tutoring sessions | CE11 SIS01 | 0.24 | 6 | N | N | Consult the teacher about the problems that have arisen during the development of the rest of the activities. | |
Study and Exam Preparation [OFF-SITE] | Self-study | CE11 INS02 SIS01 SIS03 UCLM02 | 1.8 | 45 | N | N | Review work at home of knowledge acquired in class. | |
Writing of reports or projects [OFF-SITE] | Cooperative / Collaborative Learning | INS02 INS05 PER01 SIS01 SIS03 UCLM03 | 1.2 | 30 | Y | N | On a weekly basis, students will reinforce what they have learned in face-to-face teaching by solving and delivering certain problems related to the content taught. | |
Study and Exam Preparation [OFF-SITE] | Self-study | CE11 INS02 INS04 INS05 PER01 SIS01 SIS03 UCLM02 UCLM03 | 0.6 | 15 | N | N | Preparation of laboratory practices. | |
Progress test [ON-SITE] | Assessment tests | CE11 INS04 INS05 PER01 SIS01 SIS03 UCLM03 | 0.24 | 6 | Y | N | Theoretical concepts will be assessed through progress tests. | |
Total: | 6 | 150 | ||||||
Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
Total credits of out of class work: 3.6 | Total hours of out of class work: 90 |
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
Assessment of problem solving and/or case studies | 40.00% | 40.00% | Resolution and delivery of various works and problems raised throughout the course. Master's Memory Keys: ESC |
Practicum and practical activities reports assessment | 30.00% | 30.00% | A global project will be carried out throughout the course, of which a descriptive report will be delivered and evaluated. Master's Memory Code: INF Keys Master's Report: LAB |
Assessment of activities done in the computer labs | 20.00% | 20.00% | Supervision of the activities carried out by the student in the computer laboratory. |
Oral presentations assessment | 10.00% | 10.00% | The global project will also be presented by oral presentation. Master's Report Code: PRES |
Total: | 100.00% | 100.00% |
Not related to the syllabus/contents | |
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Hours | hours |
Group tutoring sessions [PRESENCIAL][Group tutoring sessions] | 6 |
Progress test [PRESENCIAL][Assessment tests] | 6 |
Unit 1 (de 5): Introduction to cyber-physical systems | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] | 6 |
Unit 2 (de 5): Physical systems, modeling, and examples | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Projects based learning] | 4 |
Computer room practice [PRESENCIAL][Work with simulators] | 4 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Unit 3 (de 5): Sensors and data acquisition | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Projects based learning] | 4 |
Computer room practice [PRESENCIAL][Work with simulators] | 4 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Unit 4 (de 5): Actuators and control of the environment | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Projects based learning] | 4 |
Computer room practice [PRESENCIAL][Work with simulators] | 4 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Unit 5 (de 5): Distributed communications and processing | |
---|---|
Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Projects based learning] | 4 |
Computer room practice [PRESENCIAL][Work with simulators] | 4 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 8 |
Writing of reports or projects [AUTÓNOMA][Cooperative / Collaborative Learning] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Global activity | |
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Activities | hours |
Author(s) | Title | Book/Journal | Citv | Publishing house | ISBN | Year | Description | Link | Catálogo biblioteca |
---|---|---|---|---|---|---|---|---|---|
Alur, Rajeev (1966-) | Principles of cyber-physical systems | MIT Press, | 978-0-262-02911-7 | 2015 |
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Dogan Ibrahim | Microcontroller based Applied Digital Control | John Wiley & Sons | 978-0-470-86335-0 | 2006 | sección 1.7 (sensores en sistemas de control); sección 2 (modelado de sistemas) | ||||
Edward A. Lee and Sanjit A. Seshia | Introduction to Embedded Systems, A Cyber-Physical Systems Approach | UC Berkeley | 978-0-557-70857-4 | 2011 | http://LeeSeshia.org | ||||
Karl Johan Astrom and Richard M, Murray | Feedback Systems: An introduction for scientists and enginners | Princeton University Press | 978-0-691-13576-2 | 2012 | www.cds.caltech.edu/~murray/amwiki/index.php/Main_Page | ||||
M. Sam Fadali | Digital Control Engineering | Academic Press (Elsevier) | 978-0-12-374498-2 | 2009 | |||||
Ogata, Katsuhiko | Ingeniería de control moderna | Pearson-Prentice Hall | 978-84-8322-660-5 | 2010 |
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Rafael Casado | Sistemas Ciberfísicos | UCLM | Diapositivas y vídeos de la asignatura | https://campusvirtual.uclm.es/ | |||||
Taha, Walid M. ; Taha, Abd-Elhamid M. ; Thunberg, Johan | Cyber-Physical Systems: A Model-Based Approach | DOI: 10.1007/978-3-030-36071-9 | Springer Nature | 978-3-030-36071-9 | 2021 | eBook | https://library.oapen.org/bitstream/20.500.12657/41754/1/2021_Book_Cyber-PhysicalSystemsAModel-Ba.pdf |