Mathematical background: algebra, calculus, statistics, differential equations and complex variable.
Signals and systems background: It is recommended to have previously studied Automatic Control and Discrete Control subjects in order to have some knowledge on continuous and discrete signals and systems, Laplace, Fourier and Z transforms, frequency domain and system stability.
Main objective of the degree is training competitive industrial engineers with the ability to design and develop: industrial products, machines, mechanisms, vehicles, structures and thermomechanical and hydraulic facilities (among others); and with the ability to collaborate with professionals of affine technologies within multidisciplinary teams, providing the engineer with the aptitude to take technological decisions according to cost, quality, safety, efficiency and environment criteria.
Industrial Engineers are professionals that use the knowledge from science, mathematics and engineering techniques to perform their professional activity within fields such as control, instrumentation and process and machine automation, as well as the design, construction, management and maintenance of industrial products.
Within the aforementioned knowledge, signal processing provides the student with abilities in instrumentation and conditioning of noisy signals, frequently found in telecommunication, control and process automation systems. Hence, it is a multidisciplinary application tool of a great practical interest for these professionals.
Course competences | |
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Code | Description |
A02 | To know how to apply knowledge to work or vocation in a professional manner and possess the competences that are usually demonstrated by the formulation and defence of arguments and the resolution of problems in the field of study. |
A04 | To be able to transmit information, ideas, problems and solutions to a specialized audience. |
A05 | To have developed the learning skills necessary to undertake subsequent studies with a greater degree of autonomy. |
A07 | Knowledge of Information Technology and Communication (ITC). |
A08 | Appropriate level of oral and written communication. |
A12 | Knowledge of basic materials and technologies that assist the learning of new methods and theories and enable versatility to adapt to new situations. |
A13 | Ability to take the initiative to solve problems, take decisions, creativity, critical reasoning and ability to communicate and transmit knowledge, skills and abilities in Industrial Electronic Engineering and Automation. |
CB01 | Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge. |
CB02 | Apply their knowledge to their job or vocation in a professional manner and show that they have the competences to construct and justify arguments and solve problems within their subject area. |
CB03 | Be able to gather and process relevant information (usually within their subject area) to give opinions, including reflections on relevant social, scientific or ethical issues. |
E11 | Knowledge of electronic communications and modes of transmission. Knowledge of telematics. |
Course learning outcomes | |
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Description | |
Ability to design, configure and calibrate systems of control, measurement and acquisition of data using the environment of computer based graphics | |
Additional outcomes | |
Description | |
Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
Class Attendance (theory) [ON-SITE] | Lectures | A12 E11 | 1.12 | 28 | N | N | ||
Problem solving and/or case studies [ON-SITE] | Project/Problem Based Learning (PBL) | A13 | 0.64 | 16 | N | N | ||
Computer room practice [ON-SITE] | Practical or hands-on activities | A07 A12 A13 CB01 | 0.56 | 14 | Y | Y | ||
Practicum and practical activities report writing or preparation [OFF-SITE] | Practical or hands-on activities | A04 A05 A08 A13 CB03 | 1.8 | 45 | Y | Y | ||
Study and Exam Preparation [OFF-SITE] | Self-study | A05 A07 A12 A13 CB01 CB02 CB05 | 1.8 | 45 | N | N | ||
Final test [ON-SITE] | Assessment tests | A02 A12 A13 | 0.08 | 2 | Y | Y | ||
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 |
Practicum and practical activities reports assessment | 50.00% | 0.00% | Each activity will evaluated by means of a report |
Final test | 50.00% | 50.00% | It will consist of theorical questions and problems on the concepts studied in the subject |
Assessment of activities done in the computer labs | 0.00% | 50.00% | |
Total: | 100.00% | 100.00% |
Not related to the syllabus/contents | |
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Hours | hours |
Final test [PRESENCIAL][Assessment tests] | 2 |
Unit 1 (de 9): Signals and Systems | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 2 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 3 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 8 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 3 |
Group 20: | |
Initial date: 05-09-2022 | End date: 16-09-2022 |
Group 21: | |
Initial date: 05-09-2022 | End date: 16-09-2022 |
Unit 2 (de 9): Fourier Analysis | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 2 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 2 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Group 20: | |
Initial date: 19-09-2022 | End date: 30-09-2022 |
Group 21: | |
Initial date: 19-09-2022 | End date: 30-09-2022 |
Unit 3 (de 9): Sampling | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 6 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 3 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 3 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 12 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 9 |
Group 20: | |
Initial date: 03-10-2022 | End date: 21-10-2022 |
Group 21: | |
Initial date: 03-10-2022 | End date: 21-10-2022 |
Unit 4 (de 9): Z-Transform | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 1 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Group 20: | |
Initial date: 21-10-2022 | End date: 24-10-2022 |
Group 21: | |
Initial date: 21-10-2022 | End date: 24-10-2022 |
Unit 5 (de 9): Discrete Fourier Transform | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 2 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 2 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 7 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 7 |
Group 20: | |
Initial date: 28-10-2022 | End date: 07-11-2022 |
Group 21: | |
Initial date: 28-10-2022 | End date: 07-11-2022 |
Unit 6 (de 9): Fast Fourier Transform | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 1 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 3 |
Group 20: | |
Initial date: 11-11-2022 | End date: 14-11-2022 |
Group 21: | |
Initial date: 11-11-2022 | End date: 14-11-2022 |
Unit 7 (de 9): FIR filter design | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 2 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 2 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 5 |
Group 20: | |
Initial date: 14-11-2022 | End date: 25-11-2022 |
Group 21: | |
Initial date: 14-11-2022 | End date: 25-11-2022 |
Unit 8 (de 9): IIR filter design | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 2 |
Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 6 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 6 |
Group 20: | |
Initial date: 25-11-2022 | End date: 05-12-2022 |
Group 21: | |
Initial date: 25-11-2022 | End date: 05-12-2022 |
Unit 9 (de 9): Digital Signal Processors | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] | 1 |
Computer room practice [PRESENCIAL][Practical or hands-on activities] | 2 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 4 |
Group 20: | |
Initial date: 09-12-2022 | End date: 16-12-2022 |
Group 21: | |
Initial date: 09-12-2022 | End date: 16-12-2022 |
Global activity | |
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Activities | hours |