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 | |
|---|---|
| Code | Description |
| 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. |
| CB04 | Transmit information, ideas, problems and solutions for both specialist and non-specialist audiences. |
| CB05 | Have developed the necessary learning abilities to carry on studying autonomously |
| CEO18 | Ability to design and programme discrete signal acquisition and conditioning systems. |
| CG03 | Knowledge of basic and technological subjects to facilitate learning of new methods and theories, and provide versatility to adapt to new situations. |
| CG04 | Ability to solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of industrial engineering. |
| CG05 | Knowledge required to carry out measurements, calculations, valuations, appraisals, valuations, surveys, studies, reports, work plans and other similar work. |
| CG06 | Ability to handle specifications, regulations and mandatory standards. |
| CG07 | Ability to analyse and assess the social and environmental impact of technical solutions. |
| CG08 | Ability to apply quality principles and methods. |
| CG09 | Organisational and planning skills in the field of companies and other institutions and organisations. |
| CG10 | Capacity to work in a multilingual and multidisciplinary environment. |
| CT02 | Knowledge and application of information and communication technology. |
| CT03 | Ability to communicate correctly in both spoken and written form. |
| Course learning outcomes | |
|---|---|
| Description | |
| Knowledge of discrete time signals and their frequency characteristics. | |
| Knowledge of discrete signal acquisition and the effects of sampling continuous signals. | |
| Ability to design filters for noisy signal conditioning. | |
| Additional outcomes | |
| Description | |
-
Unit 1: Signals and Systems
-
Unit 2: Fourier Analysis
-
Unit 3: Sampling
-
Unit 4: Z-Transform
-
Unit 5: Discrete Fourier Transform
-
Unit 6: Fast Fourier Transform
-
Unit 7: FIR filter design
-
Unit 8: IIR filter design
-
Unit 9: Digital Signal Processors
| Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
| Class Attendance (theory) [ON-SITE] | Lectures | CEO18 CG03 CG04 CG05 CG07 | 1.2 | 30 | N | N | ||
| Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | CB03 CEO18 CG04 | 0.52 | 13 | N | N | ||
| Computer room practice [ON-SITE] | Practical or hands-on activities | CB01 CEO18 CG03 CG04 CT02 | 0.6 | 15 | Y | Y | ||
| Practicum and practical activities report writing or preparation [OFF-SITE] | Practical or hands-on activities | CB03 CB04 CB05 CG03 CG04 CG06 CG10 CT02 CT03 | 1.8 | 45 | Y | Y | ||
| Study and Exam Preparation [OFF-SITE] | Self-study | CB01 CB02 CB05 CEO18 CG03 CG04 CG05 CG06 CG07 CG08 CG09 CG10 CT02 | 1.8 | 45 | N | N | ||
| Final test [ON-SITE] | Assessment tests | CB02 CEO18 CG03 CG04 | 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 |
| 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 | 50.00% | 50.00% | |
| Total: | 100.00% | 100.00% |
-
Continuous assessment:To pass the subject, the student must:
* attend all the practical activities and deliver the reports for each activity, which must be evaluated as satisfactory.
* pass the final exam with a mark of 5.0 or superior.
The subject mark will be the weighted mean of the evaluation activities according to the above table. -
Non-continuous evaluation:Evaluation criteria not defined
The student must retake the final exam if it was failed in the previous evaluation.
The subject mark will be the weighted mean of the evaluation activities according to the above table.
| Not related to the syllabus/contents | |
|---|---|
| Hours | hours |
| Class Attendance (theory) [PRESENCIAL][Lectures] | 30 |
| Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 13 |
| Computer room practice [PRESENCIAL][Practical or hands-on activities] | 15 |
| Practicum and practical activities report writing or preparation [AUTÓNOMA][Practical or hands-on activities] | 45 |
| Study and Exam Preparation [AUTÓNOMA][Self-study] | 45 |
| Final test [PRESENCIAL][Assessment tests] | 2 |
| Global activity | |
|---|---|
| Activities | hours |