Guías Docentes Electrónicas
1. General information
Course:
SIGNAL PROCESSING
Code:
56517
Type:
ELECTIVE
ECTS credits:
6
Degree:
359 - UNDERGRAD. IN INDUSTRIAL ELECTRONICS AND AUTOMAT. ENGINEERING (CR)
Academic year:
2020-21
Center:
602 - E.T.S. INDUSTRIAL ENGINEERING OF C. REAL
Group(s):
20  21 
Year:
4
Duration:
First semester
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: FRANCISCO RAMOS DE LA FLOR - Group(s): 20  21 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-C02
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
francisco.ramos@uclm.es

Lecturer: PEDRO LUIS RONCERO SANCHEZ-ELIPE - Group(s): 20  21 
Building/Office
Department
Phone number
Email
Office hours
Edificio Politécnico, 2-D03
INGENIERÍA ELÉCTRICA, ELECTRÓNICA, AUTOMÁTICA Y COMUNICACIONES
Vía Teams
pedro.roncero@uclm.es

2. Pre-Requisites

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.

3. Justification in the curriculum, relation to other subjects and to the profession

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.


4. Degree competences achieved in this course
Course competences
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.
5. Objectives or Learning Outcomes
Course learning outcomes
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
6. Units / Contents
  • 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: Advanced filters
  • Unit 10: Digital Signal Processors
7. Activities, Units/Modules and Methodology
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).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Laboratory sessions 10.00% 50.00% This mark depends on teh correct develpment of the activities by the student
Practicum and practical activities reports assessment 40.00% 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
Total: 100.00% 100.00%  
According to art. 4 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 12.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • 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

Specifications for the resit/retake exam:
The student must re-write the activity reports that were evaluated as unsatisfactory in the previous evaluation.
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.
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Final test [PRESENCIAL][Assessment tests] 2

Unit 1 (de 10): Signals and Systems
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: 09/09/2019 End date: 19-09-2019
Group 21:
Initial date: 09/09/2019 End date: 19-09-2019

Unit 2 (de 10): Fourier Analysis
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: 19-09-2019 End date: 26-09-2019
Group 21:
Initial date: 19-09-2019 End date: 26-09-2019

Unit 3 (de 10): Sampling
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
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: 30-09-2019 End date: 10-10-2019
Group 21:
Initial date: 30-09-2019 End date: 10-10-2019

Unit 4 (de 10): Z-Transform
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: 17-10-2019 End date: 21-10-2019
Group 21:
Initial date: 17-10-2019 End date: 21-10-2019

Unit 5 (de 10): Discrete Fourier Transform
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: 21-10-2019 End date: 04-11-2019
Group 21:
Initial date: 21-10-2019 End date: 04-11-2019

Unit 6 (de 10): Fast Fourier Transform
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: 04-11-2019 End date: 07-11-2019
Group 21:
Initial date: 04-11-2019 End date: 07-11-2019

Unit 7 (de 10): FIR filter design
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] 4
Group 20:
Initial date: 14-11-2019 End date: 25-11-2019
Group 21:
Initial date: 14-11-2019 End date: 25-11-2019

Unit 8 (de 10): IIR filter design
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: 25-11-2019 End date: 05-12-2019
Group 21:
Initial date: 25-11-2019 End date: 05-12-2019

Unit 9 (de 10): Advanced filters
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 2

Unit 10 (de 10): Digital Signal Processors
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 3
Problem solving and/or case studies [PRESENCIAL][Project/Problem Based Learning (PBL)] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 4

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
 
Hayes, M. H Schaum's Outlines: Digital Signal Processing McGraw-Hill 2012 Bibliografía Recomendada  
Hsu, H. P. Schaum's Outlines: Signals and Systems McGraw-Hill 2011  
Oppenheim, A. V., Schafer, R. W., Buck, J. R. Tratamiento de señales en tiempo discreto Prentice Hall 2000  
Prandelli, P. y Vetterli, M Signal Processing for Communications, EPFL Press 2008  
Proakis, J. G., Manolakis, D. G. Tratamiento digital de señales. Principios, algoritmos y aplicaciones Prentice Hall 1998  



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