Guide in PDF format
Logo

Electronic Systems and Applications

Code: 102722
Credits: 6
2026/2027
Degree programme Type Course
Electronic Engineering for Telecommunication OB 3

Contact lecturer

Name :
Carles Ferrer Ramis
Email :
carles.ferrer@uab.cat

Teaching staff

Raul Aragonés Ortíz
Waldo Nogueira Vazquez

Group languages

You can consult this information at the end of the document.

Prerequisites

Recommended to have studied subjects:

- Fundamentals of Computing.

- Digital Systems and VHDL.

- Microprocessors and Peripherals.

- Design of Electronic Systems.

Objectives

The objectives of the course are to provide the basis for the design of electronic systems through digital signal processors as a complement to other solutions of digital systems such as FPGAs and other generic processors. However, multimedia applications and representation of various forms of representation of data, as well as an introduction to graphics processing, will be addressed.

Learning outcomes

  1. Construct, operate and manage systems for capture, transport, representation, processing, storage, management and presentation of multimedia information, in terms of electronic systems.
  2. Recognize hardware / software solutions for the implantation of electronic and telecommunication systems.
  3. Build hardware / software interfaces based on complex platforms.
  4. Design interfaces, data capture and storage devices and terminals for telecommunication services and systems
  5. Apply electronics as a support technology in other fields and activities, and not only in the field of Information and Communication Technologies.
  6. Exploit information and communication technology in observance of an engineer's ethical and professional responsibilities.
  7. Develop the capacity for analysis and synthesis.
  8. Develop scientific thinking.
  9. Manage available time and resources. Work in an organised manner.
  10. Work cooperatively.
  11. Assume and respect the role of the different members of a team, as well as the different levels of dependency in the team.
  12. Identify, manage and resolve conflicts.
  13. Adapt to multidisciplinary and international surroundings.
  14. Maintain a proactive and dynamic attitude with regard to one's own professional career, personal growth and continuing education. Have the will to overcome difficulties.
  15. Develop curiosity and creativity.

Contents

1. Introduction to electronic systems based on DSP.

Design of electronic systems based on DSP.

Examples of applications of DSP-based electronic systems.

Advantages of digital signal processing.

Execution limitations in real time.


2. Representation of data in the use of DSP.

Fixed-point representation

Floating point representation


3. Digital signal processors

Basic aspects and needs of the DSP.

Differences between microprocessors and DSP.

Block diagram and functional units.

Selection criteria of a DSP.


4. Methodology, planning and development of Electronic Systems.

Definition of specifications and design flow.

Modeling and Simulation of Electronic Systems.

Management and operation of Electronic Systems.

Legal regulations and ethical considerations.


5. The family of the DSP TMS320C6000

Internal structure

Type and organization of memory.

Entry and exit.

The internal peripherals: McBSP, McASP, DMA.

EMIF interface.

HPI interface.

Vectors of interruption.


6. Introduction to graphics processors

Basics: CCD, CODEC, Compression, representation formats.

The pipeline graphic.

Architectures of a GPU.

GeForce and Radeon families.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Seminars 12 0.48 3, 4, 5
Laboratory activities 12 0.48 3, 4, 10
Theory classes 26 1.04 1, 2, 4, 5, 6, 7
Study 76 3.04

Theory classes:
Exhibitions on the board of the theoretical part of the syllabus of the course. They give the basic knowledge of the
Subject and directions on how to complete and deepen the contents.

Problem seminars:
The scientific and technical knowledge exposed in the master classes is worked on. They solve problems and it is
They discuss practical cases. With the problems, the capacity of analysis and synthesis, critical reasoning, is promoted
The student is trained in solving problems.
The methodology followed in problems is the following: complete exercises are delivered that have to be solved. In
class is a review of the doubts that have arisen and solved those that the students have had conflicts.
In a problem session, a group is working to solve problems in the synthesis of matter.

Practices:
The practices are realized during the course and they serve to deepen in the practical knowledge of the course matter.
Students will work in groups of 2.
In practice, the student will have to develop the own thinking habits of the subject and work in group.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
Exercises/Seminars 15% 10 0.4 2, 3, 4, 10, 11, 12, 13, 14
Laboratory activities 35% 10 0.4 3, 4, 5, 9, 14
Theory 50% 4 0.16 1, 2, 4, 5, 6, 7, 8, 15

The evaluation of the course is broken down into the following items:

1. Evidence of continuous evaluation. The weight in the total of the subject is 50%. You must get at least four at each partial test so you do not have to recover it. Four and a half are required in the average grade of the continuous assessment tests to be able to pass the subject using the notes of items 2 and 3.

2. Laboratory activities. The weight in the total of the subject is 35%. It is indispensable to approve them to pass the subject. There is no established mechanism of recovery of laboratory activities.

3. Evaluation of work. The weight in the total of the subject is 15%. It corresponds to work that the student will do during the course.

There is a final evaluation test to recover the part of the suspended continuous assessment or to raise a note. In this last case, the final grade will be the one obtained in this last test.

Any modification that must occur in this evaluation forecast due to unforeseen circumstances, will be communicated in a way addict to the students.

In this subject, the use of Artificial Intelligence (AI) technologies is not allowed in any of its phases. Any work that includes fragments generated with AI will be considered a lack of academic honesty and may lead to a partial or total penalty in the grade of the activity, or greater sanctions in cases of severity.



Bibliography

Federico J. Barerro García, Sergio L. Toral Marín, Mariano Ruíz González: Procesadores digitales de señal de altas prestaciones de Texas Instruments TM: De la familia TMS320C3x a la TMS320C6000, McGraw-Hill-Interamericana de España, 2005. 
 
M.Wolf: Computers as Components: Principles of Embedded Computing Systems Design. Third edition. Morgan Kaufmann Series, Elsevier, 2012.
 
 

Software

There is not

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TE) Theory 320 Catalan second semester morning-mixed
(PAUL) Classroom practices 321 Catalan second semester morning-mixed
(PLAB) Practical laboratories 321 Catalan second semester morning-mixed
(PAUL) Classroom practices 322 Catalan second semester morning-mixed
(PLAB) Practical laboratories 322 Catalan second semester morning-mixed
(PLAB) Practical laboratories 323 Catalan second semester morning-mixed
(PLAB) Practical laboratories 324 Catalan second semester morning-mixed