Applied Electronics

Code:

EEC0142

Acronym:

EA

Keywords
Classification	Keyword
OFICIAL	Electronics and Digital Systems

Instance: 2011/2012 - 1S

Active?	Yes
E-learning page:	http://moodle.fe.up.pt/
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	117	Syllabus (Transition) since 2010/2011	3	-	6	63	162
		Syllabus	3	-	6	63	162

Teaching language

Portuguese

Objectives

BACKGROUND:
Electrical and Computer Engineers needs a solid formation related to data acquisition and signal processing in order to be able to control complex systems. So a solid knowledge of analogue and digital circuits involved in these tasks is needed, as well as in the subsequent digital processing.

SPECIFIC AIMS:
This course aims to introduce students to signal processing which need to be treated with digital electronics.
There is a chain which is dedicated to analogue signal processing (amplitude adaptation, impedance adaptation, change of level DC, filtering, noise elimination, current/voltage conversion and vice-versa, compression, expansion, mathematical operations, multiplexing, etc…) and convert it to the digital world (ADCs, SHs, etc…) and process it digitally (digital filters, FFTs, DFTs….)
This course also aims to acquaint students with the classification of analogue signals, application operations, as well as error analysis and quantification, A/D conversion and digital processing with the most used algorithms.

PREVIOUS KNOWLEDGE
Electromagnetism, Code: EEC0012, Acronym: ELEM
Electric Circuits, Code: EEC0010, Acronym: CIRC
Laboratory of Digital Systems, Code: EEC0006, Acronym: LSDI
Introduction to Linear Signals and Systems, Code: EEC0013, Acronym: TSIN
Electronic 1, Code: EEC0014, Acronym: ELEC1
Based Systems and Interfaces, Code: EEC0081, Acronym: SBMI

PERCENTUAL DISTRIBUTION
Scientific component (establishes and develops scientific bases) – 60%
Technological component (apply to design and process operation) – 40%

LEARNING OUTCOMES
At the end of the course Students should be capable of:
1. Identify and apply signal acquisition and processing methods.
2. Analyse noise influence on the performance of an instrumentation system.
3. Identify and apply methods and sampling techniques in time and frequency domains.
4. Identify and apply methods and techniques of analogue and digital filtering.
5. Apply their knowledge on distributed instrumentation and instrumentation systems with case studies.
6. Project analogue and digital data acquisition systems to the most common physical quantities (temperature, light, pressure, tension, force, pH, sound, distance, acceleration…).
7. Identify and analyse power amplifier stages.

Program

Contents:
1. Revision of transducers and signal conditioning.
1.1 Active and passive transducers of mechanical, magnetic, chemical and electrical quantities.
1.2 Principle of functioning, model and function of transference.
1.3 Range of measurement, sensitivity, linearity, source of errors and frequency response .
1.4 Signal conditioning associated to the different types of transduction processes.
2. Introduction to signal acquisition and amplification
2.1 Noise and shielding in analogue and digital systems.
2.2 Analogue signal conditioning of various physical signals.
2.2.1 Linear and non linear applications of operational amplifiers.
2.2.2 Instrumentation and isolation amplifiers.
2.3 Power amplifier stages.
2.3.1 Output impedance, harmonic distortion and efficiency.
2.3.2 Power stages in A, B, AB, C, G, H e D classes.
3. Filters:
3.1 Filter specification.
3.2. Analogue filter projects.
4. Introduction to digital signal acquisition.
4.1. Signal acquisition.
4.1.1. Signal sampling: Sampling theorem. Aliasing. Anti-aliasing.
4.1.2. Signal reconstruction.
4.1.3. Analogue to digital and digital to analogue conversion.
4.1.4 Multiplexing, sampling, holding and A/D and D/A converters.
4.1.5 Logic families and Interface circuits

Mandatory literature

Taylor, Rosemary H.; Data acquisition for sensor systems. ISBN: 0-412-78560-9
Pallás-Areny, Ramón; Analog signal processing. ISBN: 0-471-12528-8
Manuel de Medeiros Silva; Circuitos com transistores bipolares e MOS. ISBN: 972-31-0840-2
Manuel de Medeiros Silva; Introdução aos circuitos eléctricos e electrónicos. ISBN: 972-31-0696-5

Teaching methods and learning activities

Theoretical classes will be based on the presentation of the themes of the course with examples of application and dimensioning of typical case studies.
Laboratory classes will be base on the assembly, study and simulation of application circuits of the concepts presented in the theoretical classes. Students’ skills will be assessed.

Software

PSIM, MATLAB, SPICE

keywords

Technological sciences > Engineering > Electronic engineering
Technological sciences > Engineering > Electrical engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	52,00
Simulation problems	Trabalho escrito	20,00		2011-12-16
Exams	Exame	2,00		2012-02-10
Lab woek presentation	Trabalho escrito	6,00		2011-12-16
Labs work	Trabalho laboratorial	40,00		2011-12-16
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Theoretical study	Estudo autónomo	20	2011-12-16
Practical study	Estudo autónomo	20	2011-12-16
	Total:	40,00

Eligibility for exams

Students will only be admitted to the final exam (FE) if they attend to the practical classes, and if they achieve a minimum mark of 8 out of 20 in the laboratory component. They must obtain a minimum of 8 out of 20 in the final exam.

Calculation formula of final grade

Final Mark will be based on the following formula:
0.4*EF+0.4*TP+0.1*TPC+0.1*QAP
All components of the course will be assessed in a scale of 0 out of 20
EF: Final Exam.
TP: Practical Assignment (Laboratory).
TPC: Homework.
QAP: MOODLE quizzes.

Students have to reach a minimum mark of 8 out of 20 in the final exam and in the practical assignment, to complete the course.

Examinations or Special Assignments

Not applicable

Special assessment (TE, DA, ...)

Students with a special status (working-students, military personnel and students’ association leaders) have to attend a practical exam.

Classification improvement

According to Article 10 of General Evaluation Rules of FEUP.

Observations

Students’ knowledge that was acquired in other courses (Digital Systems, Circuits, Electronics, Introduction to Linear Signals and Systems, and Measurement, Sensors and Instrumentation) should be revised.

Office hours:
Office hours will be scheduled with each group of students.