Data Aquisiton and Signal Processing Electronics

Code:

EEC0091

Acronym:

EAPS

Keywords
Classification	Keyword
OFICIAL	Automation, Control & Manufacturing Syst.
OFICIAL	Electronics and Digital Systems

Instance: 2008/2009 - 1S

Active?	Yes
Web Page:	http://moodle.fe.up.pt/0809/course/view.php?id=254
Responsible unit:	Automation, Control and Industrial Production Systems
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	47	Syllabus since 2006/2007	4	-	6	63	160
		Plano para bachareis que em 06 estiveram no 5º ano	4	-	6	63	160
		Syllabus since 2007/2008	4	-	6	63	160
		Plano para alunos que em 2006 estiveram no 3º ano	4	-	6	63	160
		Plano para alunos que em 2006 estiveram no 5º ano	4	-	6	63	160
		Plano para alunos que em 2006 estiveram no 4º ano	3	-	6	63	160
			4
		Plano para bachareis que em 06 estiveram no 4º ano	4	-	6	63	160

Teaching language

Portuguese

Objectives

This discipline intends to introduce students into analog and digital signal aquisition and processing techniques.

Program

1. Transducers and signal processing.
2. Signal acquisition and processing:
2.1 Analog signal processing.
2.2. Digital signal processing.
3. Analog and digital filters.
4. DSPs.
5. Industrial data acquisition systems
6. Standalone solutions.
7. Virtual instrumentation.

Mandatory literature

Pallás-Areny, Ramón; Analog signal processing. ISBN: 0-471-12528-8
Taylor, Rosemary H.; Data acquisition for sensor systems. ISBN: 0-412-78560-9

Teaching methods and learning activities

Classes are divided in:
1- Lectures (Teóricas)- 2 hpw
2- Example classes (Teórico-Práticas) -as needed.
3- Labs (Práticas)- 2 hpw.
At the Lectures concepts and results are presented after some previous motivation. Examples illustrating the applications of concepts and results are treated. Students are encouraged to participate and ask whatever questions related to the subjects being discussed.
At the Example classes students present their doubts to be solved interactively in the class.
Finally at Labs students are involved in doing experimental work.

Software

PSIM, MATLAB, SPICE

keywords

Physical sciences > Physics > Electronics > Optoelectronics
Technological sciences > Engineering > Electronic engineering
Technological sciences > Engineering
Physical sciences > Physics > Electronics
Physical sciences > Physics > Acoustics > Electroacoustics
Physical sciences > Computer science > Digital systems

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Subject Classes	Participação presencial	52,00
	Exame	4,00
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
	Estudo autónomo	12
	Estudo autónomo	46
	Estudo autónomo	46
	Total:	104,00

Eligibility for exams

A student is allowed to take the final exam if he/she attains at least 75% of Labs during the semester and has no less than 35% in the marks of Labs.

Calculation formula of final grade

Let LE be the mark of the Lab Examination component and FE the mark of Final Examination (all in a 0-20 scale).
The final mark of the course is calculated by the following formula:
IF{LE>7}
THEN
MARK = {0.4*LE+0.6*FE}
ELSE
MARK = 'SF'
END

Examinations or Special Assignments

None.

Special assessment (TE, DA, ...)

Students with special status (working students, etc) also need to attain the Labs and they cannot be evaluated by final exam only.

Classification improvement

As rule 10 of NGA.