Embedded systems

Code:

EEC0150

Acronym:

SEMB

Keywords
Classification	Keyword
OFICIAL	Automation, Control & Manufacturing Syst.

Instance: 2019/2020 - 2S

Active?	Yes
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	50	Syllabus	4	-	6	56	162
MI:EF	0	study plan from 2017/18	4	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

Provide the students with the ability to develop embedded systems subject to real-time constraints using, when appropriate, real-time operating systems.

Learning outcomes and competences

- Ability to define the functional and non-functional requirements of embedded systems, in particular timing requirements

- Ability to model embedded systems applications exposing their concurrency

- Ability to use embedded systems development tools

- Ability to define and use computing platforms based on micro-controllers with real-time operating systems

- Ability to design and build embedded systems using the modeling, tools and platforms referred above.

 

Working method

Presencial

Program

- Introduction to embedded systems and related basic concepts
- Hardware architectures for embedded systems (CPUs and interfaces)
- Software architectures for embedded systems
- Compiling, linking and debugging
- Basic concepts on operating systems (memory management, process management, e inter-process communication and synchronization)
- Introduction to software for critical systems (fault tolerant software architectures)
- Real-time scheduling (periodic and aperiodic tasks, using static tables, fixed and dynamic priorities)
- Programming with real-time POSIX profile

Mandatory literature

Giorgio C. Buttazzo; Hard Real-Time Computing Systems. ISBN: 0-7923-9994-3

Complementary Bibliography

Jane W. S. Liu; Real-time systems. ISBN: 0-13-099651-3
Qing Li ; with Caroline Yao; Real-time concepts for embedded systems. ISBN: 978-1-57820-124-2
Hermann Kopetz; Real-time systems. ISBN: 0-7923-9894-7

Teaching methods and learning activities

- Lectures: slides on related topic, presentation and discussion of examples.
- Lab classes: practice the concepts addressed in the lectures using different hardware platforms, initially with guided experiments, then with a mini-project.
- Lab assignment: realization of a mini-project.
- Seminars: together with the lectures, the students have to prepare, in small groups of 2 or 3, a short presentation (15-20min) on a related topic, which is then discussed among all in class.

keywords

Technological sciences > Technology > Computer technology > Software technology
Technological sciences > Engineering > Computer engineering

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Defesa pública de dissertação, de relatório de projeto ou estágio, ou de tese	10,00
Teste	40,00
Trabalho de campo	25,00
Trabalho escrito	25,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	65,00
Elaboração de relatório/dissertação/tese	12,00
Estudo autónomo	25,00
Frequência das aulas	60,00
Total:	162,00

Eligibility for exams

Terms of frequency:  Attendance of the laboratory classes

Calculation formula of final grade

Formula Evaluation: NF = 0,5*NP + 0,5*NT
NP - Labs (min 7 in 20)
NT - Lectures (min 7 in 20)
NF - Final grade

NP = 0,5*NP_D + 0,5*NP_R
NT = 0,8*NT_T + 0,2*NT_A 
NP_D - labs mini.project demo and discussion
NP_R - labs mini-project report 
NT_T - course exam
NT_A - seminar presentation and discussion

Classification improvement

The recourse exam allows improving the normal exam.

Observations

To pass, it is necessary to obtain 7 or more points (over 20) in the exam and in the theory and laboratory components.