13M044SRV - Real-Time Embedded Systems

Course specification
Course title		Real-Time Embedded Systems
Acronym		13M044SRV
Study programme		Electrical Engineering and Computing
Module
Type of study		master academic studies
Lecturer (for classes)		professor PhD Ivan Popović
Lecturer/Associate (for practice)		asst. MA Haris Turkmanović, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. MA Haris Turkmanović, electrical and computer engineer
ESPB		6.0	Status	elective
Condition		none
The goal		Introduce students to the fundamentals of real-time systems, operating systems architecture, multitasking concepts and the principles of development and design of real-time embedded systems.Provide students with the ability to analyze, design and realize microcontroler based real-time embedded system.
The outcome		Students will be able to design the architecture of real-time embedded software based on given system requirement specification. Students will be able to develop and implement embedded firmware of the microcontroller based real-time system and to analize its performanse.
Contents
URL to the subject page		http://tnt.etf.bg.ac.rs/~oe4srv/
URL to lectures		http://tnt.etf.bg.ac.rs/~oe4srv/index_files/Page323.html
Contents of lectures		Real-time operating systems architecture, objects and services, inter-task synchronization and communication concepts, review of standard design patterns. Developing real-time embedded applications in multitasking environment.
Contents of exercises		Introduction to selected real-time operating system API, user and reference guide. Real-time embedded application design and development. Performanse analysis.
Literature
Teaching notes available at web site of department/course Qing Li and Carolyn Yao, Real-Time Concepts for Embedded Systems, CMP Books, 2003 Phillip A. Laplante, Real-Time Systems Design And Analysis, A John Wiley & Sons, Inc., Publication, 2004
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		45 hours of lectures, 15 hours of supervised problem classes and consultations and 30 hours of lab exercises and project related work and midterm test. Approximately 75 hours of personal study and project related work (3 hours per week during semester, and approximately 30 hours of midterm and final test preparation)
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	0
Practical lessons		10	Oral examination	40
Projects
Colloquia		30
Seminars		20