Course Name Code Semester T+U Hours Credit ECTS
Real-Time Systems SWE 414 8 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language English
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi VEYSEL HARUN ŞAHİN
Course Lecturers
Course Assistants
Course Category Field Proper Education
Course Objective

Learning the requirements, design, programming and analysis of real-time systems.

Course Content

Introduction, Real-Time Systems, Real-Time Operating Systems, Real-Time Scheduling, Analysis Methods, Programming Real-Time Systems, Mixed-Criticality Systems

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learns real-time systems Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
2 Learns real-time operating systems Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
3 Learns planning schemes Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
4 Learns analysis methods Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
5 Learns programming real-time systems Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
6 Learns mixed-critical systems Lecture, Question-Answer, Discussion, Drilland Practice, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction
2 Introduction to Real-Time Systems
3 Real-Time Operating Systems
4 Real-Time Operating Systems
5 Scheduling Schemes
6 Scheduling Schemes
7 Scheduling Schemes
8 Analysis Methods
9 Analysis Methods
10 Programming Real-Time Systems
11 Programming Real-Time Systems
12 Programming Real-Time Systems
13 Programming Real-Time Systems
14 Mixed-Critical Systems
Resources
Course Notes <p>Hermann Kopetz, Real-Time Systems: Design Principles for Distributed Embedded Applications (Real-Time Systems Series), Springer, 2011</p> <p>Alan Burns, Andy Wellings, Analysable Real-Time Systems: Programmed in Ada, CreateSpace Independent Publishing Platform, 2016</p>
Course Resources

Hermann Kopetz, Real-Time Systems: Design Principles for Distributed Embedded Applications (Real-Time Systems Series), Springer, 2011

Alan Burns, Andy Wellings, Analysable Real-Time Systems: Programmed in Ada, CreateSpace Independent Publishing Platform, 2016

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions.
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations.
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently.
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods.
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research.
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies.
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility.
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language.
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology.
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society.
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications.
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 20
2. Ödev 20
3. Ödev 20
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 3 5 15
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 15 15
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 25 25
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 28 28
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 10 10
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 15 15
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 1 1
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 20 20
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 15 15
Final examination 1 18 18
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 15 15
Assignment 1 13 13
Final examination 1 18 18
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 13 13
Assignment 1 13 13
Final examination 1 18 18
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 13 13
Assignment 1 13 13
Final examination 1 15 15
Total Workload 2255
Total Workload / 25 (Hours) 90.2
dersAKTSKredisi 5