GRADUATE SCHOOL
M.SC. in Computer Engineering (With Thesis)
CE 535 | Course Introduction and Application Information
| Course Name |
Software Engineering for Real-Time Systems
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
CE 535
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Elective
|
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| Course Level |
Second Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | This course provides a firm foundation in the knowledge, skills and techniques needed to develop and produce real-time, and in particular, embedded systems. The objective of this course is to introduce some of the characteristic features of embedded real-time systems and real-time software engineering. In this course, students will learn how to model, analyze, and design such systems. More, the course provides a pragmatic and intensive introduction to the UML for real time system development, makes extensive use of practical exercises and examples to reinforce points made in the formal presentations. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Real Time Systems are comprised software/hardware components embedded into larger systems composed of other subsystems (both mechanical and electronic). These systems are fed by input information from the sensors and are supposed to compute control signals for driving the actuators, resulting in a continuous interaction with the environment. In this course, students learn both the fundamentals of software design and modern design methodologies for real-time systems. This course emphasizes the use of UML diagrams. |
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|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction | Sommerville, Ch. 21 and Cooling Ch. 1 |
| 2 | Embedded software | Douglass, Ch. 1. |
| 3 | The search for dependable and reliable software | Sommerville, Ch.10, 11 and Cooling Ch. 2 |
| 4 | Requirements analysis and specification | Cooling Ch. 3 |
| 5 | Software and program design concepts | Cooling Ch. 4 |
| 6 | Operating systems for real-time applications | Cooling Ch. 5 |
| 7 | Practical aspects of real-time operating systems | Cooling Ch. 6 |
| 8 | Diagramming – an introduction | Cooling Ch. 7 |
| 9 | Practical diagramming method | Douglass + Booch et al. + www.uml.org |
| 10 | UML for real-time | Douglass + Booch et al. + www.uml.org |
| 11 | Design patterns | Sommerville, Ch.21 |
| 12 | Design patterns | Sommerville, Ch.21 |
| 13 | Presentations | |
| 14 | Presentations | |
| 15 | Review | |
| 16 | Review of the Semester |
| Course Notes/Textbooks |
|
| Suggested Readings/Materials |
|
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
20
|
| Project |
1
|
20
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
30
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
70
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
30
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
5
|
75
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
20
|
20
|
| Project |
1
|
25
|
25
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
15
|
15
|
| Final Exam |
1
|
42
|
42
|
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | Accesses information in breadth and depth by conducting scientific research in Computer Engineering; evaluates, interprets and applies information. |
X | ||||
| 2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. | X | ||||
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. |
X | ||||
| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | X | ||||
| 5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. |
X | ||||
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs | X | ||||
| 7 | Designs and implements studies based on theory, experiments and modelling; analyses and resolves the complex problems that arise in this process. |
X | ||||
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. |
X | ||||
| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
X | ||||
| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications. |
X | ||||
| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest