COMPUTER ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

SEN3006

Ders İsmi:

Software Architecture

Ders Yarıyılı:

Fall
Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
2	2	3	7

Language of instruction:

English

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr. Öğr. Üyesi YÜCEL BATU SALMAN

Course Lecturer(s):

Dr. Öğr. Üyesi YÜCEL BATU SALMAN
Dr. Öğr. Üyesi TAMER UÇAR
Instructor DUYGU ÇAKIR YENİDOĞAN
RA MERVE ARITÜRK
RA SEVGİ CANPOLAT
Prof. Dr. NAFİZ ARICA

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

Provides in depth the concepts, principals, methods, and best practices in software architectures; emphasizes on team projects to architect domain-specific architectures, service-oriented architectures, product-line architectures, adaptive and generative architectures. This course provides an overview for software engineering concepts and architectures. Students will work in small groups to design and implement software applications. The course will also provide a high-level overview of the software engineering discipline: software requirements, software design, software construction, software management, and software quality and testing.

Course Content:

The course content is composed of product, process, project management, metrics, project planning, systems engineering, analysis concepts, analysis modeling, risk, sqa, project scheduling, scm, design concepts, architecture design, user interface design, technical metrics, oo concepts, ooa, ood, software testing techniques and strategies, software maintenance, software testing techniques and strategies , oo metrics and a case study in software architecture – the a-7e operational flight program.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Product, Process
2)	Project Management, Metrics, Project Planning
3)	Systems Engineering
4)	Analysis Concepts, Analysis Modeling
5)	Risk, SQA, Project Scheduling, SCM
6)	Design Concepts
7)	Architecture Design, User Interface Design, Other Design Topics
8)	Design Topics
9)	Technical Metrics, OO Concepts, OOA, OOD
10)	Software Testing Techniques and Strategies
11)	Software maintenance, Software Testing Techniques and Strategies , OO Metrics
12)	OO Metrics
13)	A Case Study in Software Architecture – the A-7E Operational Flight Program
14)	Project Presentations

Sources

Course Notes / Textbooks:

Craig Larman
Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development, 3/E
ISBN-10: 0131489062 | ISBN-13: 9780131489066

Roger S. Pressman
Software Engineering: A Practitioner's Approach, Sixth
Edition , McGraw-Hill

Software Architecture in Practice, 2/e
Bass, Clements & Kazman
2003 | Addison-Wesley Professional | Cloth; 560 pp
ISBN-10: 0321154959 | ISBN-13: 9780321154958

References:

Yok - None.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.
6) Ability to work effectively within and multi-disciplinary teams; individual study skills.
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.
3)	Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.	4
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics.	3
6)	Ability to work effectively within and multi-disciplinary teams; individual study skills.
7)	Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 10
Project	1	% 15
Midterms	1	% 25
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Laboratory	14	2	28
Study Hours Out of Class	2	20	40
Project	1	15	15
Quizzes	2	10	20
Midterms	1	16	16
Final	1	20	20
Total Workload			167