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

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
SEN3006	Software Architecture	Spring	2	2	3	7

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi YÜCEL BATU SALMAN
Course Lecturer(s):	Prof. Dr. NAFİZ ARICA RA MERVE ARITÜRK RA SEVGİ CANPOLAT Dr. Öğr. Üyesi YÜCEL BATU SALMAN Instructor DUYGU ÇAKIR YENİDOĞAN Dr. Öğr. Üyesi TAMER UÇAR
Recommended Optional Program Components:	None.
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.

Learning Outcomes

The students who have succeeded in this course;
1. Define the phases of the software development lifecycle
2. Describe the difference between project and process metrics
3. Define the terms version control and change control
4. Apply the methods for performing requirements elicitation and requirements analysis
5. Discuss important design principles such as information hiding and abstraction
6. Discuss the differences between structured and object oriented analysis and design
7. Define key testing terms such as black box testing and white box testing
8. Construct the activities of the software lifecycle for a small to medium software project

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.

Weekly Detailed Course Contents

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.

Evaluation System

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		% 35
PERCENTAGE OF FINAL WORK		% 65
Total		% 100

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.