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

Ders Genel Tanıtım Bilgileri

Course Code:

1410321012

Ders İsmi:

Software Engineering

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Necessary

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 İlkay YELMEN

Course Lecturer(s):

Dr.Öğr.Üyesi İlkay YELMEN

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:	The students will have the ability of analyzing and designing of a software development process such as defining scope, describing problems, gathering system requirements, constructing data, object and process models and identifying alternative solution to apply feasibility analysis for decision making purposes.
Course Content:	The course content is composed of the basic concepts of systems analysis and design, the components of information systems, methods for developing information systems, project management, systems analysis approaches, scope definition phase, problem analysis phase , requirements analysis phase, use-cases, data modeling and analysis, process modeling, feasibility analysis and the system proposal.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Describe systems analysis and design concepts and define the components of information systems.
2 - Skills
Cognitive - Practical
1) Define functional and nonfunctional system requirements, apply fact-finding techniques.
2) Define the basic concepts and constructs of a process model and construct context, data flow, event and system diagrams.
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)	Introduction to Software Engineering	Textbook
2)	Software Processes	Textbook
3)	Agile Software Development	Textbook
4)	Requirements Engineering	Textbook
5)	System Modeling	Textbook
6)	Architectural Design	Textbook
7)	Design and Implementation	Textbook
8)	Midterm	Textbook
9)	Project Management	Textbook
10)	Project Management	Textbook
11)	Software Tests	Textbook
12)	Software Evolution	Textbook
13)	Reliability and Security	Textbook
14)	Reliability and Security	Textbook
15)	Project Presentations	Textbook
16)	Project Presentations	Textbook

Sources

Course Notes / Textbooks:	Yazılım Mühendisliği 10. Basımdan Çeviri, Ian Sommerville, Nobel Yayınları, 2018
References:	Yazılım Mühendisliği 10. Basımdan Çeviri, Ian Sommerville, Nobel Yayınları, 2018

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2	3
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

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

	Program Outcomes	Level of Contribution
1)	PO 1.1) Sufficient knowledge in mathematics, science and computer engineering	5
2)	PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.	5
3)	PO 2.1) Identifying complex engineering problems	5
4)	PO 2.2) Defining complex engineering problems	5
5)	PO 2.3) Formulating complex engineering problems	5
6)	PO 2.4) Ability to solve complex engineering problems	5
7)	PO 2.5) Ability to choose and apply appropriate analysis and modeling methods	5
8)	PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.	5
9)	PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product	5
10)	PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications	5
11)	PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications	5
12)	PO 4.3) Ability to use information technologies effectively.	5
13)	PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments	5
14)	PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation	5
15)	PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection	5
16)	PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics	5
17)	PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics	5

Öğrenme Etkinliği ve Öğretme Yöntemleri

Anlatım
Bireysel çalışma ve ödevi
Proje Hazırlama

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Bireysel Proje

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
total		%
PERCENTAGE OF SEMESTER WORK		% 0
PERCENTAGE OF FINAL WORK		%
total		%

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	0	3	0
Project	1	0	0
Midterms	1	0	0
Final	1	0	0
Total Workload			0