SOFTWARE ENGINEERING (ENGLISH)

About the Program

Software engineering is generally defined as the application of engineering principles to economically obtain software that works reliably and effectively in accordance with the requirements. Today's software has been developed from small-scale projects, so it has been necessary to develop software under a discipline. Software engineering has been created for this purpose as a science department that aims to "develop software in a quality, measurable and systematic manner".

Students who have graduated from Software Engineering department; system integrator, systems engineer, design engineer, web design and program specialist, information technology specialist and application programmer will be able to design projects in the field of software as they will have a wide range of work in various departments of almost every institution and organization and will be able to implement these projects, they will have the characteristics to successfully carry out their steps and will be able to make significant contributions to the growing human power needed in our country.

The software engineering degree program is a four year program with a total of 240 ECTS credits consisting of eight semesters each with a workload of 30 ECTS. The training language is at least 30% English. It is imperative to know English at the time the curriculum is followed. The program has 1 year compulsory English preparatory class.

Program Objectives & Goals

Objectives

To train software engineers to work as software engineers, system architects/designers in teams developing complex software systems within the national and international IT industry.
To train software engineers who can take on roles as managers, team leaders, project members, or consultants in software projects, ensuring timely delivery.
Yapay zekâ, veri analizi, robotik ve akıllı sistemler gibi ileri teknolojilerde akademik veya endüstriyel Ar-Ge faaliyetlerinde araştırmacı, geliştirici veya veri bilimci olarak aktif rol alan Yazılım Mühendisleri yetiştirmektir
To train software engineers who can lead as entrepreneurs by developing innovative software products and solutions in their own ventures.

Program Learning Outcomes

KNOWLEDGE

1.1. Engineering Knowledge: Knowledge in mathematics and natural sciences.
1. 2. Engineering Knowledge: Foundational engineering, computational thinking, and knowledge in areas specific to the engineering discipline.
1.3. Engineering Knowledge: Ability to apply acquired knowledge in solving complex engineering problems.
2.1. Problem Analysis: Ability to identify, formulate, and analyze complex engineering problems using fundamental sciences, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals*.
3.1. Engineering Design: Ability to design creative solutions for complex engineering problems.

SKILL

3.2. Engineering Design: Ability to design complex systems, processes, devices, or products that meet current and future needs, while considering realistic constraints and conditions.
4.1. Use of Technical Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools—including prediction and modeling—for analyzing and solving complex engineering problems, while being aware of their limitations.
5.1. Research and Investigation: Ability to use research methods, including literature review, experimental design, data collection, and analysis and interpretation of results, to investigate complex engineering problems.

COMPETENCE

6.1. Global Impact of Engineering Practices: Knowledge of the impact of engineering applications on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals.
6.2. Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions.
7.1. Knowledge of engineering ethics and commitment to professional principles, including ethical responsibility.
7.2. Awareness of the importance of non-discrimination, impartiality, and inclusivity in all matters.
8.1. Ability to work effectively as an individual within a discipline.
8.2. Ability to work effectively as a team member or leader in disciplinary teams, whether in person, remotely, or in hybrid settings.
8.3. Ability to work effectively as a team member or leader in multidisciplinary teams, whether in person, remotely, or in hybrid environments.
9.1. Ability to communicate effectively in technical matters, both orally and in writing, considering the diverse characteristics of the target audience (such as education, language, and profession).
10.1. Knowledge of business practices such as project management and economic feasibility analysis.
10.2. Awareness of entrepreneurship and innovation.
11.1. Lifelong learning ability, including self-directed learning, adapting to new and emerging technologies, and critically thinking about technological changes.

1.1. Engineering Knowledge: Knowledge in mathematics and natural sciences.
1. 2. Engineering Knowledge: Foundational engineering, computational thinking, and knowledge in areas specific to the engineering discipline.
1.3. Engineering Knowledge: Ability to apply acquired knowledge in solving complex engineering problems.
2.1. Problem Analysis: Ability to identify, formulate, and analyze complex engineering problems using fundamental sciences, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals*.
3.1. Engineering Design: Ability to design creative solutions for complex engineering problems.
3.2. Engineering Design: Ability to design complex systems, processes, devices, or products that meet current and future needs, while considering realistic constraints and conditions.
4.1. Use of Technical Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools—including prediction and modeling—for analyzing and solving complex engineering problems, while being aware of their limitations.
5.1. Research and Investigation: Ability to use research methods, including literature review, experimental design, data collection, and analysis and interpretation of results, to investigate complex engineering problems.
6.1. Global Impact of Engineering Practices: Knowledge of the impact of engineering applications on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals.
6.2. Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions.
7.1. Knowledge of engineering ethics and commitment to professional principles, including ethical responsibility.
7.2. Awareness of the importance of non-discrimination, impartiality, and inclusivity in all matters.
8.1. Ability to work effectively as an individual within a discipline.
8.2. Ability to work effectively as a team member or leader in disciplinary teams, whether in person, remotely, or in hybrid settings.
8.3. Ability to work effectively as a team member or leader in multidisciplinary teams, whether in person, remotely, or in hybrid environments.
9.1. Ability to communicate effectively in technical matters, both orally and in writing, considering the diverse characteristics of the target audience (such as education, language, and profession).
10.1. Knowledge of business practices such as project management and economic feasibility analysis.
10.2. Awareness of entrepreneurship and innovation.
11.1. Lifelong learning ability, including self-directed learning, adapting to new and emerging technologies, and critically thinking about technological changes.

Subject-Specific Qualifications	Programme Learning Outcomes
KNOWLEDGE
Theoretical / Conceptual
Matematik, fen bilimleri ve kendi dalları ile ilgili mühendislik konularında yeterli altyapıya sahiptir.	1.1. Engineering Knowledge: Knowledge in mathematics and natural sciences. 1. 2. Engineering Knowledge: Foundational engineering, computational thinking, and knowledge in areas specific to the engineering discipline. 1.3. Engineering Knowledge: Ability to apply acquired knowledge in solving complex engineering problems. 2.1. Problem Analysis: Ability to identify, formulate, and analyze complex engineering problems using fundamental sciences, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals*. 3.1. Engineering Design: Ability to design creative solutions for complex engineering problems.
SKILL
Cognitive / Pratical
Matematik, fen bilimleri ve kendi alanlardaki kuramsal ve uygulamalı bilgileri mühendislik çözümleri için beraber kullanır. Mühendislik problemlerini saptar, tanımlar, formüle eder ve çözer, bu amaçla uygun analitik yöntemler ve modelleme tekniklerini seçer ve uygular. Bir sistemi, sistem bileşenini ya da süreci analiz eder ve istenen gereksinimleri karşılamak üzere gerçekçi kısıtlar altında tasarlar; bu doğrultuda modern tasarım yöntemlerini uygular. Mühendislik uygulamaları için gerekli olan modern teknik ve araçları seçer ve kullanır. Deney tasarlar, deney yapar, veri toplar sonuçları analiz eder ve yorumlar.	3.2. Engineering Design: Ability to design complex systems, processes, devices, or products that meet current and future needs, while considering realistic constraints and conditions. 4.1. Use of Technical Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools—including prediction and modeling—for analyzing and solving complex engineering problems, while being aware of their limitations. 5.1. Research and Investigation: Ability to use research methods, including literature review, experimental design, data collection, and analysis and interpretation of results, to investigate complex engineering problems.
COMPETENCE
Competence to Work Independently and Take Responsibility
Bireysel olarak ve çok disiplinli takımlarda etkin olarak çalışır. Bilgiye erişir ve bu amaçla kaynak araştırması yapar, veri tabanları ve diğer bilgi kaynaklarını kullanır.	8.1. Ability to work effectively as an individual within a discipline. 8.2. Ability to work effectively as a team member or leader in disciplinary teams, whether in person, remotely, or in hybrid settings. 8.3. Ability to work effectively as a team member or leader in multidisciplinary teams, whether in person, remotely, or in hybrid environments.
Learning Competence
Bilgiye erişir ve bu amaçla kaynak araştırması yapar, veri tabanları ve diğer bilgi kaynaklarını kullanır. Yaşam boyu öğrenmenin gerekliliği bilincindedir; bilim ve teknolojideki gelişmeleri izler ve kendini sürekli yeniler. Matematik, fen bilimleri ve kendi alanlardaki kuramsal ve uygulamalı bilgileri mühendislik çözümleri için beraber kullanır. Mühendislik problemlerini saptar, tanımlar, formüle eder ve çözer, bu amaçla uygun analitik yöntemler ve modelleme tekniklerini seçer ve uygular. Bir sistemi, sistem bileşenini ya da süreci analiz eder ve istenen gereksinimleri karşılamak üzere gerçekçi kısıtlar altında tasarlar; bu doğrultuda modern tasarım yöntemlerini uygular. Mühendislik uygulamaları için gerekli olan modern teknik ve araçları seçer ve kullanır. Bireysel olarak ve çok disiplinli takımlarda etkin olarak çalışır.	11.1. Lifelong learning ability, including self-directed learning, adapting to new and emerging technologies, and critically thinking about technological changes.
Communication and Social Competence
Sözlü ve yazılı etkin iletişim kurar; bir yabancı dili en az Avrupa Dil Portföyü B1 Genel Düzeyinde kullanır. Alanının gerektirdiği en az Avrupa Bilgisayar Kullanma Lisansı İleri Düzeyinde bilgisayar yazılımı ile birlikte bilişim ve iletişim teknolojilerini kullanır. Bilgiye erişir ve bu amaçla kaynak araştırması yapar, veri tabanları ve diğer bilgi kaynaklarını kullanır. Mühendislik çözümlerinin ve uygulamalarının evrensel ve toplumsal boyutlardaki etkilerinin bilincinde olur; girişimcilik ve yenilikçilik konularının farkında olur ve çağın sorunları hakkında bilgiye sahiptir. Teknik resim kullanarak iletişim kurar.	7.1. Knowledge of engineering ethics and commitment to professional principles, including ethical responsibility. 7.2. Awareness of the importance of non-discrimination, impartiality, and inclusivity in all matters. 9.1. Ability to communicate effectively in technical matters, both orally and in writing, considering the diverse characteristics of the target audience (such as education, language, and profession).
Field Specific Competence
Mesleki ve etik sorumluluk bilincine sahiptir. Proje yönetimi, işyeri uygulamaları, çalışanların sağlığı, çevre ve iş güvenliği konularında bilinç; mühendislik uygulamalarının hukuksal sonuçları hakkında farkındalığa sahiptir. Mühendislik çözümlerinin ve uygulamalarının evrensel ve toplumsal boyutlardaki etkilerinin bilincinde olduğunu gösterir; girişimcilik ve yenilikçilik konularının farkındadır ve çağın sorunları hakkında bilgi sahibidir.	6.1. Global Impact of Engineering Practices: Knowledge of the impact of engineering applications on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals. 6.2. Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions. 10.1. Knowledge of business practices such as project management and economic feasibility analysis. 10.2. Awareness of entrepreneurship and innovation.

Relationship Between Programme Learning Outcomes and Objectives

KNOWLEDGE		OBJECTIVE				T	%
Theoretical / Conceptual		O1	O2	O3	O4
1	1.1. Engineering Knowledge: Knowledge in mathematics and natural sciences.	4 H ✔	0 -	4 H ✔	4 H ✔	12	%60,00
2	1. 2. Engineering Knowledge: Foundational engineering, computational thinking, and knowledge in areas specific to the engineering discipline.	5 VH ✔	0 -	5 VH ✔	5 VH ✔	15	%75,00
3	1.3. Engineering Knowledge: Ability to apply acquired knowledge in solving complex engineering problems.	5 VH ✔	0 -	5 VH ✔	5 VH ✔	15	%75,00
4	2.1. Problem Analysis: Ability to identify, formulate, and analyze complex engineering problems using fundamental sciences, mathematics, and engineering knowledge, while considering the relevant UN Sustainable Development Goals*.	5 VH ✔	1 VL ✔	3 M ✔	5 VH ✔	14	%70,00
5	3.1. Engineering Design: Ability to design creative solutions for complex engineering problems.	5 VH ✔	3 M ✔	3 M ✔	4 H ✔	15	%75,00
SKILL		OBJECTIVE				T	%
Cognitive / Pratical		O1	O2	O3	O4
1	3.2. Engineering Design: Ability to design complex systems, processes, devices, or products that meet current and future needs, while considering realistic constraints and conditions.	4 H ✔	4 H ✔	2 L ✔	5 VH ✔	15	%75,00
2	4.1. Use of Technical Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools—including prediction and modeling—for analyzing and solving complex engineering problems, while being aware of their limitations.	3 M ✔	3 M ✔	3 M ✔	3 M ✔	12	%60,00
3	5.1. Research and Investigation: Ability to use research methods, including literature review, experimental design, data collection, and analysis and interpretation of results, to investigate complex engineering problems.	4 H ✔	3 M ✔	3 M ✔	3 M ✔	13	%65,00
COMPETENCE		OBJECTIVE				T	%
Field Specific Competence		O1	O2	O3	O4
1	6.1. Global Impact of Engineering Practices: Knowledge of the impact of engineering applications on society, health and safety, the economy, sustainability, and the environment within the framework of the UN Sustainable Development Goals.	4 H ✔	3 M ✔	1 VL ✔	1 VL ✔	9	%45,00
2	6.2. Global Impact of Engineering Practices: Awareness of the legal implications of engineering solutions.	4 H ✔	3 M ✔	1 VL ✔	1 VL ✔	9	%45,00
3	10.1. Knowledge of business practices such as project management and economic feasibility analysis.	5 VH ✔	5 VH ✔	3 M ✔	4 H ✔	17	%85,00
4	10.2. Awareness of entrepreneurship and innovation.	1 VL ✔	1 VL ✔	1 VL ✔	5 VH ✔	8	%40,00
Communication and Social Competence		O1	O2	O3	O4
1	7.1. Knowledge of engineering ethics and commitment to professional principles, including ethical responsibility.	4 H ✔	3 M ✔	2 L ✔	0 -	9	%45,00
2	7.2. Awareness of the importance of non-discrimination, impartiality, and inclusivity in all matters.	4 H ✔	3 M ✔	1 VL ✔	3 M ✔	11	%55,00
3	9.1. Ability to communicate effectively in technical matters, both orally and in writing, considering the diverse characteristics of the target audience (such as education, language, and profession).	5 VH ✔	4 H ✔	3 M ✔	0 -	12	%60,00
Competence to Work Independently and Take Responsibility		O1	O2	O3	O4
1	8.1. Ability to work effectively as an individual within a discipline.	5 VH ✔	4 H ✔	4 H ✔	0 -	13	%65,00
2	8.2. Ability to work effectively as a team member or leader in disciplinary teams, whether in person, remotely, or in hybrid settings.	5 VH ✔	5 VH ✔	3 M ✔	0 -	13	%65,00
3	8.3. Ability to work effectively as a team member or leader in multidisciplinary teams, whether in person, remotely, or in hybrid environments.	5 VH ✔	4 H ✔	3 M ✔	0 -	12	%60,00
Learning Competence		O1	O2	O3	O4
1	11.1. Lifelong learning ability, including self-directed learning, adapting to new and emerging technologies, and critically thinking about technological changes.	4 H ✔	3 M ✔	4 H ✔	3 M ✔	14	%70,00
NUMBER OF PROGRAMME LEARNING OUTCOMES (19)		19	16	19	14	-	-
WEIGHT		81	52	54	51	-	-
PERCENTAGE		%85,26	%54,74	%56,84	%53,68	-	-
CONTRIBUTION LEVEL - NONE [0] (-)		0	3	0	5
CONTRIBUTION LEVEL - VERY LOW [1] (VL)		1	2	4	2
CONTRIBUTION LEVEL - LOW [2] (L)		0	0	2	0
CONTRIBUTION LEVEL - MEDIUM [3] (M)		1	8	8	4
CONTRIBUTION LEVEL - HIGH [4] (H)		8	4	3	3
CONTRIBUTION LEVEL - VERY HIGH [5] (VH)		9	2	2	5

* T: Total, %: Percentage

O1 — To train software engineers to work as software engineers, system architects/designers in teams developing complex software systems within the national and international IT industry.

O2 — To train software engineers who can take on roles as managers, team leaders, project members, or consultants in software projects, ensuring timely delivery.

O3 — Yapay zekâ, veri analizi, robotik ve akıllı sistemler gibi ileri teknolojilerde akademik veya endüstriyel Ar-Ge faaliyetlerinde araştırmacı, geliştirici veya veri bilimci olarak aktif rol alan Yazılım Mühendisleri yetiştirmektir

O4 — To train software engineers who can lead as entrepreneurs by developing innovative software products and solutions in their own ventures.

Contribution Level: 0 = None 1 = Very Low 2 = Low 3 = Medium 4 = High 5 = Very High

Contribution Level: - = None VL = Very Low L = Low M = Medium H = High VH = Very High

Contribution Level: ✔ = Has contribution None

Teaching Methods

The most frequently used Instructional Methods of the educational programs of Istanbul Sabahattin Zaim University are given below.

Expression
Question-Answer
Discussion
Exercise and Practice
Presentation
Guided Practice
Role Playing
Group Study
Simulation
Brain Storming
Six Hat
Case Study
Experiment - Test / Lab/ Workshop / Field Practice
Self study
Problem Solving
Project Based Learning (Including Field Work)

Assessment Methods

The most frequently used Evaluation Methods of the educational programs of Istanbul Sabahattin Zaim University are given below.

Testing (Essay / Tests: True-Falls, multiple-choice, short answer, matching)
Oral Exam
Homework
Project / Design
Portfolio
Performance Assignment ( Lab / Workshop / Field Work / Seminar / Presentation / Completion Study / Thesis

Degree and Level Awarded

This department is subject to 240 ECTS (ECTS) credits first degree system in engineering (Software Engineering) in higher education.

When the program is successfully completed and program qualifications are provided, the degree of Bachelor of Science in Software Engineering is achieved.

Admission Requirements

Admission of national students to the SOFTWARE ENGINEERING programme is allowed through the nationally centralised Student Selection Examination (ÖSS) conducted by the Student Selection and Placement Centre (OSYM). For further information please visit General Admission Requirements and Registration Proceduresin the menu items of the Information on the Institution and The Student Selection & Placement Centre (OSYM).

Admission of foreign students to the programme can be done upon an evaluation of the application of students directiy to the university. For further and detailed information please visit General Admission Requirements and Registration Procedures in the menu items of the Information on the Institution

Graduation Requirements

Students are required to take at least 240 ECTS and have a GPA of at least 2.00 out of 4.00 in order to graduate from this program.

In order for the student to be able to reach the graduation stage, the students must be successful in the midterm and final examinations, as well as the homeworks and projects of the compulsory and elective courses they have taken each semester. In addition, for graduation, the student must have successfully completed an internship of 30 business days. The internship has not been credited with the program as it is a prerequisite for graduation. The experience and required workload of the internship are taken into consideration in the content, application and workloads of the related courses within the program. In addition, the student is required to submit a Completion Essay (7th or 8th semester) to be presented at the end of a project.

Recognition of Prior Learning

Procedures to recognise prior learning (RPL), including non-formal and informal learning, is in an early stage of development in Turkey and there is no a comprehensive and enabling legislative framework at the national level in place yet. However, within the institutional autonomy respected there are some implementations at the institutional level for allocating credits towards exemption from some programme requirements on the basis of RPL. This is particularly a wide spread exercise implemented in cases that students, having a certain level of knowledge, skills and competencies in relation to fields such as foreign languages and computer use, prior to admission to the university, are subjected to an examination and if they are found successful to a certain degree required by the programme they have been admitted to, they are exempted from the relevant course units of the course programme. RPL is also practiced for students who wish to transfer their studies to the equal or an upper levels at an another institution including those from abroad in the same or similar fields. In such cases, students, having received some course units in a previous programme they had studied and having been successful, may be exempted from the same or similar course units of the programmes they are admitted to upon the approval the adaptation committees of the programmes.

Such procedures of recognition are also used comprehensively in practice at our university. The general arrangements for the recognition of such implementations are outlined in the relevant section of our Education and Examination Regulations, Rules & regulations for Postgraduate Programmes and that of Regulations for Lateral Transfer of Students.

Employment Opportunities

Although students mostly start working in the private sector, they also find jobs in public sector as well. Since this area is mainly based on the creation and generation of ideas and the need for financial resources is low. As a result, software engineers who can generate their own ideas have the opportunity to establish their own businesses. In their first years, new graduates gain experience in the overall sector by taking a role as a programmer. Today many engineering department graduates are trying to keep pursuing this career even though they are not formally trained in software engineering. However, the importance of having competent people who are experienced in this field is increasing each day. In parallel with the widespread use of computers, there is a huge need of software engineers who can keep up with the developing world.

Access to Further Studies

The students graduating from this program may apply to second cycle programs.

Course Plan Year

Study Plan

1th Semester

Number of Compulsory Courses: 8 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
ATA 101	Ataturk’s Principles and History of Turkish Revolution I	Compulsory	English	2	0	2	3	2
FIZ 103	Physics Lab I	Compulsory	English	0	2	2	2	1
FIZ 105	Physics I	Compulsory	English	3	0	3	4	3
MAT 115	Mathematics I	Compulsory	English	4	0	4	6	4
MUH 101	Engineering Principles and Ethics	Compulsory	English	2	0	2	3	2
TUR 101	Turkish Language I	Compulsory	Turkish	2	0	2	3	2
YAM 107	Introduction to Algorithms and Programming	Compulsory	English	1	2	3	5	2
YDL 105	Advanced English I	Compulsory	English	3	0	3	4	3
Total:				17	4	21	30,0	19,0

2nd Semester

Number of Compulsory Courses: 8 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
ATA 102	Ataturk’s Principles and History of Turkish Revolution II	Compulsory	English	2	0	2	3	2
FIZ 104	Physics Lab II	Compulsory	English	0	2	2	2	1
FIZ 106	Physics II	Compulsory	English	3	0	3	4	3
MAT 104	Linear Algebra	Compulsory	English	3	0	3	4	3
MAT 116	Mathematics II	Compulsory	English	4	0	4	6	4
TUR 102	Turkish Language II	Compulsory	Turkish	2	0	2	3	2
YAM 110	Object Oriented Programming	Compulsory	English	1	2	3	4	2
YDL 106	Advanced English II	Compulsory	English	3	0	3	4	3
Total:				18	4	22	30,0	20,0

3rd Semester

Number of Compulsory Courses: 6 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
IST 201	Probability and Statistics	Compulsory	English	3	0	3	5	3
MAT 203	Discrete Mathematics	Compulsory	English	3	0	3	5	3
YAM 205	Computing Systems	Compulsory	English	3	0	3	5	3
YAM 207	Data Structures	Compulsory	English	2	1	3	6	2.5
YAM 209	Database Systems	Compulsory	English	1	2	3	6	2
IZU ORT-1	IZU Common Elective	IZU Common Elective	English	2	0	2	3	2
Total:				14	3	17	30,0	15,5

4th Semester

Number of Compulsory Courses: 6 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
MAT 222	Differential Equations	Compulsory	English	3	0	3	5	3
MAT 232	Numerical Methods	Compulsory	English	4	0	4	5	4
YAM 212	Algorithm Analysis	Compulsory	English	2	1	3	6	2.5
YAM 220	Software Quality Assurance	Compulsory	English	1	2	3	5	2
YAM 222	Web Programming	Compulsory	English	2	1	3	6	2.5
IZU ORT-2	IZU Common Elective	IZU Common Elective	English	2	0	2	3	2
Total:				14	4	18	30,0	16,0

5th Semester

Number of Compulsory Courses: 6 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
YAM 309	Software Architecture and Design	Compulsory	English	3	0	3	6	3
YAM 321	Operating Systems	Compulsory	English	2	1	3	6	2.5
YAM 397	Internship I	Internship	English	0	0	0	5	0
BLS 001	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 002	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
IZU ORT-3	IZU Common Elective	IZU Common Elective	English	2	0	2	3	2
Total:				11	3	14	30,0	12,5

5th Semester Elective Courses

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
BIM 321	Real-Time Programming	Departmental Elective	English	2	1	3	5	2.5
MTH 371	Milli Teknoloji Hamlesi	Departmental Elective	English	3	0	3	5	3
YAM 331	Linux System Administration	Departmental Elective	English	2	1	3	5	2.5
YAM 333	Yazılım Mühendisliği Özel Konular-I	Departmental Elective	English	2	1	3	5	2.5
YAM 339	Artificial Intelligence and Applications	Departmental Elective	English	2	1	3	5	2.5
Total:				11	4	15	25,0	13,0

6th Semester

Number of Compulsory Courses: 7 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
MUH 302	Interdisciplinary Research and Practice Design	Compulsory	English	1	0	1	3	1
YAM 328	Introduction to Machine Learning	Compulsory	English	3	0	3	6	3
YAM 330	Mobile Application Development	Compulsory	English	2	1	3	6	2.5
YAM 396	Internship II	Internship	English	0	0	0	2	0
BLS 001	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 002	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
IZU ORT-4	IZU Common Elective	IZU Common Elective	English	2	0	2	3	2
Total:				12	3	15	30,0	13,5

6th Semester Elective Courses

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
MTH 372	Milli Teknoloji Hamlesi	Departmental Elective	English	3	0	3	5	3
YAM 316	Image Processing	Departmental Elective	English	2	1	3	5	2.5
YAM 318	Machine Learning and Applications	Departmental Elective	English	2	1	3	5	2.5
YAM 322	Advanced Algorithms	Departmental Elective	English	3	0	3	5	3
YAM 326	3D Modeling and Animation	Departmental Elective	English	3	0	3	5	3
Total:				13	2	15	25,0	14,0

7th Semester

Number of Compulsory Courses: 6 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
YAM 441	Graduation Study 1	Compulsory	English	2	0	2	5	2
BLS 001	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 002	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 003	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 004	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 005	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
Total:				12	5	17	30,0	14,5

7th Semester Elective Courses

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
MTH 471	Milli Teknoloji Hamlesi	Departmental Elective	English	3	0	3	5	3
YAM 405	Software Measurement and Testing	Departmental Elective	English	2	1	3	5	2.5
YAM 415	Game Programming	Departmental Elective	English	2	1	3	5	2.5
YAM 435	Machine Vision	Departmental Elective	English	2	1	3	5	2.5
YAM 437	Data Mining	Departmental Elective	English	2	1	3	5	2.5
YAM 439	Formal Languages and Automata Theory	Departmental Elective	English	2	1	3	5	2.5
YAM 443	Bilgisayar ve Ağ Güvenliği	Departmental Elective	English	2	1	3	5	2.5
YAM 445	Information Security	Departmental Elective	English	2	1	3	5	2.5
YAM 447	Applied Neural Networks	Departmental Elective	English	2	1	3	5	2.5
YAM 449	Software Measurement and Testing	Departmental Elective	English	2	1	3	5	2.5
Total:				21	9	30	50,0	25,5

8th Semester

Number of Compulsory Courses: 6 Number of Elective Courses: 0

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
ISG 402	Occupational Health and Safety	Compulsory	English	2	0	2	3	2
BLS 001	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 002	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 003	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
BLS 004	Departmental Elective Course	Departmental Elective	English	2	1	3	5	2.5
YAM 442	Graduation Study 2	Graduation Study	English	2	0	2	7	2
Total:				12	4	16	30,0	14,0

8th Semester Elective Courses

Code	Course Name	Type	Language of Instruction	T	L	H	ECTS	Cr.
MTH 472	Milli Teknoloji Hamlesi	Departmental Elective	English	3	0	3	5	3
MUH 402	Workplace Vocational Training Application	Departmental Elective	English	3	0	3	20	3
YAM 434	Human - Computer Interaction	Departmental Elective	English	3	0	3	5	3
YAM 436	Wireless Network Technologies and Applications	Departmental Elective	English	2	1	3	5	2.5
YAM 438	Deep Learning	Departmental Elective	English	2	1	3	5	2.5
YAM 440	Natural Language Processing	Departmental Elective	English	2	1	3	5	2.5
YAM 444	System Programming	Departmental Elective	English	2	1	3	5	2.5
YAM 446	Digital Media Processing	Departmental Elective	English	2	1	3	5	2.5
Total:				19	5	24	55,0	21,5

Course Load Summary

Course Load Summary	T	L	H	ECTS	Cr.
Grand Total (Number of Courses: 53)	110	30	140	240,0	125,0
Compulsory Course Total (Number of Courses: 36)	76	17	93	163,0	84,5
Elective Course Total (Number of Courses: 17)	34	13	47	77,0	40,5

Course Type	Number of Courses	Ratio (%)
Zorunlu Ders	36	67,92
Seçmeli Ders	17	32,08
Bölüm Dışı Seçmeli Ders	10	18,87

T: Theory, P: Practice, L: Laboratory, WCH: Weekly Course Hours, ECTS: European Credit Transfer System, Cr.: Credit

Core Area Distribution

Core Area	Total ECTS	Ratio (%)
Engineering and Engineering Trades	38.8	23.8%
Engineering and Engineering Trades	35.5	21.8%
Mathematics and Statistics	29.5	18.1%
Humanities	18.8	11.5%
Computing	16.3	10%
Computing	12.5	7.7%
Physical Sciences	6	3.7%
Mathematics and Statistics	2	1.2%
Social and Behavioural Science	1.8	1.1%
Architecture and Building	0.6	0.4%
Health	0.6	0.4%
Security Services	0.6	0.4%

Course Category List

Compulsory Courses

Course	ECTS	Ratio (%)
ATA 101 - Ataturk’s Principles and History of Turkish Revolution I	3
22 - Humanities		%90
31 - Social and Behavioural Science		%10
ATA 102 - Ataturk’s Principles and History of Turkish Revolution II	3
22 - Humanities		%90
31 - Social and Behavioural Science		%10
FIZ 103 - Physics Lab I	2
44 - Physical Sciences		%100
FIZ 104 - Physics Lab II	2
46 - Mathematics and Statistics		%20
52 - Engineering and Engineering Trades		%80
FIZ 105 - Physics I	4
44 - Physical Sciences		%100
FIZ 106 - Physics II	4
48 - Computing		%20
52 - Engineering and Engineering Trades		%80
ISG 402 - Occupational Health and Safety	3
22 - Humanities		%20
52 - Engineering and Engineering Trades		%20
58 - Architecture and Building		%20
72 - Health		%20
86 - Security Services		%20
IST 201 - Probability and Statistics	5
46 - Mathematics and Statistics		%75
52 - Engineering and Engineering Trades		%25
MAT 104 - Linear Algebra	4
46 - Mathematics and Statistics		%80
52 - Engineering and Engineering Trades		%20
MAT 115 - Mathematics I	6
46 - Mathematics and Statistics		%60
52 - Engineering and Engineering Trades		%40
MAT 116 - Mathematics II	6
46 - Mathematics and Statistics		%100
MAT 203 - Discrete Mathematics	5
46 - Mathematics and Statistics		%70
48 - Computing		%30
MAT 222 - Differential Equations	5
46 - Mathematics and Statistics		%60
52 - Engineering and Engineering Trades		%40
MAT 232 - Numerical Methods	5
46 - Mathematics and Statistics		%60
52 - Engineering and Engineering Trades		%40
MUH 101 - Engineering Principles and Ethics	3
52 - Engineering and Engineering Trades		%100
MUH 302 - Interdisciplinary Research and Practice Design	3
52 - Engineering and Engineering Trades		%100
TUR 101 - Turkish Language I	3
22 - Humanities		%100
TUR 102 - Turkish Language II	3
22 - Humanities		%100
YAM 107 - Introduction to Algorithms and Programming	5
48 - Computing		%50
52 - Engineering and Engineering Trades		%50
YAM 110 - Object Oriented Programming	4
48 - Computing		%50
52 - Engineering and Engineering Trades		%50
YAM 205 - Computing Systems	5
46 - Mathematics and Statistics		%25
48 - Computing		%50
52 - Engineering and Engineering Trades		%25
YAM 220 - Software Quality Assurance	5
48 - Computing		%40
52 - Engineering and Engineering Trades		%60
YAM 309 - Software Architecture and Design	6
31 - Social and Behavioural Science		%20
46 - Mathematics and Statistics		%10
52 - Engineering and Engineering Trades		%70
YAM 328 - Introduction to Machine Learning	6
46 - Mathematics and Statistics		%20
48 - Computing		%50
52 - Engineering and Engineering Trades		%30
YAM 441 - Graduation Study 1	5
48 - Computing		%40
52 - Engineering and Engineering Trades		%60
YDL 105 - Advanced English I	4
22 - Humanities		%70
52 - Engineering and Engineering Trades		%30
YDL 106 - Advanced English II	4
22 - Humanities		%100

Elective Courses

Course	ECTS	Ratio (%)
BIM 321 - Real-Time Programming	5
48 - Computing		%60
52 - Engineering and Engineering Trades		%40
MUH 402 - Workplace Vocational Training Application	20
52 - Engineering and Engineering Trades		%100
YAM 322 - Advanced Algorithms	5
46 - Mathematics and Statistics		%40
48 - Computing		%30
52 - Engineering and Engineering Trades		%30
YAM 326 - 3D Modeling and Animation	5
52 - Engineering and Engineering Trades		%100
YAM 331 - Linux System Administration	5
52 - Engineering and Engineering Trades		%100
YAM 405 - Software Measurement and Testing	5
48 - Computing		%100
YAM 449 - Software Measurement and Testing	5
48 - Computing		%60
52 - Engineering and Engineering Trades		%40

Bölüm Başkanı - Dr. Öğr. Üyesi

Hakan GENÇOĞLU

hakan.gencoglu@izu.edu.tr 0212 692 87 82

Research Areas Kriptololoji, Güvenlik Mimarileri, Veri Güvenliği, Açık Kaynak Sistemler, DevOps, Mobil Uygulama Geliştirme, Blok Zincir ve Akıllı Sözleşmeler