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COMPUTER ENGINEERING

About the Program

Computer Engineering Bachelor's Program is a 240 ECTS program with a normal graduation period of 4 academic years consisting of 8 semesters. The language of instruction is Turkish.


The Department of Computer Engineering was established with the aim of trained engineers with a strong technical infrastructure and a developed sense of social responsibility who can respond to today's rapidly changing and advancing information technology needs. The department offers a balanced and comprehensive education in the fields of computer software, hardware, and network structures. It also provides opportunities for students to increase their interdisciplinary knowledge base through courses such as Numerical Methods, Interdisciplinary Research and Application Design, Physics, and English. As a result, students graduate as individuals capable of designing and developing information systems by blending theory with practice.

Opportunities Offered to Students:

Opportunity to learn a foreign language (free of charge),
Opportunity to pursue a minor (with a scholarship during the normal duration of the major program),
Opportunity to pursue a double major (with a scholarship during the normal duration of the double major program),
Opportunity to study abroad through international exchange programs (1 or 2 semesters),
Opportunity to continue to graduate programs after graduation.

Career Opportunities:

After completing their undergraduate education, graduates of the department can enter the workforce as professionals specializing in areas such as software development, system analysis, data center management, database management, computer networks, and security, earning the title of “Computer Engineer.” Graduates also have the opportunity to pursue an academic career and contribute to research and education activities at universities. Graduates can take on many different roles, such as network designer, system programmer, application programmer, end-user support specialist, artificial intelligence specialist, game developer, mobile application developer, web developer, DevOps developer, information security specialist, and data engineer, and play an active role in various areas of the information technology sector.

 

Program Objectives & Goals

Objectives

  1. They work as engineers, specialists, or managers in national and international organizations, developing innovative software, hardware, and system solutions to complex engineering problems in the field of Computer Engineering.
  2. They conduct research that contributes to scientific and technological advancements by completing postgraduate studies at universities and research centers in Türkiye or abroad, or by working in research and development units.
  3. They leverage emerging technologies in computer engineering and their entrepreneurial skills to develop value-added products and services, establish new ventures, or contribute to digital transformation processes.
  4. They conduct their work in accordance with professional ethical principles, environmental sustainability, and social responsibility, while undertaking effective communication and leadership roles in multidisciplinary teams.
Program Learning Outcomes

KNOWLEDGE

  1. Sufficient knowledge in mathematics, science and related engineering disciplines; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems.
  2. The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
  3. Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.

SKILL

  1. The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
  2. Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively.
  3. Ability to design experiments, conduct experiments, collect data, analyze and interpret the results of complex engineering problems or discipline-specific research topics.

COMPETENCE

  1. Knowledge and awareness about the management, control, development and security/reliability of Information Technologies.
  2. The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
  3. Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
  4. Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications.
  5. Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development.
  6. Information on the effects of engineering applications on health, environment and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions.
  1. Sufficient knowledge in mathematics, science and related engineering disciplines; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems.
  2. The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
  3. The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
  4. Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively.
  5. Ability to design experiments, conduct experiments, collect data, analyze and interpret the results of complex engineering problems or discipline-specific research topics.
  6. Knowledge and awareness about the management, control, development and security/reliability of Information Technologies.
  7. The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
  8. Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
  9. Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications.
  10. Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development.
  11. Information on the effects of engineering applications on health, environment and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions.
  12. Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
Subject-Specific QualificationsProgramme Learning Outcomes
KNOWLEDGE
Theoretical / Conceptual
  • Matematik, fen bilimleri ve kendi dalları ile ilgili mühendislik konularında yeterli altyapıya sahiptir.
  • Sufficient knowledge in mathematics, science and related engineering disciplines; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems.
  • The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose.
  • Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions.
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.
  • The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
  • Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively.
  • Ability to design experiments, conduct experiments, collect data, analyze and interpret the results of complex engineering problems or discipline-specific research topics.
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.
  • The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
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.
  • Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
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.
  • Knowledge and awareness about the management, control, development and security/reliability of Information Technologies.
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.
  • Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications.
  • Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development.
  • Information on the effects of engineering applications on health, environment and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions.
Relationship Between Programme Learning Outcomes and Objectives
KNOWLEDGEOBJECTIVET%
Theoretical / ConceptualO1O2O3O4
1Sufficient knowledge in mathematics, science and related engineering disciplines; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems. 0 - 5 VH ✔ 5 VH ✔ 4 H ✔14%70,00
2The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 5 VH ✔ 3 M ✔ 4 H ✔ 3 M ✔15%75,00
3Ability to communicate effectively in Turkish, both verbally and in writing; knowledge of at least one foreign language; ability to write and understand written reports effectively, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. 0 - 0 - 0 - 0 - 0%0,00
SKILLOBJECTIVET%
Cognitive / PraticalO1O2O3O4
1The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. 3 M ✔ 3 M ✔ 4 H ✔ 0 - 10%50,00
2Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively. 2 L ✔ 3 M ✔ 3 M ✔ 4 H ✔12%60,00
3Ability to design experiments, conduct experiments, collect data, analyze and interpret the results of complex engineering problems or discipline-specific research topics. 3 M ✔ 3 M ✔ 3 M ✔ 3 M ✔12%60,00
COMPETENCEOBJECTIVET%
Communication and Social CompetenceO1O2O3O4
1Knowledge and awareness about the management, control, development and security/reliability of Information Technologies. 3 M ✔ 3 M ✔ 3 M ✔ 3 M ✔12%60,00
Competence to Work Independently and Take ResponsibilityO1O2O3O4
1The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. 3 M ✔ 4 H ✔ 3 M ✔ 3 M ✔13%65,00
Learning CompetenceO1O2O3O4
1Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. 5 VH ✔ 4 H ✔ 5 VH ✔ 4 H ✔18%90,00
Field Specific CompetenceO1O2O3O4
1Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔20%100,00
2Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development. 4 H ✔ 3 M ✔ 4 H ✔ 4 H ✔15%75,00
3Information on the effects of engineering applications on health, environment and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions. 3 M ✔ 4 H ✔ 4 H ✔ 5 VH ✔16%80,00
NUMBER OF PROGRAMME LEARNING OUTCOMES (12)10111110--
WEIGHT36404338--
PERCENTAGE%60,00%66,67%71,67%63,33--
CONTRIBUTION LEVEL - NONE [0] (-)2112
CONTRIBUTION LEVEL - LOW [2] (L)1000
CONTRIBUTION LEVEL - MEDIUM [3] (M)5644
CONTRIBUTION LEVEL - HIGH [4] (H)1344
CONTRIBUTION LEVEL - VERY HIGH [5] (VH)3232

* T: Total, %: Percentage

O1 — They work as engineers, specialists, or managers in national and international organizations, developing innovative software, hardware, and system solutions to complex engineering problems in the field of Computer Engineering.

O2 — They conduct research that contributes to scientific and technological advancements by completing postgraduate studies at universities and research centers in Türkiye or abroad, or by working in research and development units.

O3 — They leverage emerging technologies in computer engineering and their entrepreneurial skills to develop value-added products and services, establish new ventures, or contribute to digital transformation processes.

O4 — They conduct their work in accordance with professional ethical principles, environmental sustainability, and social responsibility, while undertaking effective communication and leadership roles in multidisciplinary teams.

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

COMPUTER ENGINEERING  is a Bachelor's Degree Programme with 240 ECTS Credits meets the minimum level (cycle) requirements, in terms of ECTS Credits and level descriptors, of the first cycle degree qualifications of the Overarching Framework of European Qualifications Framework of HE(QF-EHEA) as well as the 6th levels of qualifications of the both the Turkish Qualifications Framework for HE (TYYÇ, NQF-HETR) and the European Qualifications Framework for Lifelong Learning (EQF-LLL) in terms of the later.

Students, upon successfully completing this study programme is awarded the qualification of BACHELOR'S DEGREE IN COMPUTER ENGINEERİNG

Admission Requirements

Admission of national students to the COMPUTER 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 Procedures in 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

The degree is awarded to students who successfully completes a minimum of 240 ECTS from the course units of the programme with a  grade point average (GPA) of at least 2.00 out of 4.00.

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 ofsuch implementations are outlined in the relevant section of our Education and Examination Regulations, Rules & Regulations for Graduate Programmes and that of Regulations for Lateral Transfer of Students.

Employment Opportunities

After completing their undergraduate education, graduates of the department can enter the workforce as professionals specializing in areas such as software development, system analysis, data center management, database management, computer networks, and security, earning the title of “Computer Engineer.” Graduates also have the opportunity to pursue an academic career and contribute to research and education activities at universities. Graduates can take on many different roles, such as network designer, system programmer, application programmer, end-user support specialist, artificial intelligence specialist, game developer, mobile application developer, web developer, DevOps developer, information security specialist, and data engineer, and play an active role in various areas of the information technology sector.

Access to Further Studies

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

Study Plan

1th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
ATA 101 Ataturk’s Principles and History of Turkish Revolution I CompulsoryTurkish200232
BIM 109 Introduction to Algorithms and Programming CompulsoryTurkish202453
FIZ 103 Physics Lab I CompulsoryTurkish002221
FIZ 105 Physics I CompulsoryTurkish300343
MAT 115 Mathematics I CompulsoryTurkish400464
MUH 101 Engineering Principles and Ethics CompulsoryTurkish200232
TUR 101 Turkish Language I CompulsoryTurkish200232
YDL 101 English I CompulsoryEnglish300343
Total:18042230,020,0

2nd Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
ATA 102 Ataturk’s Principles and History of Turkish Revolution II CompulsoryTurkish200232
BIM 112 Object Oriented Programming CompulsoryTurkish202443
FIZ 104 Physics Lab II CompulsoryTurkish002221
FIZ 106 Physics II CompulsoryTurkish300343
MAT 104 Linear Algebra CompulsoryTurkish300343
MAT 116 Mathematics II CompulsoryTurkish400464
TUR 102 Turkish Language II CompulsoryTurkish200232
YDL 102 English II CompulsoryEnglish300343
Total:19042330,021,0

3rd Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 219 Computing Systems CompulsoryTurkish300353
BIM 227 Data Structures CompulsoryTurkish201362.5
BIM 229 Database Systems CompulsoryTurkish102362
IST 201 Probability and Statistics CompulsoryTurkish300353
MAT 203 Discrete Mathematics CompulsoryTurkish300353
IZU ORT-1 IZU Common Elective IZU Common ElectiveTurkish200232
Total:14031730,015,5

4th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 218 Microprocessors and Microcontrollers CompulsoryTurkish200232
BIM 220 Microprocessors and Microcontrollers Laboratory CompulsoryTurkish002221
BIM 222 Algorithm Analysis CompulsoryTurkish201362.5
BIM 230 System Analysis and Design CompulsoryTurkish300363
MAT 222 Differential Equations CompulsoryTurkish300353
MAT 232 Numerical Methods CompulsoryTurkish400454
IZU ORT-2 IZU Common Elective IZU Common ElectiveTurkish200232
Total:16031930,017,5

5th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 323 Operating Systems CompulsoryTurkish201362.5
BIM 327 Computer Organization CompulsoryTurkish300363
BIM 397 Internship I InternshipTurkish000050
BLS 001 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveTurkish201352.5
IZU ORT-3 IZU Common Elective IZU Common ElectiveTurkish200232
Total:11031430,012,5

5th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 319 Yapay Zeka ve Uygulamaları Departmental ElectiveTurkish201352.5
BIM 321 Real-Time Programming Departmental ElectiveTurkish201352.5
BIM 329 Special Topics in Computer Engineering – I Departmental ElectiveTurkish201352.5
BIM 331 Linux System Administration Departmental ElectiveTurkish201352.5
MTH 301 Software Test Engineering (Architecht Information Systems and Marketing Trade Inc.) Departmental ElectiveTurkish300353
Total:11041525,013,0

6th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 324 Mobile Application Development CompulsoryTurkish201362.5
BIM 334 Software Design and Architecture CompulsoryTurkish201362.5
MUH 302 Interdisciplinary Research and Practice Design CompulsoryTurkish100131
BIM 396 Internship II InternshipTurkish000020
BLS 001 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveTurkish201352.5
IZU ORT-4 IZU Common Elective IZU Common ElectiveTurkish200232
Total:11041530,013,0

6th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 320 Image Processing Departmental ElectiveTurkish201352.5
BIM 322 Machine Learning and Applications Departmental ElectiveTurkish201352.5
BIM 330 Special Topics in Computer Engineering – II Departmental ElectiveTurkish201352.5
BIM 332 Web Programming Departmental ElectiveTurkish201352.5
BIM 336 Modern Kontrole Giriş Departmental ElectiveTurkish201352.5
BIM 338 Digital Signal Processing Departmental ElectiveTurkish201352.5
MTH 302 Milli Teknoloji Hamlesi Departmental ElectiveTurkish300353
Total:15062135,018,0

7th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 421 Computer Networks CompulsoryTurkish201352.5
BLS 001 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 003 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 004 Departmental Elective Course Departmental ElectiveTurkish201352.5
BIM 441 Graduation Study-I Graduation StudyTurkish200252
Total:12051730,014,5

7th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 423 Machine Vision Departmental ElectiveTurkish201352.5
BIM 427 Game Programming Departmental ElectiveTurkish201352.5
BIM 429 Data Mining Departmental ElectiveTurkish201352.5
BIM 431 Formal Languages ​​and Automata Theory Departmental ElectiveTurkish201352.5
BIM 435 Applied Neural Networks Departmental ElectiveTurkish201352.5
BIM 437 Bilgisayar ve Ağ Güvenliği Departmental ElectiveTurkish201352.5
BIM 443 Embedded Systems Departmental ElectiveTurkish201352.5
MTH 401 Milli Teknoloji Hamlesi Departmental ElectiveTurkish300353
Total:17072440,020,5

8th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
ISG 402 Occupational Health and Safety CompulsoryTurkish200232
BLS 001 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 003 Departmental Elective Course Departmental ElectiveTurkish201352.5
BLS 004 Departmental Elective Course Departmental ElectiveTurkish201352.5
BIM 442 Graduation Project-II Graduation StudyTurkish200272
Total:12041630,014,0

8th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 404 System Programming Departmental ElectiveTurkish201352.5
BIM 408 Wireless Network Technologies and Applications Departmental ElectiveTurkish201352.5
BIM 430 Deep Learning Departmental ElectiveTurkish201352.5
BIM 432 Natural Language Processing Departmental ElectiveTurkish201352.5
BIM 434 Fuzzy Logic Departmental ElectiveTurkish201352.5
BIM 436 Digital Media Processing Departmental ElectiveTurkish201352.5
BIM 438 Human - Computer Interaction Departmental ElectiveTurkish201352.5
MTH 402 Milli Teknoloji Hamlesi Departmental ElectiveTurkish300353
MUH 402 Workplace Vocational Training Application Departmental ElectiveTurkish3003203
Total:20072760,023,5

Course Load Summary

Course Load SummaryTPLHECTSCr.
Grand Total (Number of Courses: 54)113030143240,0128,0
Compulsory Course Total (Number of Courses: 38)8101899168,090,0
Elective Course Total (Number of Courses: 16)320124472,038,0
Course TypeNumber of CoursesRatio (%)
Zorunlu Ders3870,37
Seçmeli Ders1629,63
Bölüm Dışı Seçmeli Ders916,67

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

Core Area Distribution
Core AreaTotal ECTSRatio (%)
Engineering and Engineering Trades59.823.2%
Engineering and Engineering Trades54.521.2%
Computing36.714.3%
Computing34.513.4%
Mathematics and Statistics30.511.9%
Humanities124.7%
Mathematics and Statistics11.54.5%
Teacher Training and Education Science83.1%
Physical Sciences62.3%
Social and Behavioural Science0.60.2%
Architecture and Building0.60.2%
Health0.60.2%
Security Services0.60.2%
Physical Sciences0.50.2%
Humanities0.30.1%
Social and Behavioural Science0.30.1%
Business and Administration0.30.1%
Course Category List

Compulsory Courses

CourseECTSRatio (%)
ATA 101 - Ataturk’s Principles and History of Turkish Revolution I3
22 - Humanities%90
31 - Social and Behavioural Science%10
ATA 102 - Ataturk’s Principles and History of Turkish Revolution II3
22 - Humanities%90
31 - Social and Behavioural Science%10
BIM 109 - Introduction to Algorithms and Programming5
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 218 - Microprocessors and Microcontrollers3
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 219 - Computing Systems5
48 - Computing%60
52 - Engineering and Engineering Trades%40
BIM 220 - Microprocessors and Microcontrollers Laboratory2
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 222 - Algorithm Analysis6
46 - Mathematics and Statistics%40
48 - Computing%60
BIM 227 - Data Structures6
48 - Computing%60
52 - Engineering and Engineering Trades%40
BIM 229 - Database Systems6
48 - Computing%60
52 - Engineering and Engineering Trades%40
BIM 230 - System Analysis and Design6
46 - Mathematics and Statistics%10
48 - Computing%40
52 - Engineering and Engineering Trades%50
BIM 323 - Operating Systems6
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 324 - Mobile Application Development6
52 - Engineering and Engineering Trades%100
BIM 327 - Computer Organization6
48 - Computing%80
52 - Engineering and Engineering Trades%20
BIM 334 - Software Design and Architecture6
48 - Computing%40
52 - Engineering and Engineering Trades%60
BIM 397 - Internship I5
52 - Engineering and Engineering Trades%100
BIM 421 - Computer Networks5
46 - Mathematics and Statistics%20
48 - Computing%60
52 - Engineering and Engineering Trades%20
FIZ 103 - Physics Lab I2
44 - Physical Sciences%100
FIZ 104 - Physics Lab II2
46 - Mathematics and Statistics%20
52 - Engineering and Engineering Trades%80
FIZ 105 - Physics I4
44 - Physical Sciences%100
FIZ 106 - Physics II4
48 - Computing%20
52 - Engineering and Engineering Trades%80
ISG 402 - Occupational Health and Safety3
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 Statistics5
46 - Mathematics and Statistics%75
52 - Engineering and Engineering Trades%25
MAT 104 - Linear Algebra4
46 - Mathematics and Statistics%80
52 - Engineering and Engineering Trades%20
MAT 115 - Mathematics I6
46 - Mathematics and Statistics%60
52 - Engineering and Engineering Trades%40
MAT 116 - Mathematics II6
46 - Mathematics and Statistics%100
MAT 203 - Discrete Mathematics5
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 Methods5
46 - Mathematics and Statistics%60
52 - Engineering and Engineering Trades%40
MUH 101 - Engineering Principles and Ethics3
52 - Engineering and Engineering Trades%100
MUH 302 - Interdisciplinary Research and Practice Design3
52 - Engineering and Engineering Trades%100
TUR 101 - Turkish Language I3
22 - Humanities%100
TUR 102 - Turkish Language II3
22 - Humanities%100
YDL 101 - English I4
14 - Teacher Training and Education Science%100
YDL 102 - English II4
14 - Teacher Training and Education Science%100

Elective Courses

CourseECTSRatio (%)
BIM 320 - Image Processing5
22 - Humanities%5
46 - Mathematics and Statistics%30
48 - Computing%60
52 - Engineering and Engineering Trades%5
BIM 321 - Real-Time Programming5
48 - Computing%60
52 - Engineering and Engineering Trades%40
BIM 322 - Machine Learning and Applications5
46 - Mathematics and Statistics%50
52 - Engineering and Engineering Trades%50
BIM 329 - Special Topics in Computer Engineering – I5
46 - Mathematics and Statistics%30
48 - Computing%40
52 - Engineering and Engineering Trades%30
BIM 331 - Linux System Administration5
52 - Engineering and Engineering Trades%100
BIM 338 - Digital Signal Processing5
46 - Mathematics and Statistics%50
52 - Engineering and Engineering Trades%50
BIM 404 - System Programming5
46 - Mathematics and Statistics%20
48 - Computing%50
52 - Engineering and Engineering Trades%30
BIM 408 - Wireless Network Technologies and Applications5
48 - Computing%80
52 - Engineering and Engineering Trades%20
BIM 423 - Machine Vision5
52 - Engineering and Engineering Trades%100
BIM 427 - Game Programming5
48 - Computing%100
BIM 429 - Data Mining5
31 - Social and Behavioural Science%5
34 - Business and Administration%5
46 - Mathematics and Statistics%20
48 - Computing%40
52 - Engineering and Engineering Trades%30
BIM 431 - Formal Languages ​​and Automata Theory5
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 432 - Natural Language Processing5
46 - Mathematics and Statistics%30
48 - Computing%40
52 - Engineering and Engineering Trades%30
BIM 434 - Fuzzy Logic5
52 - Engineering and Engineering Trades%100
BIM 441 - Graduation Study-I5
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 442 - Graduation Project-II7
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 443 - Embedded Systems5
44 - Physical Sciences%10
48 - Computing%50
52 - Engineering and Engineering Trades%40
MUH 402 - Workplace Vocational Training Application20
52 - Engineering and Engineering Trades%100
Şengül BAYRAK
Bölüm Başkanı - Dr. Öğr. Üyesi

Şengül BAYRAK

sengul.bayrak@izu.edu.tr 0212 692 95 11
Research Areas Yapay Zeka, Makine Öğrenmesi, Doğal Dil İşleme, Sinyal İşleme, Görüntü İşleme
ARTRIM KJAMILJI
Dr. Öğr. Üyesi

ARTRIM KJAMILJI

artrim.kjamilji@izu.edu.tr
Research Areas Kuantum Sonrası Kriptografi, Makine Öğrenmesi, Nesnelerin İnterneti, Ağ Güvenliği, Büyük Veri Gizliliği
Ayşenur TOPBAŞ
Dr. Öğr. Üyesi

Ayşenur TOPBAŞ

aysenur.gencdogmus@izu.edu.tr 0212 692 89 68
Research Areas Veri Madenciliği, Büyük Veri, Veri Analizi
Erdal ALIMOVSKI
Dr. Öğr. Üyesi

Erdal ALIMOVSKI

erdal.alimovski@izu.edu.tr 0212692865
Research Areas Bilgisayarlı Görü, Robotik, Örüntü Tanıma, Üretken Ağlar
Oktay DOĞANGÜN
Dr. Öğr. Üyesi

Oktay DOĞANGÜN

oktay.dogangun@izu.edu.tr 0212 692 87 15
Research Areas Yüksek Enerji Fiziği
Sahra TİLKİ
Dr. Öğr. Üyesi

Sahra TİLKİ

sahra.tilki@izu.edu.tr 0212 692 88 38
Research Areas Derin Öğrenme, Makine Öğrenmesi, Görüntü İşleme
Halil Köse
Arş. Gör.

Halil Köse

halil.kose@izu.edu.tr
Research Areas Yazılım Gereksinim Analizi ve Modelleme, Yazılım Geliştirme Metodolojileri, Büyük Dil Modelleri, Gömülü Sistemler ve FPGA Teknolojileri
Süreyya ENGİN
Arş. Gör.

Süreyya ENGİN

sureyya.engin@izu.edu.tr 0212692895
Research Areas Makine Öğrenmesi