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SOFTWARE ENGINEERING (ENGLISH 30%)

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

  1. To give graduates who have mastery in English, who have sufficient knowledge of English as a foreign language required by professional terminology and who can express themselves orally and in written form in international studies.
  2. To train students who are knowledgeable in their own field by supporting technological elective courses that will contribute to the professional development of students other than compulsory main courses as well as interdisciplinary collaboration with intellectual accumulation and university co-lectures selected from other fields and social development.
  3. To gain the collecting of engineers who will serve the humanity by assimilating the values of our civilization, who will appreciate the knowledge and love to share their knowledge, who will learn to learn, who will not take responsibility, who will not only use existing technology but develop new technologies themselves.
  4. The aim is to train specialist personel who can lead in the changing world and technology conditions in the software sector, contribute to the developments in the technology, have the knowledge that the academic field and the software industry need in all sectors in the past, have researcher, questioner, analyst and team work.
  5. Using the increasingly interactive infrastructure, technical equipment and tools for software engineering to create research and development cultures that will transform education into the practice of practice, and to develop this potential to use knowledge in projects that will benefit society and the industrial environment.
Program Learning Outcomes

KNOWLEDGE

  1. Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; 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 apply probability calculations, statistics, computer science, and other supporting disciplines to complex software systems

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. The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
  2. Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
  3. Effective communication skills in oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive.
  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.
  7. Adequate skills in the analysis, design, verification, evaluation, implementation, implementation and maintenance of software systems
  8. Ability to work in at least one of the key application areas
  1. Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; 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. The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill.
  7. Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
  8. Effective communication skills in oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive.
  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. Adequate skills in the analysis, design, verification, evaluation, implementation, implementation and maintenance of software systems
  13. Ability to apply probability calculations, statistics, computer science, and other supporting disciplines to complex software systems
  14. Ability to work in at least one of the key application areas
Relationship Between Programme Learning Outcomes and Objectives
KNOWLEDGEOBJECTIVET%
Theoretical / ConceptualO1O2O3O4O5
1Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
2The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modeling methods for this purpose. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
3Ability to apply probability calculations, statistics, computer science, and other supporting disciplines to complex software systems 5 VH ✔ 1 VL ✔ 1 VL ✔ 2 L ✔ 2 L ✔11%44,00
SKILLOBJECTIVET%
Cognitive / PraticalO1O2O3O4O5
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. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
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. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
3Ability to design experiments, conduct experiments, collect data, analyze and interpret the results of complex engineering problems or discipline-specific research topics. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
COMPETENCEOBJECTIVET%
Competence to Work Independently and Take ResponsibilityO1O2O3O4O5
1The ability to work effectively in disciplinary and multidisciplinary teams; individual work skill. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
2Ability to work in at least one of the key application areas 5 VH ✔ 4 H ✔ 1 VL ✔ 5 VH ✔ 5 VH ✔20%80,00
Learning CompetenceO1O2O3O4O5
1Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
Communication and Social CompetenceO1O2O3O4O5
1Effective communication skills in oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
Field Specific CompetenceO1O2O3O4O5
1Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
2Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
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. 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
4Adequate skills in the analysis, design, verification, evaluation, implementation, implementation and maintenance of software systems 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔ 5 VH ✔25%100,00
NUMBER OF PROGRAMME LEARNING OUTCOMES (14)1414141414--
WEIGHT7065626767--
PERCENTAGE%100,00%92,86%88,57%95,71%95,71--
CONTRIBUTION LEVEL - VERY LOW [1] (VL)01200
CONTRIBUTION LEVEL - LOW [2] (L)00011
CONTRIBUTION LEVEL - HIGH [4] (H)01000
CONTRIBUTION LEVEL - VERY HIGH [5] (VH)1412121313

* T: Total, %: Percentage

O1 — To give graduates who have mastery in English, who have sufficient knowledge of English as a foreign language required by professional terminology and who can express themselves orally and in written form in international studies.

O2 — To train students who are knowledgeable in their own field by supporting technological elective courses that will contribute to the professional development of students other than compulsory main courses as well as interdisciplinary collaboration with intellectual accumulation and university co-lectures selected from other fields and social development.

O3 — To gain the collecting of engineers who will serve the humanity by assimilating the values of our civilization, who will appreciate the knowledge and love to share their knowledge, who will learn to learn, who will not take responsibility, who will not only use existing technology but develop new technologies themselves.

O4 — The aim is to train specialist personel who can lead in the changing world and technology conditions in the software sector, contribute to the developments in the technology, have the knowledge that the academic field and the software industry need in all sectors in the past, have researcher, questioner, analyst and team work.

O5 — Using the increasingly interactive infrastructure, technical equipment and tools for software engineering to create research and development cultures that will transform education into the practice of practice, and to develop this potential to use knowledge in projects that will benefit society and the industrial environment.

Contribution Level: 1 = Very Low 2 = Low 4 = High 5 = Very High
Contribution Level: VL = Very Low L = Low H = High VH = Very High
Contribution Level: ✔ = Has contribution
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.

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 CompulsoryEnglish200232
FIZ 103 Physics Lab I CompulsoryEnglish002221
FIZ 105 Physics I CompulsoryEnglish300343
MAT 115 Mathematics I CompulsoryEnglish400464
MUH 101 Engineering Principles and Ethics CompulsoryEnglish200232
TUR 101 Turkish Language I CompulsoryTurkish200232
YAM 107 Introduction to Algorithms and Programming CompulsoryEnglish102352
YDL 105 Advanced English I CompulsoryEnglish300343
Total:17042130,019,0

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 CompulsoryEnglish200232
FIZ 104 Physics Lab II CompulsoryEnglish002221
FIZ 106 Physics II CompulsoryEnglish300343
MAT 104 Linear Algebra CompulsoryEnglish300343
MAT 116 Mathematics II CompulsoryEnglish400464
TUR 102 Turkish Language II CompulsoryTurkish200232
YAM 110 Object Oriented Programming CompulsoryEnglish102342
YDL 106 Advanced English II CompulsoryEnglish300343
Total:18042230,020,0

3rd Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 219 Computing Systems CompulsoryEnglish300353
BIM 227 Data Structures CompulsoryEnglish201362.5
BIM 229 Database Systems CompulsoryTurkish102362
IST 201 Probability and Statistics CompulsoryEnglish300353
MAT 203 Discrete Mathematics CompulsoryEnglish300353
IZU ORT-1 IZU Common Elective IZU Common ElectiveEnglish200232
Total:14031730,015,5

4th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 222 Algorithm Analysis CompulsoryTurkish201362.5
BIM 226 Web Programming CompulsoryEnglish201362.5
MAT 222 Differential Equations CompulsoryEnglish300353
MAT 232 Numerical Methods CompulsoryTurkish400454
YAM 220 Software Quality Assurance CompulsoryTurkish102352
IZU ORT-2 IZU Common Elective IZU Common ElectiveEnglish200232
Total:14041830,016,0

5th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 323 Operating Systems CompulsoryTurkish201362.5
YAM 309 Software Architecture and Design CompulsoryTurkish300363
YAM 397 Internship I InternshipTurkish000050
BLS 001 Departmental Elective Course Departmental ElectiveEnglish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveEnglish201352.5
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 ElectiveEnglish201352.5
BIM 321 Real-Time Programming Departmental ElectiveTurkish201352.5
MTH 371 Milli Teknoloji Hamlesi Departmental ElectiveEnglish300353
YAM 331 Linux System Administration Departmental ElectiveTurkish201352.5
YAM 333 Yazılım Mühendisliği Özel Konular-I Departmental ElectiveEnglish201352.5
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
MUH 302 Interdisciplinary Research and Practice Design CompulsoryEnglish100131
YAM 334 System Analysis and Design CompulsoryTurkish300363
YAM 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:12031530,013,5

6th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 320 Image Processing Departmental ElectiveTurkish201352.5
BIM 322 Machine Learning and Applications Departmental ElectiveEnglish201352.5
MTH 372 Milli Teknoloji Hamlesi Departmental ElectiveEnglish300353
YAM 322 Advanced Algorithms Departmental ElectiveEnglish300353
YAM 326 3D Modeling and Animation Departmental ElectiveTurkish300353
Total:13021525,014,0

7th Semester

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

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
YAM 441 Graduation Study 1 CompulsoryEnglish200252
BLS 001 Departmental Elective Course Departmental ElectiveEnglish201352.5
BLS 002 Departmental Elective Course Departmental ElectiveEnglish201352.5
BLS 003 Departmental Elective Course Departmental ElectiveEnglish201352.5
BLS 004 Departmental Elective Course Departmental ElectiveEnglish201352.5
BLS 005 Departmental Elective Course Departmental ElectiveEnglish201352.5
Total:12051730,014,5

7th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 421 Computer Networks 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 ElectiveEnglish201352.5
BIM 439 Data Mining Departmental ElectiveTurkish201352.5
MTH 471 Milli Teknoloji Hamlesi Departmental ElectiveTurkish300353
YAM 415 Game Programming Departmental ElectiveEnglish201352.5
YAM 435 Machine Vision Departmental ElectiveTurkish201352.5
YAM 449 Software Measurement and Testing Departmental ElectiveTurkish201352.5
Total:19082745,023,0

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
YAM 442 Graduation Study 2 Graduation StudyEnglish200272
Total:12041630,014,0

8th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BIM 404 System Programming Departmental ElectiveEnglish201352.5
BIM 408 Wireless Network Technologies and Applications Departmental ElectiveEnglish201352.5
BIM 430 Deep Learning Departmental ElectiveTurkish201352.5
BIM 432 Natural Language Processing Departmental ElectiveEnglish201352.5
MTH 472 Milli Teknoloji Hamlesi Departmental ElectiveTurkish300353
MUH 402 Workplace Vocational Training Application Departmental ElectiveTurkish3003203
YAM 434 Human - Computer Interaction Departmental ElectiveTurkish300353
YAM 446 Digital Media Processing Departmental ElectiveTurkish201352.5
Total:19052455,021,5

Course Load Summary

Course Load SummaryTPLHECTSCr.
Grand Total (Number of Courses: 53)110030140240,0125,0
Compulsory Course Total (Number of Courses: 36)7601793163,084,5
Elective Course Total (Number of Courses: 17)340134777,040,5
Course TypeNumber of CoursesRatio (%)
Zorunlu Ders3667,92
Seçmeli Ders1732,08
Bölüm Dışı Seçmeli Ders2241,51

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 Trades55.824.3%
Engineering and Engineering Trades45.820%
Computing33.614.7%
Mathematics and Statistics30.113.1%
Computing24.510.7%
Humanities18.88.2%
Mathematics and Statistics9.54.1%
Physical Sciences62.6%
Social and Behavioural Science1.80.8%
Unknown / Unspecified1.20.5%
Architecture and Building0.60.3%
Health0.60.3%
Security Services0.60.3%
Humanities0.30.1%
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 219 - Computing Systems5
48 - Computing%60
52 - Engineering and Engineering Trades%40
BIM 222 - Algorithm Analysis6
46 - Mathematics and Statistics%40
48 - Computing%60
BIM 226 - Web Programming6
48 - Computing%60
52 - Engineering and Engineering Trades%20
99 - Unknown / Unspecified%20
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 323 - Operating Systems6
48 - Computing%50
52 - Engineering and Engineering Trades%50
BIM 324 - Mobile Application Development6
52 - Engineering and Engineering Trades%100
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
YAM 107 - Introduction to Algorithms and Programming5
48 - Computing%50
52 - Engineering and Engineering Trades%50
YAM 110 - Object Oriented Programming4
48 - Computing%50
52 - Engineering and Engineering Trades%50
YAM 220 - Software Quality Assurance5
48 - Computing%40
52 - Engineering and Engineering Trades%60
YAM 309 - Software Architecture and Design6
31 - Social and Behavioural Science%20
46 - Mathematics and Statistics%10
52 - Engineering and Engineering Trades%70
YAM 334 - System Analysis and Design6
46 - Mathematics and Statistics%10
48 - Computing%40
52 - Engineering and Engineering Trades%50
YAM 441 - Graduation Study 15
48 - Computing%40
52 - Engineering and Engineering Trades%60
YDL 105 - Advanced English I4
22 - Humanities%70
52 - Engineering and Engineering Trades%30
YDL 106 - Advanced English II4
22 - Humanities%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 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 421 - Computer Networks5
46 - Mathematics and Statistics%20
48 - Computing%60
52 - Engineering and Engineering Trades%20
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
MUH 402 - Workplace Vocational Training Application20
52 - Engineering and Engineering Trades%100
YAM 322 - Advanced Algorithms5
46 - Mathematics and Statistics%40
48 - Computing%30
52 - Engineering and Engineering Trades%30
YAM 326 - 3D Modeling and Animation5
52 - Engineering and Engineering Trades%100
YAM 331 - Linux System Administration5
52 - Engineering and Engineering Trades%100
YAM 449 - Software Measurement and Testing5
48 - Computing%60
52 - Engineering and Engineering Trades%40