Skip to main content

COMPUTER SCIENCE AND ENGINEERING (%30 ENGLISH) - DOCTORATE

About the Program

It consists of seven courses, seminar, proficiency exam, thesis proposal and dissertation study. (240 ECTS total) The normal duration of this program is 8 semesters and the maximum duration is 12 semesters.

a.In order for a student who is enrolled in a doctoral program to graduate, at least one of the following conditions must be fulfilled.

  1. Two papers presented at national or international scientific meetings,
  2. An article published in a peer-reviewed/ indexed journal, accepted for publication, or received a DOI number,
  3. Two papers presented at Social / Science symposiums organized by IZU.
Program Objectives & Goals

Objectives

  1. Bilgisayar Bilimi ve Mühendisliği alanlarında öğretim üyelerinin araştırma yapabilmesi için insan kaynağına ihtiyaç vardır ve lisansüstü öğrencileri özellikle doktora, bu amaçla araştırma projelerinin parçası olacaktır. Bilgisayar Bilimi ve Mühendisliği doktora Programı, öğrencilerin teorik ve pratik formasyon kazanmalarını sağlayacak şekilde yapılandırılmıştır. Program, Bilgisayar Bilimleri ve Mühendisliği konularını içermekte olup disipline arası özelliklere sahiptir.
  2. Doktora Programının amacı, Bilgisayar Bilimleri ve Mühendisliği konularında bilimsel araştırmalara katkıda bulunmak, ülkemizde gereksinim duyulan kaliteli öğretim üyesi ihtiyacını karşılayacak özgün çalışmalar yürütebilme becerisine sahip araştırmacılar yetiştirmektir. Bölümümüzde kablosuz algılayıcı ağları, yapay zeka, veri kümeleme, veri madenciliği, yazılım mühendisliği, sinyal işleme, robotik vb. konular üzerinde çalışmalar yapılmaktadır. Bilgisayar Mühendisliği Anabilim Dalı öğrencilerine araştırmalarında katkıda bulunmakta ve onlara yeni ve güncel çalışma alanları sunmaktadır.
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
Admission Requirements

-Bachelor degree in Computer Engineering or Software Engineering and graduate degree in Computer Engineering / Computer Science and Engineering or Software Engineering with thesis 

-Candidates coming from outside the field are applied scientific preparation program.

-Get at least 55 points from ALES (SAY-point type),

-To get a score of at least 55 from YDS or YÖKDİL, or from the foreign language exams accepted as equivalent by ÖSYM,

-Graduates of the Master's program without thesis cannot apply to the doctoral program. However, students who are enrolled in non-thesis master's programs and who have graduated before 06/02/2013 can apply to the doctoral program,

-The courses of this program are given in İstanbul Sabahattin Zaim University Halkalı campus. 

Graduation Requirements

Completing the courses successfully, with a GPA at 3.00 or above, and being successful in the thesis examination; for the student who submitted at least two copies of the bound thesis to the Institute within one month from the date of entrance to the thesis examination and whose theses endorsed by the format shall be granted by a doctoral diploma / Ph.D..

Access to Further Studies

The students graduating from this program may apply to Postdoctoral Programs.

2019-2020
Study Plan

1th Semester

Number of Compulsory Courses: 4 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
BLS 001 Departmental Elective Course Departmental ElectiveTurkish30037.53
BLS 002 Departmental Elective Course Departmental ElectiveTurkish30037.53
BLS 003 Departmental Elective Course Departmental ElectiveTurkish30037.53
BLS 004 Departmental Elective Course Departmental ElectiveEnglish30037.53
Total:12001230,012,0

1th Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 505 Machine Learning Departmental ElectiveEnglish30037.53
CSE 507 Distributed Systems Departmental ElectiveTurkish30037.53
CSE 509 Wireless Sensor Networks Departmental ElectiveTurkish30037.53
CSE 511 Image Processing Departmental ElectiveEnglish30037.53
CSE 513 Information Retrieval Departmental ElectiveTurkish30037.53
CSE 515 Multimedia Systems Departmental ElectiveTurkish30037.53
CSE 517 Data Analysis and Visualization Departmental ElectiveEnglish30037.53
CSE 519 New Trends in Information and Communication Technologies-I Departmental ElectiveTurkish30037.53
CSE 521 Machine Translation Departmental ElectiveEnglish30037.53
CSE 597 Scientific Research Methods Departmental ElectiveTurkish30037.53
CSE 603 Advanced Artificial Intelligence Departmental ElectiveEnglish30037.53
CSE 605 Parallel Algorithms Departmental ElectiveTurkish30037.53
CSE 607 Pattern-Recognition Departmental ElectiveTurkish30037.53
CSE 609 Big Data Systems Departmental ElectiveEnglish30037.53
CSE 611 Introduction to Social Networks Departmental ElectiveTurkish30037.53
CSE 613 Advanced Computer Architecture Departmental ElectiveTurkish30037.53
CSE 615 Advanced Systems Integration Departmental ElectiveTurkish30037.53
CSE 617 Mobile Robots Modelling and Controling Departmental ElectiveTurkish30037.53
CSE 619 Natural Language Processing Departmental ElectiveEnglish30037.53
CSE 621 Advanced Data Mining Departmental ElectiveEnglish30037.53
CSE 623 Smart Grid Departmental ElectiveEnglish30037.53
CSE 625 Deep Learning Departmental ElectiveTurkish30037.53
CSE 627 Internet of Things Departmental ElectiveTurkish30037.53
CSE 629 Advanced Algorithms I Departmental ElectiveTurkish30037.53
CSE 631 Advanced Topics in Network Systems Departmental ElectiveTurkish30037.53
CSE 633 Advanced Topics in Software Engineering Departmental ElectiveTurkish30037.53
CSE 635 Advanced Topics in Robotics Departmental ElectiveTurkish30037.53
Total:810081202,581,0

2nd Semester

Number of Compulsory Courses: 4 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 699 Seminar CompulsoryTurkish20027.52
BLS 001 Departmental Elective Course Departmental ElectiveTurkish30037.53
BLS 002 Departmental Elective Course Departmental ElectiveTurkish30037.53
BLS 003 Departmental Elective Course Departmental ElectiveEnglish30037.53
Total:11001130,011,0

2nd Semester Elective Courses

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 506 Computer Networks and Communications Departmental ElectiveEnglish30037.53
CSE 508 Cloud Computing Departmental ElectiveEnglish30037.53
CSE 510 Advanced Software Engineering Departmental ElectiveTurkish30037.53
CSE 512 Human-Computer Interaction Departmental ElectiveTurkish30037.53
CSE 514 Real-Time Systems Departmental ElectiveTurkish30037.53
CSE 516 Debugger Design Departmental ElectiveTurkish30037.53
CSE 520 New Trends in Information and Communication Technologies-II Departmental ElectiveTurkish30037.53
CSE 602 Mobile Ad-hoc Network Departmental ElectiveEnglish30037.53
CSE 604 Cryptography and Computer Security Departmental ElectiveTurkish30037.53
CSE 606 Artificial Neural Networks Departmental ElectiveTurkish30037.53
CSE 607 Pattern-Recognition Departmental ElectiveTurkish30037.53
CSE 608 The Quality of the Software and Measuring Means Departmental ElectiveTurkish30037.53
CSE 609 Big Data Systems Departmental ElectiveEnglish30037.53
CSE 610 Advanced Natural Language Processing Departmental ElectiveEnglish30037.53
CSE 612 Machine Vision Departmental ElectiveTurkish30037.53
CSE 616 Digital Signal Processing Departmental ElectiveEnglish30037.53
CSE 618 Numerical VLSI Testing Departmental ElectiveEnglish30037.53
CSE 622 Adaptive Control Systems Departmental ElectiveEnglish30037.53
CSE 624 Numerical Methods in Engineering Departmental ElectiveTurkish30037.53
CSE 626 Introduction to General Purpose GPU Programming Departmental ElectiveTurkish30037.53
CSE 628 Special Topics in Control and Automation Systems Departmental ElectiveTurkish30037.53
CSE 630 Advanced Algorithms II Departmental ElectiveTurkish30037.53
CSE 632 Advanced Topics in Data Science Departmental ElectiveTurkish30037.53
CSE 634 Advanced Topics in Computer Science Departmental ElectiveTurkish30037.53
CSE 636 High Performance Computing with GPU Departmental ElectiveTurkish30037.53
Total:750075187,575,0

3rd Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish30031803
Total:3003180,03,0

4th Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish0000300
Total:000030,00,0

5th Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish0000300
Total:000030,00,0

6th Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish0000300
Total:000030,00,0

7th Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish0000300
Total:000030,00,0

8th Semester

Number of Compulsory Courses: 1 Number of Elective Courses: 0

CodeCourse NameTypeLanguage of InstructionTPLHECTSCr.
CSE 600 PhD Thesis CompulsoryTurkish0000300
Total:000030,00,0

Course Load Summary

Course Load SummaryTPLHECTSCr.
Grand Total (Number of Courses: 14)260026390,026,0
Compulsory Course Total (Number of Courses: 7)5005337,55,0
Elective Course Total (Number of Courses: 7)21002152,521,0
Course TypeNumber of CoursesRatio (%)
Zorunlu Ders750,00
Seçmeli Ders750,00
Bölüm Dışı Seçmeli Ders00,00

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