PhD

Computer Engineering Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 10 k / Year(s) Foreign:$ 10 k / Year(s)  
StudyQA ranking:2071 Duration:4 years

Photos of university / #izmirekonomiuni

Ever increasing spread of information technology into people’s daily lifes calls for a constantly escalating intensity in scientific research and study. The Computer Engineering doctorate program, with this intention, paves the way for students to contribute to the world of science by giving them all the tools and the know-how required for an advanced study.

 

To see the course details (such as objectives, learning outcomes, content, assessment and ECTS workload), click the relevant Course Code given in the table below.

1. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
ELEC 001   Elective Course I 3 0 3 7.5
ELEC 002   Elective Course II 3 0 3 7.5
ELEC 003   Elective Course III 3 0 3 7.5
POOL 008   Theoretical Courses 3 0 3 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 695   Seminar 0 0 0 7.5
ELEC 004   Elective Course IV 3 0 3 7.5
ELEC 005   Elective Course V 3 0 3 7.5
POOL 009   System Courses 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 697   Individual Studies in Computer Engineering 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 698   Thesis Proposal in Computer Engineering 0 0 0 30
Total : 30
3. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 699   Thesis 0 0 0 30
Total : 30
3. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 699   Thesis 0 0 0 30
Total : 30
4. Year Fall Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 699   Thesis 0 0 0 30
Total : 30
4. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 699   Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 601   Advanced Algorithms 3 0 3 7.5
CE 602   Advanced Computer Architecture 3 0 3 7.5
CE 603   Advanced Distributed Database Systems 3 0 3 7.5
CE 604   Advanced Computer Graphics 3 0 3 7.5
CE 605   Wireless Sensor Networks 3 0 3 7.5
CE 606   Video Coding and Decoding 3 0 3 7.5
CE 607   Information Security 3 0 3 7.5
CE 608   Formal Specification and Verification of Concurrent Systems 3 0 3 7.5
CE 609   Advanced Numerical Analysis 3 0 3 7.5
POOL 008 - Theoretical Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 518   Advanced Computing Theory 3 0 3 7.5
CE 601   Advanced Algorithms 3 0 3 7.5
POOL 009 - System Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 513   Advanced Operating Systems 3 0 3 7.5
CE 516   Advanced Computer Networks & Communication 3 0 3 7.5
CE 602   Advanced Computer Architecture 3 0 3 7.5
 

The students studying in this Ph.D program are required:

Take at least 7 courses with 21 local credits (Master degree holders),

Take at least 14 courses with 42 local credits (Undergraduate degree holders),

Take 240 ECTS and obtain a GPA of 3.00 over 4.00 (Master degree holders),

Take 300 ECTS and obtain a GPA of 3.00 over 4.00 (Undergraduate degree holders),

Pass the proficiency exam,

Succeed in thesis proposal and thesis exam,

Prepare and defend a doctoral thesis,

Score at least CC/S in all the master program courses required by the program, and at least CB/S in all the doctoral program courses.

B-2- FOREIGN NATIONALS:

To hold an Undergraduate or Master Degree with Thesis Diploma (Students, who enrolled to non-thesis master programs before February 06, 2013, are not required to hold “Master Degree with Thesis Diploma”.),

To graduate from undergraduate program (4 year) of Departments of Mathematics, Statistics, Chemistry, Biology, or Physics, Mathematical Engineering, Computer Engineering, Software Engineering, Industrial Engineering, Industrial Systems Engineering, Electrical Electronics Education, Economics, Logistics Management, Finance, or Financial Mathematics to apply for Applied Mathematics or Statistics master program,

To obtain the scores in the exams specified below, or obtain an equivalent score in the internationally recognized foreign language exams that are deemed equivalent to the exams specified below by the Higher Education Board,

 

Type of Exam

Score

KPDS ( Public Personnel Language Exam )

70*

UDS ( Interuniversity Foreign Language Exam )

70*

YDS (Foreign Language Placement Exam)

70 *

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