Computer Engineering (With Thesis) Program

Study mode:On campus Study type:Full-time Languages: English
Local:$ 10 k / Year(s) Foreign:$ 10 k / Year(s)  
StudyQA ranking:2155 Duration:2 years

Photos of university / #izmirekonomiuni

M.Sc. in Computer Engineering program launched in İzmir University of Economics aims to graduate qualified engineers who have the skills to work in teams operating possibly in the intersection of many disciplines, have broad theoretical and practical knowledge in all the core areas of computer engineering, and also are proficient enough in one of these areas to conduct scientific research. The students with a M.Sc. in computer engineering degree can work in the industry at jobs particularly with a research and development dimension as well as continue an academic career by enrolling in relevant Ph.D. programs.

 

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 0 0 0 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 595   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 599   Thesis 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 599   Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory Application/Laboratory Local Credits ECTS
CE 531   Machine Learning 3 0 3 7.5
CE 533   Artificial Intelligence 3 0 3 7.5
CE 534   Intelligent Agents and Multi Agent Planning 3 0 3 7.5
CE 535   Modeling the Real time Systems with UML 0 0 0 0
CE 536   Human-Computer Interaction 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
EEE 501   Applied Digital Image Processing 3 0 3 7.5
EEE 502   Pattern Recognition 3 0 3 7.5
EEE 504   Bankaları / Wavelets and Filter Banks 3 0 3 7.5
EEE 505   Biomedical Signals and Instrumentations 3 0 3 7.5
EEE 506   Adaptive Signal Processing 3 0 3 7.5
EEE 509   Selected Topics in Signal Processing 3 0 3 7.5
EEE 511   Artificial Neural Networks for Signal Processing and Control 3 0 3 7.5
EEE 512   Optimal Control 3 0 3 7.5
EEE 533   Digital VLSI Design 3 0 3 7.5
EEE 542   Detection and Estimation Theory 3 0 3 7.5
EEE 543   Basics of Wireless Communications 3 0 3 7.5
EEE 561   Microprocessor Systems 3 0 3 7.5
EEE 562   Real-Time Signal Processing 3 0 3 7.5
EEE 601   Fast Filtering Algorithms 3 0 3 7.5
EEE 602   Video Processing 3 0 3 7.5
EEE 612   Chaos and Fractals 3 0 3 7.5
EEE 652   Stochastic Processes 3 0 3 7.5
IE 509   Heuristics 3 0 3 7.5
IE 510   Discrete Optimization 3 0 3 7.5
IE 520   Constraint Programming 3 0 3 7.5
IE 530   Evolutionary Algorithms 3 0 3 7.5
IE 532   Advanced Scheduling Systems 3 0 3 7.5
MATH 504   Statistics 3 0 3 7.5
MATH 553   Optimization 3 0 3 7.5
MATH 554   Basic Topics in Mathematics 3 0 3 7.5
MATH 602   Advanced Linear Algebra and Optimization 3 0 3 7.5
MATH 658   Data Analysis with Mathematica 3 0 3 7.5
MATH 659   Graph Theory 3 0 3 7.5
MATH 662   Cryptography 3 0 3 7.5
MATH 663   Biomathematics 3 0 3 7.5
MATH 667   Theory of Finite Elements 3 0 3 7.5
MATH 668   Spectral Analysis of Differential Operators 3 0 3 7.5
MATH 671   Fuzzy Optimization 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

B-2 FOREIGN NATIONALS:

To hold an Undergraduate Degree Diploma from a (4 year) higher education institution that is recognized by the Higher Education Board

To graduate from undergraduate program (4 year) of Departments of Industrial Engineering, System Engineering, Computer Sciences, Computer Engineering, Software Engineering, Electrical/ Electronics/Telecommunication Engineering, Information, Computer and Teaching Technologies Teaching,  Computer Education, Electrical Electronics Education, Computer Technologies, Mechatronics,  Mathematics, Physics, or related departments to apply for Computer Engineering master program,

To graduate from undergraduate program (4 year) of Departments Architecture, Interior Architecture, City and Regional Planning, and other related design fields to apply for Architecture master program,

To be exempt from foreign language proficiency, students need to meet the below requirements:

To be graduated from a higher education program in which the medium of instruction is the same language as in the master program applied for within three years following their graduation,

 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 )

65

UDS ( Interuniversity Foreign Language Exam )

65

YDS (Foreign Language Placement Exam)

65

IYS (IUE Proficiency in English Exam)

65

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