StudyQA — Master: Computer Engineering (With Thesis) Program

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Description Contents Requirements

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