Course Structure Diagram with Credits

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 App/Lab 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 App/Lab Local Credits ECTS
ELEC 004 Elective Course IV 3 0 3 7.5
ELEC 005 Elective Course V 3 0 3 7.5
GS 595 Seminar 0 0 0 7.5
POOL 009 System Courses 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GS 599 Master Thesis 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GS 599 Master Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory App/Lab 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 Software Engineering for Real-Time Systems 3 0 3 7.5
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
CE 611 Design Patterns and Code Refactoring 3 0 3 7.5
CE 612 Software Evolution and Maintenance 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 513 Mathematical Programming and Applications 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
IE 590 Advanced Topics in IE and OR 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 Advanced Data Analysis 3 0 3 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 App/Lab 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 App/Lab 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
Additional Notes

EXPLANATIONS
The students are required to take a total of 120 ECTS in order to complete the master program with thesis.

In order to graduate from the master program with thesis, the students are required to take 7 courses (one from theory pool, one from system pool, and five elective courses) in addition to GS 595 - Seminar, and GS 599 - Master Thesis courses.  

Students may take one elective course with code prefixed with "CE" or "SE" (provided that the course has 7.5 ECTS, 3 IUE Credits) from undergraduate level elective courses, unless they took the course during their undergraduate education.


 

If you need support for these courses due to your disability, please refer to Disability Support Unit. Contact; engelsiz@ieu.edu.tr

Curriculum (Before 2013)