(Between the 2013-2019 Academic Years) 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
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
ELEC 001Elective Course I3037.5
ELEC 002Elective Course II3037.5
ELEC 003Elective Course III3037.5
POOL 008Theoretical Courses3037.5
Total 30
1. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
ELEC 004Elective Course IV3037.5
ELEC 005Elective Course V3037.5
POOL 009System Courses3037.5
GS 595Seminar0007.5
Total 30
2. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
GS 599Master Thesis00030
Total 30
2. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
GS 599Master Thesis00030
Total 30
Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
3036
CE 531Machine Learning3037.5
CE 532Applied Quantum Machine Learning3037.5
CE 533Artificial Intelligence3037.5
CE 534Intelligent Agents and Multi Agent Planning3037.5
CE 535Software Engineering for Real-Time Systems3037.5
CE 536Human-Computer Interaction3037.5
CE 603Advanced Distributed Database Systems3037.5
CE 604Advanced Computer Graphics3037.5
CE 605Wireless Sensor Networks3037.5
CE 606Video Coding and Decoding3037.5
CE 607Information Security3037.5
CE 608Formal Specification and Verification of Concurrent Systems3037.5
CE 609Advanced Numerical Analysis3037.5
CE 610Sparse Approximation Algorithms3037.5
CE 611Design Patterns and Code Refactoring3037.5
CE 612Software Evolution and Maintenance3037.5
EEE 501Applied Digital Image Processing3037.5
EEE 502Pattern Recognition3037.5
EEE 504Bankaları / Wavelets and Filter Banks3037.5
EEE 505Biomedical Signals and Instrumentations3037.5
EEE 506Adaptive Signal Processing3037.5
EEE 509Selected Topics in Signal Processing3037.5
EEE 511Artificial Neural Networks for Signal Processing and Control3037.5
EEE 512 Optimal Control3037.5
EEE 533Digital VLSI Design3037.5
EEE 542Detection and Estimation Theory3037.5
EEE 543Basics of Wireless Communications3037.5
EEE 561Microprocessor Systems3037.5
EEE 562Real-Time Signal Processing3037.5
EEE 601Fast Filtering Algorithms3037.5
EEE 602Video Processing3037.5
EEE 612Chaos and Fractals3037.5
EEE 652Stochastic Processes3037.5
IE 509Heuristics3037.5
IE 510Discrete Optimization3037.5
IE 513 Mathematical Programming and Applications 3037.5
IE 520Constraint Programming3037.5
IE 530Evolutionary Algorithms3037.5
IE 532Advanced Scheduling Systems3037.5
IE 590Advanced Topics in IE and OR3037.5
MATH 504Statistics3037.5
MATH 553Optimization3037.5
MATH 554Basic Topics in Mathematics3037.5
MATH 602Advanced Linear Algebra and Optimization3037.5
MATH 658Advanced Data Analysis3037.5
MATH 659Graph Theory3037.5
MATH 662Cryptography3037.5
MATH 663Biomathematics3037.5
MATH 667Theory of Finite Elements3037.5
MATH 668Spectral Analysis of Differential Operators3037.5
MATH 671Fuzzy Optimization3037.5
POOL 008 - Theoretical Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
CE 518Advanced Computing Theory 3037.5
CE 601Advanced Algorithms3037.5
POOL 009 - System Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
CE 513Advanced Operating Systems3037.5
CE 516Advanced Computer Networks & Communication3037.5
CE 602Advanced Computer Architecture3037.5
Restricted Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
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