(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
MATH 601Differential Equations3037.5
MATH 505Advanced Mathematical Analysis3037.5
ELEC 001Elective Course I3037.5
STAT 601Probability Theory and Mathematical Statistics3037.5
Total 30
1. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 602Advanced Linear Algebra and Optimization3037.5
ELEC 003Elective Course III3037.5
ELEC 002Elective Course II3037.5
MATH 695Seminar0007.5
Total 30
2. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 697Individual Studies in Applied Mathematics and Statistics00030
Total 30
2. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 698Thesis Proposal in Applied Mathematics and Statistics00030
Total 30
3. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 699Thesis00030
Total 30
3. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 699Thesis00030
Total 30
4. Year Fall Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 699Thesis00030
Total 30
4. Year Spring Semester
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 699Thesis00030
Total 30
Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
ECON 517Financial Econometrics3037.5
FM 506Stochastic Processes in Finance1435
IE 502Probabilistic Systems Analysis3037.5
IES 503Artificial Intelligence3037.5
IES 508System Simulation and Modeling3037.5
IES 509Heuristics3037.5
IES 511Machine Learning3037.5
IES 513Mathematical Programming and Applications3037.5
IES 534Nonlinear Programming3037.5
IES 570Criptology and Computer Security3037.5
MATH 504Statistics3037.5
MATH 508Partial Differential Equations3037.5
MATH 552Copula Theory and Its Application in Finance3037.5
MATH 553Optimization3037.5
MATH 554Basic Topics in Mathematics3037.5
MATH 555Financial Mathematics3037.5
MATH 600Mathematics Softwares and Research Methods3037.5
MATH 654Discrete Optimization and Heuristic Methods3037.5
MATH 655Fuzzy Set Theory and Its Applications3037.5
MATH 656Complex Analysis3037.5
MATH 657Time Scales3037.5
MATH 658Advanced Data Analysis3037.5
MATH 659Graph Theory3037.5
MATH 660Algebraic Geometry3037.5
MATH 661Finite Fields and Its Applications3037.5
MATH 662Cryptography3037.5
MATH 663Biomathematics3037.5
MATH 664Invariant Theory3037.5
MATH 665 Algebraic Coding Theory3037.5
MATH 666Integral Equations3037.5
MATH 667Theory of Finite Elements3037.5
MATH 668Spectral Analysis of Differential Operators3037.5
MATH 669Applied Homology, Computational Approach3037.5
MATH 670Set Theoretic Topology3037.5
MATH 671Fuzzy Optimization3037.5
MATH 672Algebra3037.5
MATH 673Computational Commutative Algebra3037.5
MATH 674Group Theory and Its Applications3037.5
MATH 675Applications of Modules and Representation Theory3037.5
STAT 501Theory of Statistics3037.5
STAT 502Stochastic Processes3037.5
STAT 503Probability Theory3037.5
STAT 504Nonparametric Statistics3037.5
STAT 505Applied Statistical Analysis3037.5
STAT 506Multivariate Statistics and the Theory of Copulas3037.5
STAT 551Actuaria3037.5
STAT 552Ordered Random Variables3037.5
STAT 553Reliability3037.5
STAT 554Statistical Process Control3037.5
STAT 555Risk Analysis3037.5
STAT 556Linear Statistical Models3037.5
STAT 557Time Series Analysis3037.5
STAT 558Design of Experiment3037.5
STAT 559Advanced Probability Theory3037.5
STAT 560Statistical Methods in Biology and Medical Sciences3037.5
STAT 561Statistical Softwares and Simulation3037.5
STAT 562Combinatorial Analysis and Discrete Distributions3037.5
STAT 563Statistical Decision Theory3037.5
STAT 602Probability and Statistics for Business30310
Restricted Elective Courses
CodePre.Course NameTheoryApplication/LaboratoryLocal CreditsECTS
MATH 697Uygulamalı Matematik ve İstatistikte Bireysel Çalışmalar00030
MATH 698Uygulamalı Matematik ve İstatistikte Tez Önerisi00030
MATH 699Doktora Tezi00030
Additional Notes

In order to graduate the students are required to take 4 elective courses from elective course list.

In addition to the courses that take place in the program above, the students who are enrolled to doctorate program with undergraduate degree should take 60 ECTS credit courses approved by their advisors in 2 semesters.

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