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
MATH 505 Advanced Mathematical Analysis 3 0 3 7.5
MATH 601 Differential Equations 3 0 3 7.5
STAT 601 Probability Theory and Mathematical Statistics 3 0 3 7.5
Total : 30
1. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ELEC 002 Elective Course II 3 0 3 7.5
ELEC 003 Elective Course III 3 0 3 7.5
GSNS 695 Seminar 0 0 0 7.5
MATH 602 Advanced Linear Algebra and Optimization 3 0 3 7.5
Total : 30
2. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 697 Individual Studies in Applied Mathematics and Statistics 0 0 0 30
Total : 30
2. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 698 Thesis Proposal in Applied Mathematics and Statistics 0 0 0 30
Total : 30
3. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 699 Thesis 0 0 0 30
Total : 30
3. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 699 Thesis 0 0 0 30
Total : 30
4. Year Fall Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 699 Thesis 0 0 0 30
Total : 30
4. Year Spring Semester
Code Pre. Course Name Theory App/Lab Local Credits ECTS
GSNS 699 Thesis 0 0 0 30
Total : 30
Elective Courses
Code Pre. Course Name Theory App/Lab Local Credits ECTS
ECON 517 Financial Econometrics 3 0 3 7.5
FM 506 Stochastic Processes in Finance 1 4 3 5
IE 502 Probabilistic Systems Analysis 3 0 3 7.5
IES 503 Artificial Intelligence 3 0 3 7.5
IES 508 System Simulation and Modeling 3 0 3 7.5
IES 509 Heuristics 3 0 3 7.5
IES 511 Machine Learning 3 0 3 7.5
IES 513 Mathematical Programming and Applications 3 0 3 7.5
IES 534 Nonlinear Programming 3 0 3 7.5
IES 570 Criptology and Computer Security 3 0 3 7.5
MATH 504 Statistics 3 0 3 7.5
MATH 508 Partial Differential Equations 3 0 3 7.5
MATH 552 Copula Theory and Its Application in Finance 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 555 Financial Mathematics 3 0 3 7.5
MATH 600 Mathematics Softwares and Research Methods 3 0 3 7.5
MATH 654 Discrete Optimization and Heuristic Methods 3 0 3 7.5
MATH 655 Fuzzy Set Theory and Its Applications 3 0 3 7.5
MATH 656 Complex Analysis 3 0 3 7.5
MATH 657 Time Scales 3 0 3 7.5
MATH 658 Advanced Data Analysis 3 0 3 5
MATH 659 Graph Theory 3 0 3 7.5
MATH 660 Algebraic Geometry 3 0 3 7.5
MATH 661 Finite Fields and Its Applications 3 0 3 7.5
MATH 662 Cryptography 3 0 3 7.5
MATH 663 Biomathematics 3 0 3 7.5
MATH 664 Invariant Theory 3 0 3 7.5
MATH 665 Algebraic Coding Theory 3 0 3 7.5
MATH 666 Integral Equations 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 669 Applied Homology, Computational Approach 3 0 3 7.5
MATH 670 Set Theoretic Topology 3 0 3 7.5
MATH 671 Fuzzy Optimization 3 0 3 7.5
MATH 672 Algebra 3 0 3 7.5
MATH 673 Computational Commutative Algebra 3 0 3 7.5
MATH 674 Group Theory and Its Applications 3 0 3 7.5
MATH 675 Applications of Modules and Representation Theory 3 0 3 7.5
STAT 501 Theory of Statistics 3 0 3 7.5
STAT 502 Stochastic Processes 3 0 3 7.5
STAT 503 Probability Theory 3 0 3 7.5
STAT 504 Nonparametric Statistics 3 0 3 7.5
STAT 505 Applied Statistical Analysis 3 0 3 7.5
STAT 506 Multivariate Statistics and the Theory of Copulas 3 0 3 7.5
STAT 551 Actuaria 3 0 3 7.5
STAT 552 Ordered Random Variables 3 0 3 7.5
STAT 553 Reliability 3 0 3 7.5
STAT 554 Statistical Process Control 3 0 3 7.5
STAT 555 Risk Analysis 3 0 3 7.5
STAT 556 Linear Statistical Models 3 0 3 7.5
STAT 557 Time Series Analysis 3 0 3 7.5
STAT 558 Design of Experiment 3 0 3 7.5
STAT 559 Advanced Probability Theory 3 0 3 7.5
STAT 560 Statistical Methods in Biology and Medical Sciences 3 0 3 7.5
STAT 561 Statistical Softwares and Simulation 3 0 3 7.5
STAT 562 Combinatorial Analysis and Discrete Distributions 3 0 3 7.5
STAT 563 Statistical Decision Theory 3 0 3 7.5
Additional Notes

In order to graduate the students are required to take 3 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

Curriculum (Before 2013)