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- 25TH YEAR
Applied Mathematics and Statistics – With Thesis
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 | 0 | 0 | 0 | 0 | |
| ELEC 002 | Elective Course II | 0 | 0 | 0 | 0 | |
| MATH 511 | Multivariable and Dynamical Analysis | 3 | 0 | 3 | 7.5 | |
| STAT 507 | Advances in Modern Probability and Statistics | 0 | 0 | 0 | 7.5 | |
| Total : | 15 | |||||
| 1. Year Spring Semester | ||||||
| Code | Pre. | Course Name | Theory | App/Lab | Local Credits | ECTS |
| ELEC 003 | Elective Course III | 0 | 0 | 0 | 0 | |
| ELEC 004 | Elective Course IV | 0 | 0 | 0 | 0 | |
| GS 595 | Seminar | 0 | 0 | 0 | 7.5 | |
| MATH 512 | Research Design and Methods in Applied Mathematics and Statistics | 3 | 0 | 3 | 7.5 | |
| Total : | 15 | |||||
| 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 |
| MATH 524 | Discrete Mathematics | 3 | 0 | 3 | 7.5 | |
| MATH 532 | AI-Enhanced Scientific Computing I | 3 | 0 | 3 | 7.5 | |
| MATH 533 | Numerical Methods for Ordinary Differential Equations using Programming Languages | 3 | 0 | 3 | 7.5 | |
| MATH 534 | AI-Enhanced Scientific Computing II | 3 | 0 | 3 | 7.5 | |
| MATH 535 | Wavelet Based Methods for Ordinary Differential Equations With MATLAB | 3 | 0 | 3 | 7.5 | |
| MATH 536 | Numerical Methods for Partial Differential Equations Using Programming Languages | 3 | 0 | 3 | 7.5 | |
| MATH 537 | Mathematics and Artifical Intelligence | 3 | 0 | 3 | 7.5 | |
| MATH 538 | Mathematical and Statistical Modeling | 3 | 0 | 3 | 7.5 | |
| MATH 553 | Optimization | 3 | 0 | 3 | 7.5 | |
| MATH 601 | Differential Equations | 3 | 0 | 3 | 7.5 | |
| MATH 602 | Advanced Linear Algebra and Optimization | 3 | 0 | 3 | 7.5 | |
| MATH 624 | Introduction to Statistical Machine Learning | 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 504 | Nonparametric Statistics | 3 | 0 | 3 | 7.5 | |
| STAT 553 | Reliability | 3 | 0 | 3 | 7.5 | |
| STAT 559 | Advanced Probability Theory | 3 | 0 | 3 | 7.5 | |
| Additional Notes |
If you need support for these courses due to your disability, please refer to Disability Support Unit. Contact; engelsiz@ieu.edu.tr |
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