| Language of Instruction |
Türkçe |
| Course Type |
Required Courses |
| Course Instructor(s) |
ÖĞR. GÖR. DR. BÜLENT BATMAZ |
| Mode of Delivery |
face to face |
| Prerequisites |
yok |
| Courses Recomended |
Bu konular için isteğe bağlı program bileşenleri; MATLAB, Python (NumPy, SciPy, SymPy, Matplotlib, TensorFlow, PyTorch) ve R (ggplot2, Matrix) gibi araçlarla görselleştirme, sembolik ve sayısal çözüm, uygulamalı analiz ve gerçek dünya problem çözümü desteği sağlar |
| Recommended Reading List |
https://link.springer.com/book/10.1007/978-3-319-91041-3Applied Linear Algebra |
| Assessment methods and criteria |
Midterm Exam, Final Exam, Assignment |
| Work Placement |
NA |
| Catalog Content |
Functions, Derivatives, Integrals, Matrices and Matrix Operations, Matrix Decomposition Techniques, Visualisation of Matrices, Tensor Data (Vectors) |
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