FIZ353 - Numerical Analysis Lecture Notes
Repository for the "FIZ353 - Numerical Analysis" course's lecture notes, as tutored by Dr. Emre S. Tasci during the 2020-2021 Fall term.
The course has been conducted using the Python language.
The notes have been prepared via Jupyter-notebeook, and in addition to the ipynb format, html version is also available.
You can reach the source files at https://github.com/emresururi/FIZ353/, and the processed HTML files are available via https://emresururi.github.io/FIZ353/.
| Lecture# | Topic |
|---|---|
| 1 | Importing, parsing, processing and exporting datasets (Pandas module){:target="ders"} |
| 2 | Visualization of datasets (Seaborn module){:target="ders"} |
| 3 | Least Squares Error Method & Crash Course in Optimization{:target="ders"} |
| 4 | Matrix Operations & Linear Algebra{:target="ders"} |
| 5 | Matrix Decompositions{:target="ders"} |
| 6(a) | PCA for Coupled Harmonic Oscillators (3 Springs, 2 Bodies){:target="ders"} |
| 6(b) | PCA for Dimensionality Reduction (3 Cameras, 1 Oscillator){:target="ders"} |
| 6(c) | PCA for Dimensionality Reduction, with noise (3 Cameras, 1 Oscillator){:target="ders"} |
| 7 | Fourier Analysis (Introduction){:target="ders"} |
| 8 | Drawing From A Given Distribution{:target="ders"} |
| 9 | Regression{:target="ders"} |
| 10 | Interpolation{:target="ders"} |
| 11 | Finite Difference Method & ODEs{:target="ders"} |
| -- | Compressed Sensing(In progress){:target="ders"} |
In addition to many ethical reasons, usage without proper referencing is also against the imposed licence (GPL) and therefore legally prohibited.
Emre S. Tasci [email protected]