| Code |
Course Name |
Language |
Type |
| YZV 202E |
Optimization for Data Science |
English |
Compulsory |
| Local Credits |
ECTS |
Theoretical |
Tutorial |
Laboratory |
| 3 |
5.5 |
3 |
0 |
0 |
| Course Prerequisites and Class Restriction |
| Prerequisites |
(MAT 281 MIN DD or MAT 281E MIN DD) and (YZV 104E MIN DD or YZV 102E MIN DD)
|
| Class Restriction |
None |
| Course Description |
| Introduction to mathematical optimization, line search methods, gradient based
methods, Newton’s method, Hessian based methods, least squares techniques,
derivative-free optimization, linear optimization problems, nonlinear optimization, data
science applications |
|