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YZV 202E
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Course Information
Course Name
Turkish
Veri Bilimi için Optimizasyon
English
Optimization for Data Science
Course Code
YZV 202E
Credit
Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester
4
3
3
-
-
Course Language
English
Course Coordinator
Faik Boray Tek
Nazım Kemal Üre
Course Objectives
Provide the necessary theoretical background to engineering students for using optimization algorithms and provide data science applications
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
Course Outcomes
Students who pass this course will be able to
1. Formulate data science problems as optimization problems
2. Use derivative based methods to solve optimization problems.
3. Use derivative free methods to solve optimization problems.
4. Define and solve linear optimization problems.
5. Solve constrained nonlinear optimization problems using Lagrangian methods.
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