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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