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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.
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References
 
 
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