COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Optimization * ECMS   305 5 3 3 5

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Prof. Dr. Süleyman Bilgin KILIÇ
Instructors
Dr. Öğr. ÜyesiSEMİN PAKSOY1. Öğretim Grup:A
 
Assistants
Goals
To give analytical thinking and problem-solving skills to the students by means of learning and application of the optimization methods
Content
Introduction to the theory of optimization, necessary and sufficient conditions for the global maximum or minimum of unrestricted functions, Newton-Raphson method, constrained optimization of continuous functions, lagrangian method in the form of equality constraints, linear programming and the simplex method, sensitivity analysis, expansion of the Lagrangian method in the form inequality constraints, determination of the Kuhn-Tucker necessary and sufficient conditions for the non-linear constrained problems, non-linear programming algorithms; gradient descent method, quadratic programming, geometric programming and stochastic programming

Learning Outcomes
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