PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YBS 209	OPTIMIZATION TECHNIQUES	3 + 0	3rd Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The aims of this course are to teach gradient-based, unconstrained and equality/inequality constrained, univariate and multivariate numerical optimization problems and methods, to implement these methods in MatLab environment, and using these methods in solving real-world problems.
Course Content	One-dimensional non-linear numerical optimization. Multidimensional non-linear numerical optimization. Mathematical foundations. Matrix and determinant. Analytical conditions for optimality. First-order Methods. Second-order methods. Second-order approximate methods. Gradient methods, exhaustive search, fixed-step search and their applications. Newton and golden section methods.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Knows the fundamental concepts of numerical optimization
2	Knows gradient-based constrained and unconstrained numerical optimization methods
3	Solves related real-world problems by optimization methods
4	Can use MatLab to make applications of these

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11	PO 12
LO 001	1	5	4	2	3	5	4	2	2	3	2	4
LO 002	2	1	3	2	5	4	2	3	2	1	4	5
LO 003	2	1	2	5	4	2	3	3	5	4	2	2
LO 004	4	5	2	1	2	3	5	4	1	2	5	3
Sub Total	9	12	11	10	14	14	14	12	10	10	13	14
Contribution	2	3	3	3	4	4	4	3	3	3	3	4

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Mid-terms	1	14	14
Final examination	1	18	18
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student