PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 307	OPTIMIZATION	3 + 0	6th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	Obtaining the best result under optimization conditions. This course aim is to teach fundamental concepts and methods
Course Content	Introduction to Optimization, Classical Optimization Methods, Nonlinear Programming: Single Variable, Unconstrained Multivariate Optimization Methods, Constrained Multivariate Optimization Methods.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	.Knows to get the best result under the given conditions
2	Knows the classical optimization methods.
3	Klasik optimizasyon yöntemlerini bilir.
4	Non-linear functions, min / max points, finds.
5	Under the constraint functions are non-linear min / max points, finds.

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	5	5	5	5	5	5	5	5	5	5	5	5
LO 002	5	4	4	4	5	5	5	5	5	5	5	5
LO 003	5	5	5	5	5	5	5	5	5	5	5	5
LO 004	5	4	4	4	5	5	5	5	5	5	5	5
LO 005	5	5	5	5	4	4	4	5	5	5	5	5
Sub Total	25	23	23	23	24	24	24	25	25	25	25	25
Contribution	5	5	5	5	5	5	5	5	5	5	5	5

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)	13	3	39
Assignments	1	10	10
Mid-terms	1	13	13
Final examination	1	26	26
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