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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 307OPTIMIZATION3 + 07th Semester5

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
2Knows the classical optimization methods.
3Klasik optimizasyon yöntemlerini bilir.
4Non-linear functions, min / max points, finds.
5Under the constraint functions are non-linear min / max points, finds.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 00133333222
LO 00233333222
LO 00333332222
LO 00433322322
LO 00533322322
Sub Total1515151312121010
Contribution33332222

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Mid-terms177
Final examination11111
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