1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 2405 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKOM 538 NONLINEAR PROGRAMMING 5 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Nonlinear Programming is frequently used at real world problems,so Nonlinear Programming methods are given in this lesson.
Course Content Classical Optimization Techniques, Multivariate optimization models, methods of differential
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1 Students will gain the ability to mathematical analysis.
2 Students interpret the solutions of optimization problems.
3 Students know the solution methods of multivariate unconstrained and constrained functions.
4 They can learn about theory and applications of non-linear programming.
5 They can use Nonlinear Programming at real world problems.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
LO 005            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14570
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11010
Mid-terms12020
Final examination12525
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes