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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MAT 529OPTIMIZATION METHODS II3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective To teach parametric, dynamic programming problems and some optimal principlies.
Course Content Parametric Programming Problems, Game Theory, Minimum Way Problems, Production Programme and Control Problems, Definitional Problems, Pontryagin’s Maximum Principle, Dynamic Programming Problems, Bellman Optimal Principle.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the Parametric Programming Problems and Game Theory.
2Realizes the Minimum Way Problems, Production Programme and Control Problems, Definitional Problems.
3Knows the Pontryagin’s Maximum Principle, Dynamic Programming Problems, Bellman Optimal Principle.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 0015 45 4  
LO 0025 44 4  
LO 0034 55 5  
Sub Total14 1314 13  
Contribution50450400

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)14798
Assignments155
Mid-terms11515
Final examination13535
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