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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ENM 501OPTIMIZATION TECHNICS I3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective In this course the modelling of real life optimization problems and their solutions methods are examined in detail
Course Content Linear programming problems, integer programming problems, knapsack problems, location allocation problems, assembly line balancing problems, traveling salesman problems, scheduling problems
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Understand the concept of modelling
2models the real life problems
3Solve the models by using GAMS

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10
LO 0015432211114
LO 0025431111114
LO 0032422111111
Sub Total121285433339
Contribution4432111113

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)13113
Assignments5420
Mid-terms13535
Final examination14545
Report / Project14040
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