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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
INS 587SOLUTION OF CIVIL ENGINEERING PROBLEMS USING HEURISTIC OPTIMIZATION ALGORITHMS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The aim of this course is to provide an advanced information about heuristic optimization algorithms.
Course Content Introduction to optimization, Constrained and unconstrained optimization problems, Continuous and Discrete optimization, Genetic Algorithms, Harmony Search, Particle Swarm Optimization, Differential Evolution Algorithm, Heuristic operators, Solution of constrained optimization problems using penalty function approach, Software development and solution of optimization problems dealing with civil engineering
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1It provides an information about mathematical optimization.
2It gives information dealing with unconstrained-constrained, continuous-discrete optimization problems.
3It provides information about genetic algorithms, harmony search, and particle swarm optimization algorithms.
4It provides information about how to solve the constrained optimization problems through heuristic optimization algorithms.
5It provides coding the required softwares to solve the optimization problems through heuristic optimization algorithms.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 0011   23   45
LO 0021   23   45
LO 003  1 23   54
LO 004  4251    2
LO 0051 32    54 
Sub Total3 841110  51716
Contribution10212200133

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)14342
Assignments23060
Mid-terms12525
Final examination12626
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