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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
CENG 415EVOLUTIONARY COMPUTATION3 + 05th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Purpose of this course is to provide understanding of basic theories and methods related to evolutionary computation. Students will arrive solution of complex problems due to methods given during course. Students will understand the methods from basic to complex ones and can use these methods to solve different engineering problems.
Course Content Basic approaches: Genetic algorithms, Genetic programming, evolutionary strategies. Traditional Genetic algorithm, mathematical bases, sema theory, coding, computation of correctness. Genetic operators: cross over, mutation, producing, selection methods. Advanced operators: diploid structures, parallel Genetic algorithms. Application areas. Current research topics.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Understanding of basic optimization concepts
2Understanding of Genetic Algorithm operators
3Understanding of Hybrid Genetic Algorithm
4Understanding of Several Genetic Algorithm
5Understanding of Alternative Algorithms

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001      543555
LO 002      433344
LO 003      432223
LO 004      323333
LO 005      432223
Sub Total      201513151618
Contribution000000433334

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
Assignments21020
Mid-terms11010
Final examination11616
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