| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 1 | CE640 | YAPISAL OPTİMİZASYON | 3+0+0 | 3 | 7,5 |
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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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CIVIL ENGINEERING
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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Description The course covers fundamentals of structural optimization in terms of the optimal design of topology, shape, size, and material for discrete and continuous representations of structures. Students are expected to develop computer programs to implement optimization methods for the solution of benchmark optimization problems defined for structural optimization. The course aligns with doctorate level studies by combining advanced structural optimization concepts with computational programming, enabling students to develop and implement optimization methods for solving complex structural design problems.
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Course Content
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Description The course covers fundamentals of structural optimization in terms of the optimal design of topology, shape, size, and material for discrete and continuous representations of structures. Students are expected to develop computer programs to implement optimization methods for the solution of benchmark optimization problems defined for structural optimization. The course aligns with doctorate level studies by combining advanced structural optimization concepts with computational programming, enabling students to develop and implement optimization methods for solving complex structural design problems.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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Associate Prof.Dr. ABDULLAH DEMİR
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
ECTS Allocated Based on Student Workload
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
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1
| Compose the fundamental concepts of optimization. |
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2
| Compose an optimization problem mathematically. |
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3
| Construct different algorithms for structural optimization. |
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4
| Create computer codes for optimization |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to design optimization LO1
Models of optimization LO1
Unconstrained optimization LO1, LO2, LO3
Constrained optimization LO1, LO2, LO3
Direct search methods LO2, LO3, LO3
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77631&lang=en