ECTS - Structural Optimization
Structural Optimization (CE423) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Structural Optimization | CE423 | Area Elective | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| CE321 |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Natural & Applied Sciences Master's Degree |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | The objective of this course is to introduce basic concepts of structural optimization. Different types of structural optimization problems will be formulated and solved using various optimization techniques. This course aims to enable the students to use and implement different algorithms for structural optimization. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Formulation of structural optimization problems, graphical solution procedure, sizing, geometry, and topology optimization, steepest-descent method, Newton?s method, branch and bound method, multi-objective structural optimization, evolutionary algorithms, sensitivity analysis techniques, and practical applications. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Formulation of Structural Optimization Problems | |
| 2 | Graphical Solution Procedure | |
| 3 | Steepest-Descent Method | |
| 4 | Newton’s Method | |
| 5 | Branch and Bound Method | |
| 6 | Evolutionary Algorithms | |
| 7 | Evolutionary Algorithms | |
| 8 | Evolutionary Algorithms | |
| 9 | Sizing Optimization | |
| 10 | Geometry Optimization | |
| 11 | Topology Optimization | |
| 12 | Sensitivity Analysis Techniques | |
| 13 | Multiobjective Structural Optimization | |
| 14 | Practical Applications | |
| 15 | Final Exam Period | |
| 16 | Final Exam Period |
Sources
| Other Sources | 1. Arora, J.S., Introduction to Optimum Design, Third Edition, Elsevier Academic Press, 2012. |
|---|
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 1 | 30 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 30 |
| Final Exam/Final Jury | 1 | 40 |
| Toplam | 3 | 100 |
| Percentage of Semester Work | 60 |
|---|---|
| Percentage of Final Work | 40 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Having accumulated knowledge on mathematics, science and engineering and an ability to apply these knowledge to solve Civil engineering problems. | |||||
| 2 | Ability to design Cİvil Engineering systems fulfilling sustainability in environment and manufacturability and economic constraints | |||||
| 3 | An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems. | |||||
| 4 | An ability to develop a solution based approach and a model for an engineering problem and design and manage an experiment | X | ||||
| 5 | Ability to use modern engineering tools, techniques and facilities in design and other engineering applications | |||||
| 6 | Ability to carry out independent research in the field and to report the results of the research effectively and be able to present the research results at scientific meetings. | |||||
| 7 | Sufficient oral and written English knowledge to follow scientific conferences in the field and communicate with colleagues. | |||||
| 8 | Ability to effectively use knowledge in the field to work in disciplinary/multidisciplinary teams and the skill to lead these teams | |||||
| 9 | Consciousness on the necessity of improvement and sustainability as a result of life-long learning,ability for continuous renovation and monitoring the developments on science and technology and awareness on entrepreneurship and innovation | |||||
| 10 | Professional and ethical responsibility to gather and interpret data, apply and announce solutions to Civil Engineering problems. | |||||
| 11 | An ability to investigate, improve social connections and their conducting norms with a critical view and act to change them when necessary. | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | 1 | 32 | 32 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 13 | 13 |
| Prepration of Final Exams/Final Jury | 1 | 15 | 15 |
| Total Workload | 150 | ||