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 | Gains the ability to have in-depth knowledge of mathematics, science, and engineering, and to use this knowledge in solving Civil Engineering problems. | |||||
| 2 | Gains the ability to design and produce Civil Engineering systems under economic, environmental sustainability, and manufacturability constraints. | |||||
| 3 | Gains the ability to identify, define, formulate, and solve complex engineering problems, and acquires the ability to select and apply appropriate analysis and modeling methods for this purpose. | |||||
| 4 | Gains the ability to develop an approach to solve encountered engineering problems, and to design and conduct models and experiments. | X | ||||
| 5 | Gains the ability to effectively use modern engineering tools, techniques, and capabilities necessary for design and other engineering applications. | |||||
| 6 | Gains the ability to independently conduct fundamental research in the field, report research results effectively, and present them at scientific meetings. | |||||
| 7 | Acquires sufficient verbal and written English skills to follow scientific developments in the field and to communicate with colleagues. | |||||
| 8 | Gains the ability to effectively use the knowledge acquired in intra-disciplinary and interdisciplinary teams, and to take leadership roles in such teams. | |||||
| 9 | Gains awareness of the necessity of lifelong learning, personal development, and continuous self-renewal in the field; follows developments in science and technology; acquires awareness of entrepreneurship and innovation. | |||||
| 10 | Recognizes the importance of considering social, scientific, and ethical values in the stages of collecting, interpreting, disseminating, and applying data related to civil engineering problems. | |||||
| 11 | Gains the competence to critically examine, develop, and, when necessary, take action to change social relations and the norms that govern them. | |||||
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 | ||