ECTS - Energy Systems Optimization
Energy Systems Optimization (ME652) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Energy Systems Optimization | ME652 | Elective Courses | 3 | 0 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Ph.D. |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer. |
| Course Lecturer(s) |
|
| Course Objectives | This course is designed to introduce the basic concepts of optimization, optimization techniques and applications in energy systems engineering. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | The fundamentals of optimization, graphical optimization, linear and non-linear programming, unconstrained and constrained optimization, global optimization, MATLAB applications, case studies in energy systems engineering. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction | |
| 2 | The fundamentals of optimization | |
| 3 | The fundamentals of optimization | |
| 4 | The optimization types | |
| 5 | Graphical Optimization | |
| 6 | Linear and Non-linear Programming | |
| 7 | Linear and Non-linear Programming | |
| 8 | Unconstrained and Constrained Optimization | |
| 9 | Unconstrained and Constrained Optimization | |
| 10 | Global Optimization | |
| 11 | MATLAB Applications | |
| 12 | MATLAB Applications | |
| 13 | Case Studies in Energy Systems Engineering. | |
| 14 | Case Studies in Energy Systems Engineering. |
Sources
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 6 | 30 |
| Presentation | - | - |
| Project | 1 | 10 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 30 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 10 | 100 |
| Percentage of Semester Work | |
|---|---|
| Percentage of Final Work | 100 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | Demonstrates the ability to conduct advanced research activities both individually and as a team member. | X | ||||
| 2 | Gains the competence to examine, evaluate, and interpret research topics through scientific reasoning. | X | ||||
| 3 | Develops new methods and applies them to original research areas and topics. | X | ||||
| 4 | Systematically acquires experimental and/or analytical data, discusses and evaluates them to reach scientific conclusions. | X | ||||
| 5 | Applies the scientific philosophical approach in the analysis, modeling, and design of engineering systems. | X | ||||
| 6 | Synthesizes knowledge in their field to create, maintain, complete, and present original studies at an international level. | X | ||||
| 7 | Contributes to scientific and technological advancements in their engineering field. | X | ||||
| 8 | Contributes to industrial and scientific progress to improve society through research activities. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 14 | 3 | 42 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | |||
| Presentation/Seminar Prepration | |||
| Project | 1 | 10 | 10 |
| Report | |||
| Homework Assignments | 6 | 5 | 30 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 112 | ||