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Information
| Code | EE678 |
| Name | Soft Computing Control |
| Term | 2022-2023 Academic Year |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | İngilizce |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. İLYAS EKER |
Course Goal / Objective
To give information about besic features of adaptive control systems
Course Content
Theoretical information about Adaptive on line identification and control
Course Precondition
none
Resources
An Introduction to Fuzzy and Neurofuzzy Systems
Notes
An Introduction to Neural Networks
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Student identifies hard and soft computing systems. |
| LO02 | Describes operating principles of soft computing systems. |
| LO03 | Analyses of control systems. |
| LO04 | Designin soft computing controllers |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Being able to specialize in at least one of the branches that form the foundations of Electrical and Electronics Engineering by increasing the level of knowledge beyond the master's level | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | To comprehend the integrity of all the subjects included in the field of specialization. | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Having knowledge of the current scientific literature in the field of specialization to analyze the literature critically | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | To comprehend the interdisciplinary interaction of the field with other related branches, to suggest similar interactions. | 2 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to do theoretical and experimental work | |
| PLO06 | Bilgi - Kuramsal, Olgusal | To create a complete scientific text by compiling the information obtained from the research | 2 |
| PLO07 | Bilgi - Kuramsal, Olgusal | To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor. | 2 |
| PLO08 | Bilgi - Kuramsal, Olgusal | To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. | 3 |
| PLO09 | Bilgi - Kuramsal, Olgusal | Having a command of English and related English jargon at a level that can easily read and understand a scientific text written in English in the field of specialization and write a similar text | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise. | |
| PLO11 | Bilgi - Kuramsal, Olgusal | Ability to plan and teach lessons related to the field of specialization or related fields | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Being able to guide and take the initiative in environments that require solving problems related to the field | 2 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate with people in an appropriate language | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Adopting the ethical values required by both education and research aspects of academician | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements | 3 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Ability to research new topics based on existing research experience | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction and classification of control computing systems | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Introduction to soft computing systems | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 3 | Introduction to hard computing systems | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 4 | Bulanık mantık kontrol metoduna giriş | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 5 | Features of fuzzy logic | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 6 | Input and output of fuzzy logic control | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Algorithms of fuzzy logic control | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Yazılı Sınav |
|
| 9 | Parameters of fuzzy logic control algorithm. | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | properties of controller inputs and outputs. | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Constraints of fuzzy logic control | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Closed-loop stability | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Control convergence | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Other soft computing methods: Neural Network Control, Particle Swarm Optimization, Genetic Alorithm, etc, | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Control guidelines of soft computing methods | Review of the theoretical information | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||