Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Optımızatıon | EBT 555 | 0 | 3 + 0 | 3 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | YUKSEK_LISANS |
Dersin Türü | Seçmeli |
Dersin Koordinatörü | Prof.Dr. NİLÜFER YURTAY |
Dersi Verenler | |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
Dersin Amacı | In this course, it is given definition of the optimization, the data about the details of the static and the dynamic optimization, is explained the details of optimization theory applied to control problems and is given the optimum control system examples. |
Dersin İçeriği | Definition of the optimization, calculus of extrama and parameter optimization, variational, dyamic optimization in control systems, optimization theory applied to control problems, optimum control system examples |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | To define the optimization | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, |
2 | To learn calculus of extrama and parameter optimization | Lecture, Question-Answer, Drilland Practice, Problem Solving, | Testing, Homework, |
3 | To learn variational, dyamic optimization in control systems | Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, | Testing, Homework, Project / Design, |
4 | To learn optimization theory applied to control problems | Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Project Based Learning, | Testing, Homework, Project / Design, |
5 | To learn optimum control system examples | Lecture, Question-Answer, Drilland Practice, Case Study, Problem Solving, | Testing, Homework, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Definition of the optimization | |
2 | Definition of the optimization | |
3 | Calculus of extrama and parameter optimization | |
4 | Calculus of extrama and parameter optimization | |
5 | Calculus of extrama and parameter optimization | |
6 | Variational, dyamic optimization in control systems | |
7 | Variational, dyamic optimization in control systems | |
8 | Variational, dyamic optimization in control systems | |
9 | Optimization theory applied to control problems | |
10 | Optimization theory applied to control problems | |
11 | Optimization theory applied to control problems | |
12 | Optimum control system examples | |
13 | Optimum control system examples | |
14 | Optimum control system examples |
Kaynaklar | |
---|---|
Ders Notu | [1] SAGE A. P. and CHELSEA, C., W., Optimum Systems Controls, Prentice Hall, New Jersey, 1977. |
Ders Kaynakları | [2] BRYSON J., ARTHUR E., YU-CHI H., Applied Optimal Control, Hemisphere Publishing Corporation Washington, New York, London, 1975. [3] ANDERSON B. D. O., MOORE J. B., Linear Optimal Control, Prentice Hall, New Jersey, 1971. [4] TABAK D. and KUO B. C., Optimal Control by Mathematical Programming, Prentice Hall, New Jersey, 1971. [5] KIRK D., E., Optimal Control Theory, Prentice Hall, New Jersey, 1970. |
Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||
1 | ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study | X | |||||
2 | ability to complete and implement limited or incomplete data by using the scientific methods. | X | |||||
3 | ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them | X | |||||
4 | ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process | X | |||||
5 | gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering | X | |||||
6 | ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process | X | |||||
7 | gain high level ability to define the required information and data | X | |||||
8 | ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations | X | |||||
9 | systematic and clear verbal or written transfer of the process and results of studies at national and international environments | X | |||||
10 | aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement | X | |||||
11 | aware of new and developing application of profession and ability to analyze and study on those applications | ||||||
12 | ability to interpret engineering applications social and environmental dimensions and its compliance with the social environment |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 30 |
1. Ödev | 35 |
1. Performans Görevi (Seminer) | 35 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 40 |
1. Final | 60 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
---|---|---|---|
Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
Mid-terms | 1 | 10 | 10 |
Assignment | 5 | 10 | 50 |
Performance Task (Seminar) | 1 | 10 | 10 |
Final examination | 1 | 10 | 10 |
Toplam İş Yükü | 160 | ||
Toplam İş Yükü / 25 (Saat) | 6,4 | ||
Dersin AKTS Kredisi | 6 |