Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Linear Systems Theory | BSM 605 | 0 | 3 + 0 | 3 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | Doktora |
Dersin Türü | Zorunlu |
Dersin Koordinatörü | Prof.Dr. DEVRİM AKGÜN |
Dersi Verenler | Prof.Dr. DEVRİM AKGÜN, |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
Dersin Amacı |
To be able to teach state space forms which are the basis of communication, control and signal processing, to be able to analyze controllability and observability by using state space forms, to have knowledge about discrete time state space forms
|
Dersin İçeriği | Mathematical notations, state equations, transition matrices and their properties, controllability and observability, theory of feasibility, input-output stability, controller and observer forms |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | To be able to teach state space forms which are the basis of communication | Lecture, Question-Answer, Group Study, Self Study, | Testing, Homework, |
2 | To be able to analyze controllability and observability by using state space forms | Lecture, Question-Answer, Drilland Practice, Self Study, | Testing, Homework, |
3 | To have knowledge about discrete time state space forms | Lecture, Question-Answer, Drilland Practice, Self Study, | Testing, Homework, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
1 | Classification of Systems | |
2 | Eigenvalue, eigenvector | |
3 | State-space representation | |
4 | State-space representation | |
5 | Derivation of state-space models and canonical models | |
6 | Derivation of state-space models and canonical models | |
7 | Coordinate conversions and matrix polynoms | |
8 | Analysis of linear systems | |
9 | Midterm exam | |
10 | Analysis of linear systems | |
11 | Linearisation and discrete conversion | |
12 | Linearisation and discrete conversion | |
13 | State-space modeling of discrete systems | |
14 | State-space modeling of discrete systems |
Kaynaklar | |
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Ders Notu | |
Ders Kaynakları |
-Linear System Theory, Wilson J. Rugh, Pearson Education; 2nd edition, 1995 |
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 | X | |||||
12 | ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment |
Değerlendirme Sistemi | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Ara Sınav | 40 |
1. Ödev | 20 |
2. Ödev | 20 |
3. Ödev | 20 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 50 |
1. Final | 50 |
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 | 3 | 48 |
Mid-terms | 1 | 12 | 12 |
Final examination | 1 | 15 | 15 |
Assignment | 4 | 8 | 32 |
Toplam İş Yükü | 155 | ||
Toplam İş Yükü / 25 (Saat) | 6,2 | ||
Dersin AKTS Kredisi | 6 |