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FACULTY of ENGINEERING / DEPARTMENT of COMPUTER ENGINEERING / (30%) English
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BIL3006Signals and Systems3+0+0ECTS:6
Year / SemesterSpring Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of COMPUTER ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerProf. Dr. Bekir DİZDAROĞLU
Co-LecturerProf. Dr. Ali GANGAL
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
The objectives of this course are to provide students with an understanding of the fundamental properties of signals and systems and to give them the ability to model and analyse linear time-invariant systems using time and frequency domain approaches such as differential equation, unit impulse response, state variable, Fourier series and Fourier transform, transfer function, Laplace transform and z-transform. The topics covered in the course are the basis for subsequent courses in communication, digital signal processing and control. The student will reinforce the theoretical knowledge by computer simulation in environments supporting the Python programming language.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : learn the basic properties of signals.2,3,121,
LO - 2 : can analyse linear time-invariant (LTI) systems in time domain.2,3,121,
LO - 3 : To be able to analyse LTI systems in frequency domain.2,3,121,
LO - 4 : To be able to learn Laplace transform and analyse LTI systems in s domain.2,3,121,
LO - 5 : learn the z transform and analyse LTI systems in z domain.2,3,121,
LO - 6 : can analyse LTI systems with random input.2,3,121,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome

 
Contents of the Course
Introduction Signal Definition and Signal Types. Time Domain Models of Linear Time-Invariant (LTI) Systems. Frequency Domain Models of LTI Systems. s-Domain Models of LTI Systems. Analysis of Discrete Systems. Frequency Domain Analysis of LTI Discrete Systems. z-Domain analysis of discrete LTI systems. Analysis of Random Input Systems.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Classification of signals and basic properties of signals.
 Week 2Classification of signals and basic properties of signals.
 Week 3Time Domain Models of Linear Time-Invariant (LTI) Systems.
 Week 4Time Domain Models of Linear Time-Invariant (LTI) Systems.
 Week 5Time Domain Models of Linear Time-Invariant (LTI) Systems.
 Week 6Frequency Domain Models of LTI Systems.
 Week 7Frequency Domain Models of LTI Systems.
 Week 8Frequency Domain Models of LTI Systems.
 Week 9Midterm Exam
 Week 10Frequency Domain Models of LTI Systems.
 Week 11Laplace Transform and s-Domain Models of LTI Systems.
 Week 12Laplace Transform and s-Domain Models of LTI Systems.
 Week 13z-transformation and z-space analysis of LTI systems.
 Week 14z-transformation and z-space analysis of LTI systems.
 Week 15LTI Systems with Random Input.
 Week 16Final exam
 
Textbook / Material
1Oppenheim, A. V. ve A. S. Willsky, "Signals and Systems ", Prentice Hall Int., Inc.
 
Recommended Reading
1Hsu, H. ve H. P. Hse, "Schaum's Outline of Signals and Systems ", McGraw-Hill.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 Dönem içerisinde duyurulmaktadır. 2 50
End-of-term exam 16 Dönem içerisinde duyurulmaktadır. 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 6 14 84
Sınıf dışı çalışma 2 8 16
Arasınav için hazırlık 2 8 16
Arasınav 2 1 2
Dönem sonu sınavı için hazırlık 2 8 16
Dönem sonu sınavı 2 1 2
Total work load136