Lesson plan /

Lesson Information

Course Credit
Course ECTS Credit
Teaching Language of Instruction İngilizce
Level of Course Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course
Mode of Delivery Face-to-face
Does the course require compulsory or optional work experience?
Course Coordinator Prof. Dr. RAFET AKDENİZ
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course To classify the engineering signals and systems and to analyze the functioning principles of these systems in frequency and time domains by using various mathematical transformation techniques.
Course Content Continuous-time and Discrete-time Signals and Systems, Linear Time Invariant (LTI) Systems, Laplace Transform and Continuous-time LTI Systems, Fourier Analysis of Continuous-time Signals and Systems, Fourier Analysis of Discrete-time Signals and Systems.

Weekly Course Subjects

1Continuous-Time and Discrete-Time Signals and Systems: Introduction.
2Continuous-Time and Discrete-Time Signals and Systems: Classification of Signals and systems.
3Continuous-Time and Discrete-Time Signals and Systems: Classification of Signals and systems.
4Linear Time-Invariant (LTI) Systems: Response of Continuous-Time LTI Systems, Convolution Integral.
5Linear Time-Invariant (LTI) Systems: Response of Continuous-Time LTI Systems, Convolution Integral.
6Linear Shift Invariant (LSI) Systems: Response of Discrete-Time LSI systems, Convolution Sum.
7Laplace Transform and Continuous-Time LTI Systems: Laplace Transform.
8Midterm
9Laplace Transform and Continuous-Time LTI Systems: Laplace Transform and its properties and Inverse-Laplace Transform.
10Application of Laplace Transform in system identification.
11Fourier Analysis of Continuous-Time Systems and Signals: Response of continuous-time LTI systems.
12Fourier Analysis of Continuous-Time Systems and Signals:Inverse Fourier Transform.
13Fourier Analysis of Discrete-Time Signals and Systems: Discrete Fourier Series, Fourier Transform and its properties, The frequency response of discrete-time LTI systems.
14Fourier Analysis of Discrete-Time Signals and Systems: Inverse Fourier Transform.

Resources

1-Oppenheim, A.V. (editor), "Signals and Systems", Prentice Hall Signal Processing series.
Roberts, M.J., "Signal and Systems", McGraw-Hill.
Hsu,P.H., "Signal and Systems, Schaum's Outline of.