Dersin Haftalık Planı

Hafta	Konu
1	Signals and Systems. Continuous-Time and Discrete-Time Signals. Signal Energy and Power. Transformations of the Independent Variable. Periodic Signals. Even-Odd Signals. (Lecture 1)
2	Exponential and Sinusoidal Signals. The Unit Impulse and Unit Step Functions. Continuous-Time and Discrete-Time Systems. Basic System Properties. (Lecture 2 & Lecture 3)
3	Linear Time-Invariant Systems. Discrete-Time LTI Systems: The Convolution Sum. Continuous-Time LTI Systems: The Convolution Integral. (Lecture 4) - Example Problems 1
4	Properties of Linear Time-Invariant Systems. Causal LTI Systems described by Differential and Difference Equations. (Lecture 5) - Example Problems 2
5	Fourier Series Representation of Continuous-Time Periodic Signals. The Response of LTI Systems to Complex Exponentials. Convergence of the Fourier Series. Properties of Continuous-Time Fourier Series. (Lecture 6 & Lecture 7)
6	Fourier Series Representation of Discrete-Time Periodic Signals, Properties of Discrete-Time Fourier Series, Fourier Series and LTI Systems (Lecture 8) - Example Problems 3
7	Midterm Exam 1
8	The Continuous-Time Fourier Transform. The Continuous-Time Fourier Transform of Periodic Signals. Properties of the Continuous-Time Fourier Transform. (Lecture 9)
9	Frequency Response of LTI Systems (Convolution Property). Multiplication Property. Basic Continuous Time Fourier Transform Pairs. (Lecture 10) - Example Problems 4
10	The Discrete-Time Fourier Transform. Properties of the Discrete-Time Fourier Transform. The Convolution Property. The Multiplication Property. Basic Fourier Transform Pairs. (Lecture 11 & Lecture 12)
11	Introduction to DFT, Introduction to Filtering (Lecture 13 & Lecture 14) - Example Problems 5
12	Midterm Exam 2
13	Sampling. The Sampling Theorem. Reconstruction of a Signal from Its Samples Using Interpolation. Aliasing. (Lecture 15)
14	z- Transform, Properties of z-Transform (Lecture 16) - Example Problems 6

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