Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6	7	8	9	10	11
Knows basic discrete-time signal and system types, convolution sum, impulse and frequency response concepts for linear, time-invariant (LTI) systems, difference equation realization of LTI systems and discrete-time Fourier transform and basic properties of these.	-	-	-	-	-	-	-	-	-	-	-
Understands periodic sampling of analog signals and the relation between Fourier transforms of the sampled analog signal and the resulting discrete-time signal.	-	-	-	-	-	-	-	-	-	-	-
Grasps z and inverse z transform, region of convergence concepts and their properties, performs simple transform calculations, understands the system function concept with its relations to impulse and frequency responses.	-	-	-	-	-	-	-	-	-	-	-
Understands the basic properties of system functions and frequency responses of LTI systems, minimum-phase, all-pass and linear-phase systems.	-	-	-	-	-	-	-	-	-	-	-
Understands signal flow graph and block diagram representations of difference equations that realize digital filters: (i) Learns direct forms 1 and 2 for IIR filter realization. (ii) Learns direct form for FIR filter realization.	-	-	-	-	-	-	-	-	-	-	-
Understands definitions and basic properties of forward and inverse discrete Fourier transform and their computation by fast algorithms.	-	-	-	-	-	-	-	-	-	-	-
Learns basic digital filter design methods: (i) Learns analog Butterworth and Chebyshev filters transformed to yield digital IIR filters, (ii) impulse-invariance and bilinear transformation methods for IIR filter design and (iii) FIR filter design methods based on windowing.	-	-	-	-	-	-	-	-	-	-	-