Course Information

Course Name	Turkish	Veri Toplama ve Sinyal İşleme
	English	Data Acquis.&Signal Processing
Course Code	MTA 551E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	3	3	-
Course Language		English
Course Coordinator		Erdinç Altuğ Erdinç Altuğ
Course Objectives		to introduce various types of hardware used in a typical measurement chain, to provide practical knowledge and experience on sampling theory, resolution and accuracy. to provide practical knowledge on data acquisition and setting up a measurement system using modern tools. to teach main signal processing techniques both in time and frequency domains.
Course Description		Introduction to data acquisition and signal processing. Types of signals. Components in the measurement chain. Sampling theorem, Resolution and accuracy. Time Domain Processing: Statistical analysis, correlation, convolution and digital filtering. Frequency Domain Processing: Fourier series, frequency resolution and windowing, Discrete Fourier analysis, aliasing, autospectrum, cross spectrum, Coherence, Frequency Response (Transfer) Function, Digital Filtering.
Course Outcomes		fundamental knowledge about the elements of measurement chain, ability to design an experiment and to select the ‘right’ hardware for the purpose, theoretical and practical knowledge about modern signal processing techniques and the ability to use them. ability to interpret the measured or processed data and to report the results.
Pre-requisite(s)
Required Facilities
Other
Textbook
Other References		Stearns S. D. and David, R. A., Signal Processing Algorithms in Matlab, Prentice-Hall Inc, 1996

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