University of Wisconsin Madison Signals, Information, and Computation (E C E 203) Syllabus Course Learning Outcomes Course Learning Outcome 1 Students will be able to use time-domain and frequency-domainsssss methods analyze signals. 2 Students will be able to use Matlab to process and analyze signals. Details Signals, Information, and Computation E C E 203 ( 3 Credits ) Description Introduction to the signals, information, and computational techniques in electrical engineering. Prerequisite(s) MATH 211, 217, 221, or 275 Department: ELECTRICAL AND COMPUTER ENGR College: College of Engineering Instructor Instructor Name Instructor Campus Address instructorEmail@emailaddress.edu Contact Hours 4 Course Coordinator NOWAK, ROBERT Text book, title, author, and year Signal Processing First; McClellan; 1; 2003 Supplemental Materials None. Required / Elective / Selected Elective J. H. McClellan, R. W. Schafer, and M. A. Yoder, Signal Processing First.Prentice-Hall, 2003. ABET Program Outcomes Associated with this Course 1 A An ability to apply knowledge of mathematics, science, and engineering 2 B An ability to design and conduct experiments, as well as to analyze and interpret data 3 C An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability 4 E An ability to identify, formulate, and solve engineering problems 5 I A recognition of the need for, and an ability to engage in life-long learning 6 J A knowledge of contemporary issues 7 K An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice Program Specific Student Outcomes Brief List of Topics to be Covered sinusoids, complex exponentials Fourier series (continuous and discrete) spectrogram signal coding filtering image processing two dimensional Fourier series FFT frequency response of linear systems Additional Information Printed: Oct 20, 2017 1:03:52 PM Generated by AEFIS. Developed by AEFIS, LLC Copyright © University of Wisconsin Madison 2017. All rights reserved.