syllabusw10 - Engineering 100, Section 800, Winter 2010...

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1 Engineering 100, Section 800, Winter 2010 Introduction to Engineering Music Signal Processing Faculty: Andrew E. Yagle Professor; EECS 4114 EECS During/after lect. Pauline Bary-Khan Instr.; Tech Comm 308 EPB Tues. 1:40-2:30 Walburga Zahn Instr.; Tech Comm 319 EPB By appointment Tanay Bidasaria Instr. Asst.; EECS By appointment Leo K.C. Li Instr. Asst.; Aero By appointment Schedule: “WT3”=Windows Training Room #3, Duderstadt. “B505”=Basement of Pierpoint Commons. “FXB”=Aerospace Engineering. “EPB”=Engineering Programs Building (directly east of FXB). Lectures: Tue & Thur 10:40-noon 1109 FXB Tues: Yagle Thur: Khan Required Course Materials: Lectures, Labs, Matlab files and reading material will all be posted on the CTools website for the course: . Sign in with your UM ID and Kerberos password and select the Engin 100 tab. Textbook : ‘A Practical Guide to Technical Reports and Presentations,’ Pearson Publishers, (Pauline) Bary-Khan, Hildinger, & Hildinger, 2008. Used copies can be found. Project Description: You will apply the technical communication, teams, and engineering ethics skills you develop in this course to three projects. The first project is to build a simple computer-based tone synthesizer and transcriber. The second project is to analyze the signals used in touch-tone telephony and to design a computer-based touch-tone analyzer that decodes touch-tone signals, and a synthesizer that generates touch-tone signals. The third project is to build a computer-based four-instrument music synthesizer, and design an analyzer that transcribes the synthesized music into a format similar to musical staff notation. You will learn basics of digital signal processing, including sampling, Fourier analysis, and spectrograms, in a set of three weekly labs prior to the three projects. Thus this course serves as an introduction to signal processing (part of electrical engineering), as well as an introduction to engineering and design in general. However, the point of this course is to learn the practice of engineering, not technical material (that will come during the final three years of your undergraduate education). If team A produces a transcriber that works better than team B’s transcriber, but does a worse job working as a team and presenting their results both orally and in written form, then team A will get a lower grade (see “Grading” below). This is very realistic—in the real world, how you present your results is just as important as what those results are. If you cannot communicate what you have accomplished to your bosses, clients or customers, and peers, then it does not matter how good it is! The course grading reflects this (see the grading table for grading details). In general, Tuesday lectures will focus on signal processing concepts such as sampling, the discrete Fourier
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syllabusw10 - Engineering 100, Section 800, Winter 2010...

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