MAE 143A – Signals and Systems (Summer Session I  2005)

Department of MAE, UCSD

Course web address: http://flyingv.ucsd.edu/krstic/teaching/143a/143a.html

Instructor: Prof. Miroslav Krstic, 1808EBUI, 822-1374, krstic@ucsd.edu

Text: Franklin, Powell, and Emami-Naeini, Feedback Control of Dynamic Systems, 5th ed., Prentice Hall, 2005.

Prerequisites: admission to MAE or bioengineering major and grade of C– or better in Math. 20E, 20F, and 20D.

Lecture Time and Place: MW, 5:00-7:50, CENTR 113

Discussion/Problem Session: Th, 5:00-6:50,  WLH 2204

Section ID: 542562

Holidays: Independence Day, Monday July 4

Last Lecture: Monday, July 25

Midterm: Monday, July 11

Final Exam: Wednesday, July 27

TA: Andrey Smyshlyaev,  1801 EBU I,  822-2406, asmyshly@ucsd.edu

TA Office Hours:  Tu 3-4pm, Th 10-11am, 1801 EBU I

Professor’s Office Hours:  Mon 10-11am or by appointment (e-mail, phone)

Grading: Homework 10%
                Midterm 30%   

    Final 60%

Matlab tutorial can be found here and some additional useful commands here

Midterm'05 solution

Midterm'04 solution

Homeworks:  hw1  due Thursday, July 7.

                       hw1 solution
                       hw2  due Monday, July 18.

                       hw2 solution

                       hw3  due Monday, July 25.

                       hw3 solution

                       hw4  due Wednesday, July 27.

                       hw4 solution

Exam Policy: Open book and notes.

Topics: Dynamical modeling and ordinary differential equations. Linearization and linear systems. Time domain properties of solutions, convolution. Laplace transforms, transfer functions. Fourier transforms, frequency response, spectra. Sampling and discrete signals. z-transform, discrete Fourier transform. Matlab for signals and systems.

Academic Dishonesty Policy: I plan on following the University rules on academic dishonesty (if you are considering taking chances, click here and read the lengthy Section 22.23). Since the exams are open book/notes, what is specifically forbidden is: collaboration and looking into someone else’s work. It is unfortunate that exams are conducted in crammed conditions, so please keep your attention focused on your own work. Even if I don’t notice collaboration or peeking into your neighbor’s work, keep in mind that if your work is similar to someone else’s (and especially if it is so in an idiosyncratic or erroneous manner), this constitutes evidence of academic dishonesty. Regarding homework, submitting work that is not your own constitutes academic dishonesty. There are two penalties for academic dishonesty: (1) any form of it will result in a failing final grade in the course; (2) it is the instructor’s responsibility to report all instances of academic dishonesty to the student’s college.  I have been forced to pursue this procedure in the past and in the most serious case it has resulted in a student’s suspension (even though it was the student’s first offense).  What is important to note is that not just me, but also your colleagues are watching you and have as much interest in a fair grading environment as I do.  In most cases that I have pursued, the offending activities were reported to me by students in the class.