EE3015 Signals and Systems
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Syllabus

Lectures: Monday, Wednesday & Friday, 10:10am - 11:00am, Phys 131

Instructor:

Alfonso Cano Pleite
Phone: (612) 624 3425
Email: alfonso@umn.edu
Office: EE/CSci 2-113
Office Hours: Monday 11:00am - 1:00pm or by email appointment
Teaching assistants:
Desalegn Bereka
bere0028@umn.edu
EE/CSci 6-149
Tue 1:00pm - 3:00pm

Liang Tu
tuxxx038@umn.edu
EE/CSci 6-147D
Mon 1:00pm - 3:00pm
Discussion sessions:
(D1) Thursday, 11:15am - 12:05pm, EE/CSci 1-262
(D2) Thursday, 12:20pm - 1:10pm, EE/CSci 1-262
(D3) Friday, 12:20pm - 1:10pm, EE/CSci 1-262
(D4) Friday, 1:25pm - 2:15pm, EE/CSci 1-262
(D5) Friday, 2:30pm - 3:20pm, EE/CSci 1-262

Professors:
(D1), (D2), (D3): Mihailo Jovanovic, mihailo@umn.edu, EE/CSci 5-157
(D4): James Leger, leger@umn.edu, EE/CSci 5-167
(D5): Alfonso Cano Pleite
Prerequisites: EE2011 (Linear Systems and Circuits), IT or instructor approval

Course Goals:

Develop an understanding of basic techniques for analysis/design of signal processing, communications, and control systems. Time/frequency models, Fourier-domain representations, modulation. Discrete-time/digital signal/system analysis. Z transform. State models, stability, feedback.
Text:
S. Haykin and B. Van Veen, Signals and Systems, Wiley, 2nd Ed. “Just Ask!” 2005.
Suggested Readings:
  • V. Oppenheim, A. S. Willsky, and S. H. Nawab, Signals and Systems, Prentice-Hall, 2nd Ed.,1997
  • H. Hsu, Schaum’s Outline of Signals and Systems, McGraw-Hill, 1995
Course Outline:
  • Introduction to signals and systems (~ 2 weeks)
    • Definitions and motivating examples
    • Classifications of signals
    • Properties of systems
  • Linear time-invariant (LTI) systems (~ 3 weeks)
    • The Convolution sum
    • Properties of LTI systems
    • State-space representations
  • Fourier representations of signals (~ 4 weeks)
    • Fourier Series representation of periodic signals
    • The Fourier Transform
    • Application of Fourier Series and Transforms
  • Extensions of Fourier representations (~ 3 weeks)
    • Laplace transform
    • Z-transform
  • Sampling theory (~ 1 week)
  • Introduction to filtering (~ 1 week)
Grading:
Homework (20%): Unless otherwise stated, homework will be assigned each Wednesday, due the following Wednesday. Late submission will NOT be accepted. Two or three homework assignments will be selected randomly for grading.
Midterm (30%): Time and date to be announced. Crib sheet will be given.
Final (40%): 8:00am-10:00am Tuesday, December 22. Crib sheet will be given.
Discussions (10%): Grading is based on active participation and short pop quizzes (without crib sheet) given during discussion sessions.

The maximum score for this class is 100 points. At least 60 points are required for passing; a C requires at least 70 points; a B requires at least 80 points; an A requires at least 90 points.

Means of Communication:
Reading material, assignments and solutions will be promptly posted on the course’s website. UMN email will be used for class communication. Students are advised to check UMN email on a regular basis.
Student Academic Integrity and Scholastic Dishonesty:
Academic integrity is essential to a positive teaching and learning environment. All students enrolled in University courses are expected to complete coursework responsibilities with fairness and honesty. Failure to do so by seeking unfair advantage over others or misrepresenting someone else’s work as your own, can result in disciplinary action. The University Student Conduct Code defines scholastic dishonesty as follows:

Scholastic Dishonesty: Scholastic dishonesty means plagiarizing; cheating on assignments or examinations; engaging in unauthorized collaboration on academic work; taking, acquiring, or using test materials without faculty permission; submitting false or incomplete records of academic achievement; acting alone or in cooperation with another to falsify records or to obtain dishonestly grades, honors, awards, or professional endorsement; altering forging , or misusing a University academic record; or fabricating or falsifying data, research procedures, or data analysis.

Within this course, a student responsible for scholastic dishonesty can be assigned a penalty up to and including an "F" or "N" for the course. If you have any questions regarding the expectations for a specific assignment or exam, ask the instructor.
Other UMN Policies:

Last modified: 09/25/09