EE360D Signals and Systems I Discussion

Fall 2020, University of Nevada, Las Vegas

 

Homework assignments and due dates are located here

 

In this course we will make extensive use of MATLAB.

 

Textbook: Deterministic and Stochastic Signals and Linear Systems[UNPUBLISHED] (Dr. Stubberud’s Handouts)

Workbook: Schaum’s Outline of Signals and Systems, Fourth Edition

Instructor: David Santiago

Time: Offered as an online class to on-campus UNLV students

Course dates: Monday, August 24 to Wednesday, December 2

Location: Offered as an online class to on-campus UNLV students

Holidays: Monday, September 6 (Labor Day)

Course content – Introduction to signals and systems theory, analysis of continuous-time and discrete-time signals and systems.

Usage of differential equations (analog/discrete), and practical simulations on The Laplace Transform and Z-Transform. Credits: 1

Corequisite: EE 360; Prerequisite: EE 221 or EE 292, and MATH 431

          

Note: CA = Computer Assignment

 

Lectures:

November 11 – lec11_ee360d.pdf and lec11_ee360d_video – The Z-Transform, discuss CA 6

November 7 – lec10_ee360.pdf and lec10_ee360d_video – Continue reviewing The Laplace Transform, finish CA 5

November 1 – lec9_ee360d.pdf and lec9_ee360d_video – The Laplace Transform, go over example

October 23 – lec8_ee360d.pdf and lec8_ee360d_video – Zoom call, discuss CA 4

October 21 – lec7_ee360d.pdf and lec7_ee360d_video- Intro to Impulse Responses

October 9 – lec6_ee360d_video – Convolution and CA 3

September 26 – lec5_ee360d_video – State Space Equations, finish CA 2

September 11 – lec4_ee360d_video – Introduction to Block Diagrams, start CA 2

September 4 – lec3_ee360d_video – Zoom call, further discussing CA 1 (+ lec3_ee360d_video_opt - Advanced MATLAB Tricks)

September 2 – lec2_ee360d_video - Basic MATLAB coding, discuss CA 1

August 28 – lec1_ee360d_video - First Zoom Call, course introduction, intro to MATLAB 

 

Policies

  • No late work accepted.
  • Cheating or plagiarism will result in an automatic F grade in the course
  • Questions should be sent via Canvas in the discussion page so that similar questions may be answered only once.
  • Do your best, always.

 

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