ELEC 326 Lecture Notes - Lecture 1: Bachelor Of Applied Science, Computer Engineering, Sample Space

• School: Queen's University
• Department: Electrical and Computer Engineering Courses
• Course: ELEC 326
• Professor: Shahram Yousefi

Document Summary

Elec 326: probability and random processes course onq page. Course material (i. e. lecture slides & videos) by dr. saeed gazor, p. eng. Disclaimer: the material in this document is taken from course material presented in class and should be used for reference only. The document compiler is only combining relevant course material. Additionally, there may be errors present in this document during compilation. For any clarification or additional information, please consult the sources/references used. Moreover, please respect source content owners (direct or indirect). Without the permission of the owners, this material may not be used for commercial purposes. They represent events i. e. maps to the number x() : observed values of x varies at random. Cumulative distribution function (cdf: basically, adding pmf together = cdf, cdf of discrete random variable x is defined for by. Probability density function (pdf: also known as the function (, properties include (important), () 0.