Introduction to Probability and Random Processes

Course Search > Engineering/Engineering Technology > EECE.3630

Course No: EECE.3630-011; SIS Class Nbr: 1137; SIS Term: 2840
Course Status: Canceled 5/17/19

Course Description

This course employing probabilistic methods of signal and system analysis (an extension of 16.362) considers the random nature of the world faced by electrical engineers. The course addresses the issues of the nature and characterization of random events, especially noise and its effect on systems. The course is divided into three parts, 1) Introduction to discrete and continuous probability 2) Introduction to statistical methods and 3) random signals and noise and the response of linear systems to random signals. There will be frequent use of Monte-Carlo simulation techniques on the computer to allow students to verify theory and to learn the important technique of simulation. Applications of theory to manufacturing and reliability, noise analysis, spectral analysis, data communication, data collection, and system design will be presented. Prerequisite: 16.362

Prerequisites, Notes & Instructor

  • Prerequisites: MATH 1320 Calculus II with 'C' or better
  • Special Notes:
  • Section Notes:
  • Core Codes: STEM
  • Credits: 3; Contact Hours: 3
  • Instructor:
  • Textbook Information

When Offered & Tuition

  • TBD
  • Summer 2019: May 20 to Jul 01
  • Course Level: Undergraduate
  • Tuition: $1020
  • Note: There is a $30 per semester, nonrefundable registration fee for credit courses.

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