Introduction to Probability and Random Processes

Course Search > Engineering/Engineering Technology > EECE.3630

Course No: EECE.3630-046; SIS Class Nbr: 3436; SIS Term: 2940
Course Status: Open Added 4/15/20

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: Jean-Francois Millithaler
  • Textbook Information

When Offered & Tuition

  • Online Course
  • Summer 2020: Jul 06 to Aug 16
  • Chat Hours: Wed 6-7pm*
  • Course Level: Undergraduate
  • Tuition: $1140
  • Note: There is a $30 per semester registration fee for credit courses.

*Chat Hours provide an opportunity for the instructor and students to communicate in "real time". It is an informative and interactive session where course related questions, answers, and discussions take place. While student attendance during chat hours is not required, it is highly recommended. Weekly chat sessions are archived for students who are not able to participate in the live chat sessions at the scheduled times.

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