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Rhea Section for ECE302, Professor Boutin, Spring 2013

MWF 12:30- 1:20pm in MSEE B012

Message Area:

Course Information

  • Instructor: Prof. Mimi
  • Teaching Assistant: Wei-Kang Hsu
    • Email: hsu59 at purdue dot you know what
    • Office hours: T 1:30-3:30 / R 1:00-3:00 pm EE209
  • Schedule
  • Course Syllabus
  • Important Dates:
    • Test 1
    • Test 2
    • Final, TBD

Textbook

Probability, Statistics, and Random Processes for Electrical Engineering, 3rd Edition, by Alberto Leon-Garcia, Pearson Education, Inc., 2008, ISBN 0-13-601641-3


Homework


Lecture Blog

Lecture 1, 2, 3


Materials Cover

  • 1. Probability Models (Ch.1)
  • 2. Axioms of Probability, counting, conditional probability, independence(Ch.2)
  • 3. Random variables, Expected value and moments, probability mass function (Ch.3)
  • 4. Cumulative distribution function, functions of a random variable (Ch.4)
  • 5. Two random variables(r.v.), joint cdf of 2 r.v., independence of 2 r.v., conditional expectation (Ch.5)
  • 6. Vector r.v., jointly Gaussian r.v, estimation of r.v. (Ch.6)
  • 7. Definition of Random Processes(r.p.), Poison r.p., Random Walk (Ch.9)
  • 8. Power spectral density, response of linear systems to random signals (Ch.10)

Relevant Resources


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Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett