EE 322: PROBABILISTIC METHODS FOR ELECTRICAL ENGINEERS

SCHEDULE OF TOPICS

• Probability Models in Electrical and Computer Engineering
  • Mathematical Models
  • Deterministic Models
  • Probability Models
• Basic Concepts of Probability Theory
  • Random Experiments
  • Axioms of Probability
  • Conditional Probability
  • Independence of Events
  • Sequential Experiments
• Random Variables
  • Cummulative Distribution Function
  • Probability Density Function
  • Some Important Random Variables
  • Functions of a Random Variable
  • Expected Value of a Random Variable
  • Markov and Chebyshev Inequalities
  • Transform Methods
• Multiple Random Variables
• Sums of Random ariables and Long-Term Averages
• Introduction to Random Processes

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