Revision as of 11:06, 15 February 2013

ECE302 Course Outline, Spring 2013, Prof. Boutin

Part 1: Foundations (To be tested in the first intra-semestrial exam)

Week 1-3 (Lecture 1, 2, 3, 4, 5, 6, 7, 8, 9)

• 1.1 Sets
  • Definition
  • Operations
  • De Morgan's Law
• 1.2 Probability Models
  • Sample spaces
  • Probability Laws (axioms, properties
• 1.3 Conditional Probabilities
• 1.4 Independence
• 1.5 Bernoulli Trials
• 1.6 Counting

Suggested references:

Chapter 1 and 2 of the textbook,

Chapter 1 of "Introduction to Probability," by Dimitri P. Bertsekas and John N. Tsitsiklis. Athena Scientific, Belmont, Massachusetts, 2008, ISBN 978-1-886529-23-6.

Foundations of Probability Theory: Basic Definitions, module by Don Johnson posted on Connexions

Part 2: Discrete Random Variables (To be tested in the second intra-semestrial exam)

Week 4-5(6) (Lecture 10,11, 12, 13, 14, 15, 16, (17) )

• 2.1 Definition and examples
• 2.2 Functions of a discrete random variable
• 2.3 Moments of discrete random variable
• 2.4 Conditioning of a discrete random variable
• 2.5 Independence of discrete random variables

Suggested References

Chapter 3 in the textbook

Chapter 2 in "Introduction to Probability," by Dimitri P. Bertsekas and John N. Tsitsiklis. Athena Scientific, Belmont, Massachusetts, 2008, ISBN 978-1-886529-23-6.

Chapter 4 of Collaborative Statistics by Illowski and Dean (available online)

Part 3: Continuous Random Variables (To be tested in the second intra-semestrial exam)

Week (6)7- ? (Lecture (17) 18?)

• 3.1 Definition of continuous random variable, probability density function.

Week 6-10 (Lecture ?)

Suggested References

Chapter 4,5,6 in the textbook

Part 4: To be tested in the final exam

Week 11-15

• Stochastic Processes

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