Lecture 6 Blog, ECE302 Spring 2013, Prof. Boutin

Friday January 18, 2013 (Week 2) - See Course Outline.

(Other blogs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)


In Lecture 6, we presented the total probability theorem and Bayes rule. We illustrated both of these using a chess tournament example. We also illustrated both using a previously discussed detection problem. We ended the lecture by defining "independent events".

Action items for students (to be completed before next lecture)

  • Read sections 1.3, 1.4, and 1.5 in 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.
  • Solve the following problems (these will be part of the second homework, to be handed in later):
Problems 14, 15, 16, 17, 18, 24, 25 from 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.
  • Draw an event tree to represent the Monty Hall problem:
the Monty Hall Problem


Previous: Lecture 5

Next: Lecture 7


Back to 2013 Spring ECE302 Boutin

Alumni Liaison

has a message for current ECE438 students.

Sean Hu, ECE PhD 2009