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==Action items for students (to be completed before next lecture)== | ==Action items for students (to be completed before next lecture)== | ||
*Read Sections 4.4, 4.5 in the textbook. | *Read Sections 4.4, 4.5 in the textbook. | ||
| − | *Solve the following practice problems and consider sharing your answer for discussion and feedback. (You will hand in your solution as part of homework 5. | + | *Solve the following practice problems and consider sharing your answer for discussion and feedback. (You will hand in your solution as part of homework 5.) |
**[[Practice_Question_gaussian_normalization_ECE302S13Boutin|Normalizing the probability mass function of a Gaussian random variable]] | **[[Practice_Question_gaussian_normalization_ECE302S13Boutin|Normalizing the probability mass function of a Gaussian random variable]] | ||
**[[Practice_Question_joint_from_marginals_independent_variables_ECE302S13Boutin|Obtaining the joint pdf from the marginal pdfs of two independent variables]] | **[[Practice_Question_joint_from_marginals_independent_variables_ECE302S13Boutin|Obtaining the joint pdf from the marginal pdfs of two independent variables]] | ||
Latest revision as of 06:43, 23 February 2013
Lecture 20 Blog, ECE302 Spring 2013, Prof. Boutin
Friday February 22, 2013 (Week 7) - 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 20, we learned about the cumulative distribution function of a random variable (both continous and discrete) and we began discussing normally distributed (continuous) random variables.
Action items for students (to be completed before next lecture)
- Read Sections 4.4, 4.5 in the textbook.
- Solve the following practice problems and consider sharing your answer for discussion and feedback. (You will hand in your solution as part of homework 5.)
Previous: Lecture 19
Next: Lecture 21
