ECE 313

Section E (Fall 2017)

Slides

8/28 Lecture 1

8/30  Lecture 2: poker

9/1   Problem session 1

9/11 Lecture 3: Ground work (random variables and conditional probability)

9/13  Problem session 2

9/18 Lecture 4: Polling (basic) (Bernoulli, Binomial, Geometric, Poisson)

9/20  Problem session 3

9/25  Lecture 5: Polling (advanced) (ML estimation, confidence interval, Bayes)

9/27 Problem session 4

10/2  Lecture 6: Hypothesis testing

10/4  Problem session 5

10/9  Lecture 7: From discrete to Continuous (pdf, CDF, uniform, exponential)

10/16   Lecture 8: Poisson Process and Gaussian r.v.

10/18  Problem session 6

10/23   Lecture 9: Function of random variables (CLT, failure rate, etc)

10/25  Problem session 7

10/30   Lecture 10: Jointly distributed random variables

11/1   Problem session 8