Department of Electrical and Computer Engineering
ECE 313 Late-Breaking News
The Final Examination is scheduled for
Friday May 3, 8 am -- 11 am, in Room 161 Everitt Laboratory.
- You are allowed to bring TWO 8.5" by 11" sheets of notes to the exam;
both sides of the sheets can be used.
Calculators, laptop computers, Palm Pilots and the like are not permitted.
- You are expected to know what is meant by
- a Bernoulli random variable with parameter p
- a binomial random variable with parameters (n,p)
- a geometric random variable with parameter p
- a Poisson random variable with parameter (lambda)
- a random variable uniformly distributed on (a,b)
- an exponential random variable with parameter (lambda)
- a gamma random variable with parameters (t, lambda)
- a Gaussian random variable with mean (mu) and variance
- a bivariate random variable (X,Y) uniformly distributed on a
region of the plane
If you have forgotten the formulas for the pmf/pdf/CDF
or the mean and variance of these (or do not have them written down on your
sheets of notes,) you will not
be given these pieces of information during the exam.
- jointly Gaussian random variables with means (mu)x
and (mu)y respectively, variances (sigmax)2
and (sigmay)2 respectively, and correlation
A table of values of the unit Gaussian CDF will be supplied to you if
it is needed on the exam.