ECE 313 Exams

Spring 2008


Hour Exams: Combined-section evening hour exams have been scheduled from 7 p.m. to 8 p.m. on Mondays March 3 and April 14 in Rooms 165 and 168 Everitt Laboratory.

You may bring one 8.5" by 11" sheet of notes to each hour exam; both sides of the sheet can be used, but the exams are closed-book and closed-notes otherwise. Electronic devices (calculators, cellphones, pagers, laptops, etc.) are neither necessary nor permitted.

To compensate for evening hour exams, there will be no ECE 313 classes on Friday February 29 and Friday April 4. There will be no ECE 313 classes on Friday March 7 due to Engineering Open House.


You can find copies of old hour exams by going to the web pages of previous offerings of ECE 313.



Final Examination: The combined-section Final Exam is scheduled for Friday May 2, 8:00 a.m. - 11:00 a.m., in 103 Talbot Laboratory. The Conflict Final Exam is scheduled for the same afternoon from 1:30 p.m. to 4:30 p.m. in 245 Everitt Laboratory.

  • You are allowed to bring THREE 8.5" by 11" sheets of notes to the exam; both sides of the sheets can be used, but the exam is closed-book and closed-notes otherwise. Electronic devices (calculators, cellphones, pagers, laptops, etc.) are neither necessary nor 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 Pascal or negative binomial random variable with parameters (r,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 (sigma)2

    • a bivariate random variable (X,Y) uniformly distributed on a region of the plane
    and
    • jointly Gaussian random variables with means (mu)x and (mu)y respectively, variances (sigmax)2 and (sigmay)2 respectively, and correlation coefficient (rho)

    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.

    A table of values of the unit Gaussian CDF will be supplied to you if it is needed on the exam.