ECE 313 Exams

Spring 2009

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 March 20 and Friday April 10.

You can find copies of old hour exams by going to the web pages of previous offerings of ECE 313.Friday May 8, 8:00 a.m. - 11:00 a.m. in Room 149, National Soybean Research Center, 1101 W. Peabody Drive, Urbana.

Copies of some old final exams can be found by going to the web pages of previous offerings of ECE 313.

The Conflict Final Examination for ECE 313 is scheduled for

Friday May 8, 7:00 p.m. - 10:00 p.m., in 106B8 Engineering Hall.

You may not take the Conflict Final Exam unless you actually *have* a conflicting exam on Friday morning, have informed your instructor about it, and received permission to take the ECE 313 Conflict Exam. The complete Final Exam schedule for all Spring Semester courses can be found here.

- 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

- jointly Gaussian random variables with means (mu)
_{x}and (mu)_{y}respectively, variances (sigma_{x})^{2}and (sigma_{y})^{2}respectively, and correlation coefficient (rho)

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

- a Bernoulli random variable with parameter p