The combined-section Final Exam is scheduled for Friday December 12, 2008,
from 1:30 p.m. to 4:30 pm in Rooms 260, 335, and 253 Mechanical Engineering
Room assignments are as follows:
The Conflict Final Exam for ECE 313
is scheduled for Friday December 12, 2008,
from 7:00 p.m. to 10:00 pm in 163 Everitt Laboratory. You may not take the
Conflict Final Exam unless you have a conflict with the regular exam, have
informed your instructor of this conflict, and have received approval of your
request to take the Conflict Final Exam.
- Last names beginning with A-D, Room 260 Mechanical Engineering Building
- Last names beginning with E-K, Room 335 Mechanical Engineering Building
- Last names beginning with L-Z, Room 253 Mechanical Engineering Building
Students who are registered in ECE 313 AND in ECE 410 (whose final exams are at the same time
as those of ECE 313) should take the Final Exam for ECE 313 from 1:30 p.m. to 4:30 p.m.
and the Conflict Final Exam for ECE 410 from 7:00 p.m. to 10:00 p.m. These instructions
also apply to students registered in
ECE 313 AND ECE 410 AND ECE 440. Such students should also supply their ECE 440 instructor
with their COMPLETE Exam schedule so that the ECE 440 Conflict-of-Conflict Exam can be
Students registered in ECE 313 AND ECE 440 but not in ECE 410 should
take the Final Exam for ECE 313 from 1:30 p.m. to 4:30 p.m.
and the Final Exam for ECE 440 from 7:00 p.m. to 10:00 p.m.
- 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 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.