EE 562a Midterm Exam
Name & Location:
1
EE562a MIDTERM EXAM
Wednesday October 15, 2008, 11 AM (1 hour, 20 minutes)
Location:ZHS (Science Hall), Room 163
Closed Book, one crib sheet allowed.
Special Instructions.
•
Check to make sure that this exam contains 11 pages, including the cover page.
•
Put your name and your lectureviewing location (oncampus
or remote location
) in the upper
right corner.
•
Crib sheet:
This exam is closed book and closed class notes. You can use both sides of one 8.5
×
11
inch sheet of paper for notes as a memory aid during the exam. This crib sheet will be collected
with the exam.
•
Calculators are permitted. No cell phones, pagers, or other communication devices are allowed.
•
Please bring a photo ID to the exam.
•
No conversation with exam proctors regarding the content of the exam is permitted. If you believe
that there is an error on the exam, write down the circumstances, your assumptions, and continue
as best you can.
•
Read problems carefully. Solving the wrong problem could be costly.
•
Do your work on the exam in the space provided or on the backs of pages.
If you need more
paper, ask for an extra sheet from the proctor. Put your name in the upper righthand corner of
this extra sheet. Turn these in with your exam for grading.
•
The answer form may be specified, e.g., if “a function of
M
” is requested, then the notation
M
can be used in the answer. All substitutions and symbolic manipulations that lead to simplifications
should be carried out in developing a final answer. Calculator evaluations of numerical answers are
not necessary, e.g.,
π/
√
3 is a satisfactory final answer form.
•
The notation
N
n
(
z

m
,
K
) for the Gaussian density
with nonsingular covariance matrices
and
the normalized Gaussian density’s tail integral
Q
(
z
)
,
(2
π
)

1
/
2
R
∞
z
e

x
2
/
2
dx
can be used without
further explanation.
•
Place only the requested answer (not its full derivation) in the answer space provided on the
exam. Two distinct answers to the same question, appearing in a final answer box, will be equally
weighted in grading.
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 Fall '07
 ToddBrun
 Probability theory

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