ECE ILLINOIS

ECE 313 Exams

Fall 2009

Hour Exams: Combined-section evening hour exams are scheduled as shown below.

Hour Exam I:   Monday October 12, 7 pm to 8 pm, 100 Noyes Laboratory
Hour Exam II:  Monday November 16, 7 pm to 8 pm, 100 Materials Science and Engineering Building

You may bring one 8.5" by 11" sheet of notes to the hour exams; 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 Wednesday September 30 and Friday October 2.

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 Tuesday December 15, 8 a.m. - 11 a.m. in Room 100, Materials Science and Engineering Building.

The Conflict Final Examination for ECE 313 is scheduled for Tuesday December 15, 1:30 p.m. - 4:30 p.m. in Room 245, Everitt Laboratory.

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

You may not take the Conflict Final Exam unless you actually *have* a conflict, have informed your instructor about it, and received permission to take the ECE 313 Conflict Exam. The complete Final Exam schedule for all Fall Semester courses can be viewed 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
    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.