lecture will be held on January 15 at ENG LG 12. The
lecture notes are posted on this page.
LECTURE HOURS, ROOM, CONSULTING HOURSU
Every Thursday, at
ENG LG 12
Every Thursday, at ENG 324
Quizzes: 4 * 5% = 20%
Midterm Exam: 35%
Final Exam: 45%
are 5 assignments. Students are expected to solve all the assignment
problems. Information about these assignments will be posted on the course
homepage. Although the assignments will not be collected, it is highly
suggested student do the assignment problems by themselves.
in-class quizzes, each 30 minutes and 5% weight.
Exam and Final Exam:each
is a 3-hour
Yates and D. J. Goodman, Probability
and Stochastic Processes, a friendly introduction for electrical and
computer engineering, Second Edition, John Wiley & Sons Inc.,
M. Ross, Introduction to
Probability Models, Eighth Edition, Academic Press, 2003.
A. Papoulis and
S. Unnikrishna Pillai, Probability, Random Variables and Stochastic
Processes, McGraw Hill 2002.
M. H. DeGroot
and M. J. Schervish, Probability and Statistics, Addison Wesley,
third edition, 2002.
P. Z. Peebles
JR, Probability Random Variables and Random Signal Principles,
Experiments, Models, and Probabilities
Sample Space, Events and Probabilities
chapters in the textbook: Chapter 1
1 (question 1 - 7)
Chapter 2.1: Random Variables
Random Variables (RVs)
Cumulative Distribution Function (CDF)
Probability Density Function (PDF)
Continuous-type Random Variables: Normal (Gaussian), Uniform,
Exponential, and Rayleigh RV
Discrete-type Random Variables: Bernoulli, Binomial, Poisson,
Uniform, and Geometric RV
Chapter 2.2: Statistics of RVs
Mean (Expected Value)
Variance of a RV
Moments and Characteristic Function (CF)
Functions of a Random Variable
chapters in the textbook: Chapter 2 and Chapter 3