On-Campus		Lecture	Subject	Topics
Week	Date
1	9/3	1		Introduction to the course
	9/5	2	Probability	Set theory
2	9/8	3		Probability space
	9/10	4
	9/12	5		Combinatorial analysis
3	9/15	6		Conditional probability
	9/17	7
	9/19	8
4	9/22	9	Random variables	Random variable
	9/24	10		Probability distribution function
	9/26	11
5	9/29	12		Probability density function
	10/1	13		Functions of a random variable
	10/3	14
6	10/6	15		Expected value, Moments, and characteristic function
	10/8	16
	10/10	17
7	10/13	Columbus Day
	10/15	18	Two or more random variables and random sequences	Joint CDF and PDF
	10/17	19
8	10/20	20
	10/22	21		Conditional distribution and density functions
	10/24	22		Expected value and correlation coefficient
9	10/27	23 Mid-Semester Date		More than two random variables
	10/29	24		Bivariate and multivariate Gaussian random variables
	10/31	25
10	11/3	26		Functions of two random variables
	11/5	27
	11/7	28		Convergence of random sequences
11	11/10	29
	11/12	30
	11/14	31	Random processes	Definition
12	11/17	32		Stationarity, mean and autocorrelation functions
	11/19	33		Properties of autocorrelation functions
	11/21	34		Power spectral density
13	11/24	35		Discrete random process Cyclostaionary process
	11/26	36		Stochastic continuity, differentiation, and integrals
	11/28	Thanksgiving
14	12/1	37		Time average and ergodicity
	12/3	38		Transmission of random processes through LTI systems
	12/5	39
15	12/8	40
	12/10	41		Special processes
	12/12	42