Calendar for ECEn 370
First day of Class: January 4, 2010
Date
|
Topics
|
Book Chapters
|
Assignments
|
1/4
|
Introduction
and Sets Background
|
1.1
|
-
|
1/6
|
Discrete
Probability Laws
|
1.2
|
-
|
1/7
|
-
|
-
|
HW
1 Due
|
1/8
|
Continuous
Probability Laws
|
1.2
|
Quiz
1
|
1/11
|
Conditional
Probability
|
1.3
|
-
|
1/13
|
Total
Probability Theorem
|
1.4
|
-
|
1/14
|
-
|
-
|
HW
2 Due
|
1/15
|
Independence
|
1.5
|
Quiz
2
|
1/18
Martin Luther King Jr. Day
|
No
Class
|
-
|
-
|
1/20
|
Counting
|
1.6
|
-
|
1/21
|
-
|
-
|
HW
3 Due
|
1/22
|
Discrete
Random Variables
|
2.1
|
Quiz
3
|
1/25
|
Probability
Mass Function
|
2.2
|
-
|
1/27
|
Functions
of Random Variables P1
|
2.3
|
-
|
1/28
|
-
|
-
|
HW
4 Due
|
1/29
|
Expectation,
Mean, Variance
|
2.4
|
Quiz
4
|
2/1
|
Joint
PMFs of Multiple Random Variables
|
2.5
|
-
|
2/3
|
Conditioning
|
2.6
|
-
|
2/4
|
-
|
-
|
HW
5 Due
|
2/5
|
Independence
|
2.7
|
Quiz
5
|
2/8
|
Summary
of Discrete Random Variables
|
2.8
|
-
|
2/9
|
-
|
-
|
-
|
2/10
|
Continuous
Random Variables and PDFs
|
3.1
|
-
|
2/11
|
-
|
-
|
HW
6 Due
|
2/12
|
Cumulative
Distribution Functions
|
3.2
|
Quiz
6
|
2/15
President's Day
|
No
Class
|
-
|
-
|
2/16
Monday Instruction
|
Normal
Random Variables
|
3.3
|
-
|
2/17
|
Joint
PDFs of Multiple Random Variables
|
3.4
|
-
|
2/18
|
-
|
-
|
HW
7 Due
|
2/19
|
Conditioning
|
3.5
|
Quiz
7
|
2/22
|
Continuous
Bayes' Rule
|
3.6
|
Midterm
|
2/23
|
-
|
-
|
Midterm
|
2/24
|
Summary
of Continuous Random Variables
|
3.7
|
Midterm
|
2/25
|
-
|
-
|
HW
8 Due
|
2/26
|
Derived
Distributions P1
|
4.1
|
Quiz
8
|
3/1
|
Derived
Distributions P2
|
4.1
|
-
|
3/3
|
Covariance
and Correlation
|
4.2
|
-
|
3/4
|
-
|
-
|
HW
9 Due
|
3/5
|
Conditional
Expectation and Variance Revisited
|
4.3
|
Quiz
9
|
3/8
|
Transforms
|
4.4
|
-
|
3/10
|
Sums
of Independent Random Variables
|
4.5
|
-
|
3/11
|
-
|
-
|
HW
10 Due
|
3/12
|
Random
Number of Independent Random Variables
|
4.6
|
Quiz
10
|
3/15
|
Markov
and Chebyshev Inequalities
|
5.1
|
-
|
3/16
|
-
|
-
|
-
|
3/17
|
Weak
Law of Large Numbers
|
5.2
|
-
|
3/18
|
-
|
-
|
HW
11 Due
|
3/19
|
Convergence
in Probability
|
5.3
|
Quiz
11
|
3/22
|
Central
Limit Theorem
|
5.4
|
-
|
3/24
|
Strong
Law of Large Numbers
|
5.5,
5.6
|
-
|
3/25
|
-
|
-
|
HW
12 Due
|
3/26
|
Bernoulli
Process
|
6.1
|
Quiz
12 Due
|
3/29
|
Poisson
Process
|
6.2
|
-
|
3/31
|
Discrete-Time
Markov Chains
|
7.1
|
-
|
4/1
|
-
|
-
|
HW
13 Due
|
4/2
|
Classification
of States
|
7.2
|
Quiz
13
|
4/5
|
Steady-State
Behavior
|
7.3
|
-
|
4/7
|
Absorption
Probabilities
|
7.4
|
-
|
4/8
|
-
|
-
|
HW
14 Due
|
4/9
|
Continuous-Time
Markov Chain
|
7.5
|
Quiz
14
|
4/12
|
Final
Review
|
-
|
-
|
4/14,
4/15 Exam Prep Days
|
No
Class
|
-
|
-
|
4/16
Final
|
Final
Exam , 7 AM – 10 AM
|
|
-
|