EE126—Probability and Random Processes.

Department of EECS—University of California at Berkeley

Syllabus

Dates

Topics

Out (Tu)

Due (Th)

1/16, 18

Uncertainty and Randomness

H1

 

1/23, 25

Probability space

H2

H1

1/30, 2/1

Conditional Probability and Independence

H3

H2

2/6, 2/8

Random Variable, Expectation

H4

H3

2/13, 2/15

Functions and Inequalities

 

H4

2/20, 2/22

M1—solutions

Random Variables and Independence

 

H5

 

 

2/27, 3/1

Conditional Expectation

 

 

3/6, 3/8

Gaussian Random Variables

H6

H5

3/13, 3/15

Detection and Hypothesis Testing

H7

H6

3/20, 3/22

Estimation; Review for M2

 

H7

 

Spring Recess

 

 

4/3, 4/5

M2—solutions

Limits of RVs;

 

 

4/10, 4/12

Law of Large Numbers & Central Limit Theorem

 

 

4/17, 4/19

Random Processes: Bernoulli and Poisson

M2’ - practice problems  solutions

 

 

4/24 4/26

Markov Chains: Discrete Time

H9

 

5/1, 5/3

Markov Chains: Continuous Time

H10

H9

5/8

Review; Check List; Review Problems;

 

H10

5/18

Final: 155 DONNER LAB  - 1230-330P