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 |
|
|
1/23, 25 |
Probability space |
||
1/30, 2/1 |
Conditional Probability and Independence |
||
2/6, 2/8 |
Random Variable, Expectation |
||
2/13, 2/15 |
Functions and Inequalities |
|
|
2/20, 2/22 |
M1—solutions Random Variables and Independence |
|
|
2/27, 3/1 |
Conditional Expectation |
|
|
3/6, 3/8 |
Gaussian Random Variables |
||
3/13, 3/15 |
Detection and Hypothesis Testing |
||
3/20, 3/22 |
Estimation; Review for M2 |
|
|
|
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 |
|
|
5/1, 5/3 |
Markov Chains: Continuous Time |
H10 |
H9 |
5/8 |
|
H10 |
|
5/18 |
Final: 155 DONNER LAB - 1230-330P |
|
|