| 3/2 |
1 |
Introduction |
| 3/7 |
2 |
Set Theory, Probability Axioms |
| 3/9 |
3 |
Conditional Probability, Independence |
| 3/14 |
4 |
Combinatorics |
| 3/16 |
5 |
Random Variable, Discrete Random Variable |
| 3/21 |
6 |
Joint Probability Mass Function, Average |
| 3/23 |
7 |
Functions of Random Variables, Moment, Variance |
| 3/28 |
8 |
Correlation |
| 3/30 |
9 |
Probability Generating Function, Weak of Large Numbers, Conditional PMF |
| 4/4 |
10 |
Decision, Conditional Expectation |
| 4/6 |
11 |
Continuous Random Variable |
| 4/11 |
12 |
Moment Generating Function, Transform |
| 4/13 |
13 |
Cumulative Distribution Function, Mixed Random Variables |
| 4/18 |
14 |
Functions of Random Variables, Central Limit Theorem |
| 4/20 |
|
중간고사 |
| 4/25 |
|
중간고사 휴강 |
| 4/27 |
15 |
Bivariate Random Variables, Joint PDF, Multivariate RV |
| 5/2 |
16 |
Conditional Probability, Conditional Expectation |
| 5/4 |
17 |
Jointly Gaussian, Random Vector, Expectation, Moments of Random Vector |
| 5/9 |
18 |
Transformation of Random Vectors |
| 5/11 |
19 |
Gaussian Random Vector, Random Process (Definition) |
| 5/16 |
20 |
Random Process (Moment, Mean, Correlation) |
| 5/18 |
21 |
Orthogonality, Stationarity |
| 5/23 |
22 |
Stationarity, Properties of ACF |
| 5/25 |
23 |
Fourier Transform |
| 5/30 |
24 |
Power Spectral Density, Gaussian Process |
| 6/1 |
25 |
휴강 |
| 6/6 |
|
현충일 휴강 |
| 6/8 |
26 |
Ergocidicity, Poisson Process |
| 6/13 |
27 |
Poisson Process |
| 6/15 |
기말고사 |
|