| 2026-08-24 |
worksheet |
syllabus, introduction to dice games |
| 2026-08-26 |
worksheet |
set theory |
| 2026-08-28 |
- |
sample space, event, random variable |
| 2026-08-31 |
- |
what is probability? the three axioms (and their implications) |
| 2026-09-02 |
- |
multiplication principle, permutations, combinations |
| 2026-09-04 |
- |
applications of counting principles |
| 2026-09-09 |
- |
introduction to craps, conditional probability (chp 2.4) |
| 2026-09-11 |
- |
conditional probability examples (chp 2.4) |
| 2026-09-14 |
- |
law of total probability (chp 2.4) |
| 2026-09-16 |
- |
diagnostic tests (chp 2.4), independence (chp 2.5) |
| 2026-09-18 |
- |
random variables (continuous, discrete), Bernoulli rv, pmf, cdf |
| 2026-09-21 |
- |
expected value of discrete random variables, Binomial rv |
| 2026-09-23 |
- |
expected value, LOTUS (chp 3.3) |
| 2026-09-25 |
- |
variance |
| 2026-09-28 |
- |
the Poisson distribution (chp 3.4, 3.6) |
| 2026-09-30 |
- |
the law of rare events |
| 2026-10-02 |
- |
midterm day |
| 2026-10-04 |
- |
probability of winning craps, continuous rv |
| 2026-10-07 |
worksheet |
continuous rv |
| 2026-10-09 |
- |
continued worksheet, photon reflection (chp 4.1, 4.2) |
| 2026-10-12 |
- |
normal random variables (chp 4.3) |
| 2026-10-14 |
- |
joint distributions - discrete case (chp 5.1) |
| 2026-10-16 |
- |
joint distributions - continuous case (chp 5.1) |
| 2026-10-19 |
- |
review multiple integration (e.g., chapter 13 of this textbook), (chp 5.2) |
| 2026-10-23 |
- |
multivariate LOTUS theorem, covariance (chp 5.2) |
| 2026-10-26 |
- |
what is statistics? (chp 5.3, 5.4) |
| 2026-10-28 |
- |
Sample means, Central limit theorem (chp 5.4) |
| 2026-10-30 |
- |
Central limit theorem, intro to point estimation (chp 5.4, 6.1) |
| 2026-11-02 |
- |
Examples of point estimators, law of large numbers (chp 6.1) |
| 2026-11-04 |
- |
Confidence intervals (chp 7.1) |