The following is meant to give a general idea of which sections are covered in which weeks. Coverage may be different depending on such factors as MWF vs. TuTh schedule, different paces of individual instructors, etc. However, it is expected that all these sections will be covered.
Spring 2020
| Week | Lecture | Event | |
| 1/20 | Course introduction and 1. Sets | The first class is on Tuesday 1/21 | |
| 1/27 |
1. Sets, 2. Combinatorics |
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| 2/3 |
3. Conditional probability, 4. Bayes' Law |
2/3, last day for adding or dropping |
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| 2/10 |
5. Random variables 6. Conditional probabilty for random variables |
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| 2/17 |
7. Mean 8. Variance and other moments, 9. Percentiles |
Monday is Holiday; Tuesday=Monday | |
| 2/24 |
10. Mode 11. Joint distribution 12. Uniform distribution |
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| 3/2 |
13. Marginal distribution 14. Joint Monets 15. Covariance |
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| 3/9 |
16. Conditional Distribution, 17. Conditional moments 18. Double expectation formula |
Midterm is on Thursday 3/12, 7-9pm in LGRT219 | |
| 3/16 |
Spring Recess |
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| 3/23 |
19. Binomial, hypergeometric, trinomial 20. Nonnegative binomial distributions |
3/24, last day to drop with "W" | |
| 3/30 |
21. Poisson distribution 22. Exponential distribution |
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| 4/6 |
23. Normal distribtuion 24. Bivariate normal distributions |
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| 4/13 |
25. Central Limit theorem, 26. Order statistics 27. Moment generating function |
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| 4/20 | 28. probability generating function, 29. Transformations | Monday is Holiday; Wednesday=Monday | |
| 4/27 | 30. Transformation for two more variables and Final Review | 4/29, last class | |
| 5/4 | Final Exam is on 5/4, 10:30-12:30 in LGRT219 | ||
| 5/11 | Final grades is due 5/12 midnight | ||