| 1. Week |
set theory and probability theory |
|
| 2. Week |
Probability axioms, conditional probability and Bayes' theorem |
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| 3. Week |
Independent events, sequential experiments, and tree diagrams |
|
| 4. Week |
Counting methods and independent trials |
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| 5. Week |
Random variable concept and discrete random variables |
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| 6. Week |
Discrete random variable families |
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| 7. Week |
Probability mass function and cumulative distribution function in discrete random variables |
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| 8. Week |
Mean, expected value, moment, variance and standard deviation in discrete random variables |
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| 9. Week |
Continuous random variables |
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| 10. Week |
Probability density function and cumulative distribution function in continuous random variables |
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| 11. Week |
Continuous random variable families |
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| 12. Week |
Mean, expected value, moment, variance and standard deviation in continuous random variables |
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| 13. Week |
Random variable pairs and expected value |
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| 14. Week |
Functions, correlation and covariance of random variable pairs |
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