MW 11:40am–12:55pm · MW 4:10pm–5:25pm
2 distinct times across 4 sections.
3 of 4 sections have room
Prerequisites Prerequisites: Calculus, including multiple integration.
Description
Lect: 3. Covers the following topics: fundamentals of probability theory and statistical inference used in engineering and applied science; Probabilistic models, random variables, useful distributions, expectations, law of large numbers, central limit theorem; Statistical inference: pint and confidence interval estimation, hypothesis tests, linear regression. For IEOR graduate students
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Sections4
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- Full
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Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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