MATH 230 · also MATH 730, STA 230
Probability
Conghan Dong, Sudheesh Surendranath, Aric Wheeler, Vincent Goverse
Description from DukeHub
Probability models, random variables with discrete and continuous distributions. Independence, joint distributions, conditional distributions. Expectations, functions of random variables, central limit theorem. Prerequisite: Calculus II (Mathematics 22, 112L, 122, or 122L) OR credit for multivariable calculus (Mathematics 202, 212, 219, or 222) OR graduate student standing. Not open to students who have credit for Mathematics 340.
Skills
- data and statisticstitle: "probability"
AI-resilient: 0 of 5
- No: Physical, lab or field work
- No: Live work with people
- No: Judgment someone is accountable for
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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