ESE 3260
Probability and Statistics for Engineering
Study of probability and statistics together with engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, geometric probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the law of large numbers, the central limit theorem. Applications: reliability, quality control, acceptance sampling, linear regression, design and analysis of experiments, estimation, hypothesis testing. Examples are taken from engineering applications.
Prerequisites & course information
Credit 3 units. Eng: TOP, TOPDNE, TOPIII Typical periods offered: Fall, Spring, Summer
Sources
- Course catalogue โ2026โ2027