Course Detail
Units:
3.0
Course Components:
Lecture
Description
Introductory course will cover concepts from probability and statistics. Topics will include discrete and continuous random variable, distributions, univariate and multivariate distributions, expected values, moments, normal distribution, and derived distribution; maximum likelihood estimation, confidence intervals, and tests of hypotheses. Graduate students will be given extra projects to exemplify concepts learned.