This course will introduce you to the fundamentals of the probability theory and random processes. The theory of probability was originally developed in 17th century by two great French mathematicians, Blaise Pascal and Pierre de Fermat, to understand gambling. Today, the theory of probability has many applications in science and engineering. From a broad intellectual perspective, probability is one of the core subjects of mathematics with its own distinct style of reasoning. Among the other core areas are calculus, algebra, geometry/topology, logic and computation. In this course, the students will learn the basic terminology and concepts of probability theory, including sample size, random experiments, sample spaces, discrete probability distributions, and probability density function, expected values, and conditional probability. The students will also learn about the fundamental properties of several special distributions, including binomial, geometric, normal, exponential, and Poisson distributions, and stochastic processes. Prerequisite: Grade of C or better in Mathematics 231. 08/23/2021-12/13/2021 Guided Studies Days to be Announced, Times to be Announced, Room to be Announced
- Teacher: Igor Woiciechoski