This course introduces probability and statistics to students of Information Technology as well as the application of these concepts to the computing discipline. It examines the basic concepts of probability theory including counting and measuring and conditional probability and independence of events. It studies discrete, continuous, and joint random variables and functions of random variables. The course shows how to sum independent random variables, generate random numbers, and random event generation. It also discusses the Law of large numbers and the Central Limit Theory. The course also introduces linear and nonlinear regression, sampling distributions, confidence intervals, and hypothesis testing. The applications of these concepts to computing will be stressed throughout the course.
- Lecturer: Daniel Fokum