Slide 1UncertaintyCourse overviewSlide 4Probability and Statistics in Computer Science and Software Engineering Chapters 1: Introduction1UncertaintyUncertainty: The condition when results, outcomes, and the nearest/remote future are not determinedLottery tickets, stock prices, football game outcomes, weather…People often turn to mathematics in an effort to predict the future …Which of course cannot be done – because the future is uncertainWhat we can do is examine data and draw conclusions about likely outcomes – this is a forecast, not a predictionWhen we forecast a future event, we realize that there is a possibility that this will be wrongOur goal is make the forecast as accurate as possible2Course overviewWe will spend the first few weeks reviewing basic probability, discrete and continuous random variable, and families of distributionsWe will then turn our attention to statistics, and after an introduction to the fundamental topics, we will see how to …Do parameter estimation on samplesCreate confidence intervalsDo hypothesis testingInvestigate statistical inference for other situations (non parametric, etc.)Study how to do regression
View Full Document