Modern Statistics & Exploration of Large Data Sets

4.0 credits

Review the fundamentals of probability and statistics and learn to apply them in commonly encountered practical data analysis problems, including parameter estimation, hypothesis testing, regression, simulation, and advanced error analysis (both statistical and systematic). This course will have theoretical and practical components. Once the theoretical concepts are covered, the emphasis will be to apply them to actual calculations with data. Students will learn to use a software package employed in the manipulation and analysis of large data sets, and they will write their own computer programs to carry out calculations using supplied data sets.