This comprehensive course bridges the gap between foundational statistical reasoning and practical applications related to business and engineering decision-making. Throughout the course, we’ll ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Statistical methods, as a technique, encompass a set of quantitative procedures for collecting, summarizing, modeling, and inferring properties of data under uncertainty. They include techniques for ...

Solve Real-World Problems With Applied Statistics. Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, ...

Objective probability estimates the odds of an event occurring through data analysis. It uses concrete measures instead of guesses to provide a reliable forecast.

Current course names and descriptions are available below; please note they are subject to change. You can also search for current and past course offerings on UAB's Class Schedule Listing site.

Introduction to probability theory and statistical methods necessary for analyzing the behavior of processes and experiments. Statistical tests for detecting significant changes in process parameters.

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Health Data Science and MSc in Operations Research & Analytics. This course is available with permission as ...

In recent years, large-scale RNA interference (RNAi) libraries that are designed to target complete genomes have been produced for multiple organisms. When arrayed in 96- or 384-well microplates, with ...