here is a brief introduction of myself and a few facts about me.

A simple randomized digital camouflage pattern using ggplot2 experiment.

This course provides a comprehensive introduction to probability distributions and their applications in statistical modeling and data analysis using the Julia programming language. Students will learn to understand, simulate, and apply various probability distributions, leveraging Julia's powerful computational capabilities. The course covers both theoretical concepts and practical implementations, ensuring students gain a solid foundation in probability and statistical computing.

simple example for reference

The Weibull distribution is highly versatile and finds applications across various fields due to its flexibility in modeling different types of data.

A table showing the rent of apartments in the surrounding MTSU-area by zip code for 2025.

This course introduces students to the principles and techniques of data analytics using Julia, with a special focus on the Tidier.jl package for data manipulation. Students will learn to manage, transform, and visualize data, as well as handle text and date operations effectively.