As computational power increases, so does our ability to use computers to solve previously unsolvable problems. We will be surveying various topics in computational statistics, including Data Visualization, Bootstrapping, Monte Carlo, Regression, Hyperparameter Tuning, and Model Validation. We will use Google Colab and work with open source datasets to create mini-projects for you to share!

When most people think about crimes, they think about solving the case and putting whoever is responsible behind bars. But have you ever asked why people do crime in the first place? What is the underlying motive? In this class, we will have a taste of what criminology is like and hopefully come up with ways to address and prevent crime.

Ever wondered what is going through a criminal's mindset before, during, and after the crime? Have you wondered why people would even consider committing a crime? While crime will always exist to some degree, what we $$\textit{can}$$ do is study why it occurs so that we can take preventative measures.

While most of us are not exactly fond of viruses, what if to beat a virus, we introduce another virus? What if we are able to turn our invisible enemy's best weapon against them? Seems like a crazy idea, but it's an idea that's literally going viral.

In Among Us terms, beyond saying "Red Sus," perhaps another question we should ask is why did red kill in this particular location and time? In formal terms, beyond asking the question, "Who dun it?," perhaps another question that we should ask is why do people do crime? This class dives into some criminological theories to get a better understanding of why people perform such deviant behavior.

When watching crime drama on TV, many of us are usually thinking the question, "Who dun it?" However, once we see the police capture the criminal, we usually forget about why did the criminal do the crime? This class takes a brief look at some criminological theories to get a better understanding of why people do crime.