Applied Computer Science

AI Product Studio

About the Class

AI Product Studio is the second semester of Applied Computer Science, our free, year-long high school computer science course. Students who completed Foundations of Software and AI arrive here knowing how the internet works, how software is built, and how to use AI tools to write and ship code. This semester, they put all of it to work.

The format shifts from concept-driven weekly builds to a studio environment where students spend most of their time designing, building, and improving software projects. Facilitators work alongside them to push projects further and help students develop the judgment that comes from actually finishing things.

The semester culminates in a Demo Day where students present original applications to peers, facilitators, and parents. It counts as 0.5 credits and completes the high school computer science credit for the year.

Why Come?

🆓 Free for high school students
🏗️ Build real software products from idea to launch
🤖 Add AI features to applications using real developer tools
🔐 Implement databases, user accounts, and authentication
🎯 Develop product thinking alongside technical skills

Location:

Bletchley Commons
411 University Ridge
Greenville, SC 29601

Summer 2026

When:

Wednesdays or Thursdays

May 27 - Aug 6

Start:

3:00 - 5:00 PM

Fall 2026

When:

Wednesdays or Thursdays

Aug 26 - Dec 17

Start:

4:30 - 5:30 PM

Course Outline

The Most Amazing Statistical Achievement
in U.S. Sports History

Analyze insane outlier performances — from Simone Biles’ 11 Olympic and 30 World Championship medals to Wilt Chamberlain’s legendary 100-point game.

Learn how to set up your coding environment, run your first real program, explore sports data files, and use AI to guide you as you build your first sports analysis.

Build A Player Rating System

Create a custom player rating — like the overall score you see in sports video games — and watch the rankings shift as you tweak the inputs.

Learn how programs use numbers, variables, and calculations to turn raw stats into meaningful ratings.

Who’s Heating Up? Season Trend Tracker

Break down real game logs to spotlight players on hot streaks — with charts that show who’s surging and who’s slowing down.

Learn how code scans through many games at once using lists, loops, and basic data structures.

Team Breakdown: Become a Sports Analyst

Load full seasons of sports data to compare teams the way analysts do on ESPN — scoring, pace, efficiency, and more.

Learn how to filter, sort, group, and search inside large datasets to uncover hidden patterns.

Your Personal Scouting Report Generator

Pick any athlete and instantly generate a scouting report with strengths, weaknesses, standout plays, and statistical highlights.

Learn how different datasets connect, how to clean messy information, and how programs produce polished summaries.

Predicting the Future: Points, Performance & Breakouts

Build a simple prediction model that estimates how many points a player will score based on their recent performance and playing time.

Learn the basics of prediction, trends, and how computers find lines and patterns in data.

Shot Chart Studio: Heatmaps Like the Pros

Visualize thousands of real shot locations to create NBA-style heatmaps and shot charts — just like the ones used in TV broadcasts.

Learn how to work with coordinates, filters, and visual layers to turn raw event data into striking graphics.