“Data is meaningless unless it helps make decisions that have measurable impact.”
Today, top companies around the world use data to make decisions about their business. The reason they’re leading the way is that they’ve gained a strategic advantage over their rivals simply by shifting their focus to data rather than relying on business experience & good judgement alone.
[Students entering 1st grade & up to entering 8th Grade]
Click through the pink buttons to learn more about each class
Innovations in Drone Technology
AI + Big Data + Drones
In the last couple of years, the usage of UAV (aka, “drone”) technology has grown significantly. We use drones for taking impressive aerial photos, inspecting buildings, infrastructure, crops and even surveying and mapping but that’s just the tip of the iceberg. Drone enthusiasts are creative people and constantly coming up with new ways to use them. Students in the class will learn how drone technology is becoming one of the next big collectors of data and with the help of A.I. to process this data, we humans are able to take actions on these results.
Think of big data as raw unrefined material
Drones as the mining machinery
A.I. as the processing plant
And the actionable data is the resource that we humans can use or sell to add value to our society
Data vs Information
How to convert data to information. This class will focus on defining data, learning the types of data, representing data in a digital form, data terms in the computing world vs math world, measuring data, popular data sorting and searching algorithms. Lessons from this class will be helpful for our other summer classes where students learn to put data to action – otherwise … data has no value!
Electronic Music Production
Where Science meets Music
Understanding the science of making music and how music streaming companies like Spotify, Pandora, apple music know what songs you want to hear.
Video Game Theory
The worldwide video game market is currently valued at $137.9 billion and is projected to be $180.1 billion by 2021?
This class starts with a brief history of video games and then we take a look at current development practices in video game design, development practices and possible directions for the development of the field. It has been said that
information gained while programming computers to play games is directly transferable to other areas of scientific and business programming.
Artificial Intelligence in gaming
Video game psychology
Cognitive benefits/drawbacks of prolonged game play
The goal of this class is to allow students to apply their understanding of how video games are made not just in programming/design projects but also how group efforts reflects the collaborative, quality work that the industry requires. This is a great class for students who move onto our Coding + Game Design class.
Putting Artificial Intelligence to work
A.I. + Data = Action
Students will be learning what it takes to build a cognitive system using data & AI for decision making, more recently dubbed : Systems of Agency.
Through interactive lessons and hands on activities, this class will focus on helping our students achieve a scientific understanding of :
What is AI (what is artificial and what is intelligence)?
How the brain and computers work together and how AI is achieved
Why AI is finally relevant, since it’s been around a while
Parkour, Dance and Core Movement Classes
Join Coach Keith from Precision Parkour, Miranda from Hawaii Dance Bomb and Ms. Ronja from Circus O’lina will keep our students active first thing in the morning before we get their synapsis firing. Kids will end class each day, sweaty and smiling from fun movement lessons, choreography, physical challenges, games and more. After every class, students will capture their metrics and chart performance over time and follow up with analysis.
Elements of Parkour
Lightsaber Fight Choreography
Nerf Target Practice
Compete in a Nerf Obstacle Course
Data Visualizations & Infographics Design
In the attention scarce world of today, information graphics (or infographics) have taken the media and communications industries by storm. Reading graphs is a skill. You might have been taught how to read line, bar, and pie charts in elementary school because they have been around longer than others and are used the most, but there is a wide array of graph types outside of these standard types that we can use to visualize data.
We hope to help students expand their graphic literacy with data visualizations, the art and science of turning data into readable graphics. We’ll explore how to design and create data visualizations based on fun sources of data, learn to evaluate the effectiveness of visualization designs, and think critically about each design decision, such as choice of color and choice of visual encoding.
Data Processing (such as aggregation and filtering)
Mapping data attributes to graphical attributes
Strategic visual encoding based on known properties of visual perception as well as the task(s) at hand.
Fun with Algorithms
Generative Art with Technology
Data Analysis with Python
Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. This course focuses on Python specifically for data science. In a Blended Learning Environment, students will learn about powerful ways to store and manipulate data as well as cool data science tools to start your own analyses.
An introduction to the basic concepts of Python.
Functions and Packages
NumPy (a Python package to efficiently do data science with faster and more powerful tools for data exploration)
*Depending on age diversity of the class enrollments, younger students (K-2nd or 3rd) will work on image based programing lessons, not text based
Half day (8am - 12:00pm), Full day (8am - 4:00pm)
7:45am - 7:55am
Morning Drop Off Window
8:00am - 9:15am
Dance & Core Movement (T-Th)
9:15am - 9:30am
9:30am - 10:45am
Computational Thinking: Data vs Information (M-W-F)
Innovations in Drone Technology = AI + Big Data + Drones (T-Th)
10:45am - 11:00am
11:00am - 12:15pm
Video Game Theory (M-W-F)
Data Visualizations & Infographics Design (T-Th)
12:15pm - 1:15pm
Lunch & Recess
1:15pm - 1:30pm
1:30pm - 2:30pm
AI + Data = Action (M-W-F)
Electronic Music – Where Science Meets Music (T-Th)
2:30pm - 2:45pm
2:45pm - 3:45pm
Generative Art with Technology (M-W-F)
Data Analysis with Python (T-Th)
3:45pm - 4:0pm
Pack Up, Clean Up and start heading toward Pick Up