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Build understanding around the impacts of Computer Science, how to work with data, and how to code in Python in an interactive block-based world.

Learn how to code using Python through exercises, assessments, and projects, and gain vital data analysis and visualization techniques.

Explore real-world AI applications, learn Deep Learning, and build AI projects using PyTorch, scikit-learn, and NumPy with hands-on, practical experiences.

Explore essential concepts of digital citizenship, including online safety, digital community, information literacy, and responsible use of technology. Through interactive lessons, discussions, and hands-on projects, students will develop the skills necessary to navigate the digital world responsibly and ethically.

This course covers decision-making skills related to goal setting, producing income, budgeting, spending, saving, tracking finances, borrowing, managing risk, and investing.

Learn how to code using Python through exercises, assessments, and projects, and gain vital data analysis and visualization techniques. Prepares students for the AP exam and portfolio submission.

AP Computer Science Applications with Java is a year-long course that covers the basics of programming using the Java programming language. Prepares students for the AP exam.

Integrated lessons for elementary-school classes to introduce foundational concepts in computer science. Students will learn about basic computing concepts and how technology can impact their communities. They will conduct a study around social media use in their community, and create a graphical representation of the data they collect. They will also learn simple programmatic commands using the platypus coding environment. They will practice writing algorithms, debugging and collaborative coding. This will build a foundation that will help students feel prepared and excited about computer science when they start middle school.

This course, aligned with 7th-grade Mathematics, integrates seamlessly into math curriculum. Each Computer Science unit reinforces one core math concept students learned in recent math units, strengthening their mastery of math skills through computer programming. Students will strengthen their understanding of the core math concept by revisiting its foundational ideas and exploring relatable applications using the Python programming language. Lessons are structured in a similar way as in the Illustrative Mathematics curriculum, with familiar tasks, contexts, and routines. Over the four units, students incrementally build a personalized project based on the theme of managing a store.

Dive into a comprehensive introduction to cybersecurity. The curriculum covers a wide range of topics, including fundamental cybersecurity concepts, cyber threats and vulnerabilities, secure coding practices, network security, cryptography, security policies and governance, incident response, ethical hacking, and emerging technologies. Through a blend of theoretical knowledge and practical applications, students will develop the skills necessary to protect digital assets and respond to cybersecurity incidents. The course culminates in a capstone project where students apply their learning to real-world cybersecurity challenges.

Take a deeper dive into fundamental programming concepts using Platypus, a button-based programming tool inspired by Python. Over 50 hours, students will develop computational thinking skills such as decomposition, debugging, and iterative design while exploring key topics like loops, conditionals, functions, and variables. They will also gain an understanding of how computers represent data, including binary and hex color codes. Through engaging miniprojects, students will solve real-world problems, design custom worlds, and create interactive programs, fostering creativity and problem-solving. This course provides a solid foundation in coding for students with no prior experience, preparing them for future computer science learning.