Integration of Math and Computation Using Python
We integrate Python programming into all of our math courses, from Pre-Algebra through Calculus. These courses are currently offered during the spring semester (January to May). If you have a different schedule in mind, please feel free to submit a new class request.
Ongoing and Upcoming Live Sessions:
Python Programming for Middle School via Wayzata Community Ed, Tue 6:30–7:25 pm CST, Jan 14 – May 13, 2025. No class on Mar 11 and Apr 1. Course Webpage and Registration
Course Catalog
Python Basics (Syllabus)
Students will begin their journey with a 12-week Python Basics course, ideally taken alongside their study of Pre-Algebra or Algebra. This course will cover the foundational skills of Python programming, e.g., variables, expressions, conditionals, functions, data structures, preparing students to solve real-world math problems using code.
Python and Math (Syllabus)
After completing the basics, students will use Python as a powerful tool to solve complex mathematical problems across various courses, including Algebra 1, Geometry, Number Theory, Counting and Probability, Algebra 2, Precalculus, and Calculus.
The program is structured as a sequence of Python and Math courses:
Python and Algebra
Python and Geometry
Python and Number Theory
Python, Counting and Probability
Python and Advanced Algebra
Python and Precalculus
Python and Calculus
Python and Advanced Topics (Please contact us)
Students have the opportunity to explore the following advanced topics:
Python Advanced: Classes and Object-Oriented Programming
Python and Data Science
Python and Machine Learning
Python and Mathematical Modeling
Python and Research
Highlights
Enhanced Math Understanding: Students apply computational tools to deepen their understanding of mathematical concepts and solve problems more efficiently.
Coding Skills for the Future: Students gain proficiency in Python, a widely used programming language, preparing them for future studies in computer science, engineering, and other STEM fields.
Real-World Problem Solving: By using Python to solve math problems, students learn to approach challenges from multiple angles, improving both their analytical and coding skills.
Project-Based Learning: Every course includes practical projects that allow students to apply Python programming in a hands-on, interactive way, reinforcing their learning and making math more engaging.
Collaboration Opportunities: Working in groups on coding projects or mathematical simulations fosters teamwork and communication skills, which are valuable in both academic and professional settings.
Why This Approach Works
Side-by-Side Learning: In this immersive, side-by-side approach, students will learn math concepts alongside Python coding, with each reinforcing the other. Whether it's solving algebraic equations or visualizing geometric shapes, Python becomes a tool for exploring and understanding math in real time.
Hands-On Engagement: Students will not just learn abstract math concepts, but will see them come to life through coding. This approach promotes deeper engagement, where math and programming are learned together, leading to a richer understanding of both subjects.