In this series of courses, we don’t just revisit the basics. We redefine them. Whether you've studied mathematical, computational, or statistical thinking before, chances are the fixed-mindset design of your learning environment limited your potential to truly understand the material as well as your appreciation for its beauty. These courses are built from the ground up to facilitate genuine growth, using research-backed learning and teaching techniques that focus on fostering deep understanding, not just memorization.

Every part of these courses, from the structure of each lecture to the final exam, has been meticulously designed to create an environment where you can thrive. Rather than simply teaching formulas, code snippets, or statistical methods, we dive into the why—the intuition behind how these ideas were originally devised. You'll engage in problem-solving that reflects the creativity of the original thinkers, allowing you to reconstruct concepts like linked lists and statistical models, rather than just recalling facts for a test. It’s a transformation in the way you think. By the end, you'll approach challenges with the mindset and tools needed for real-world success.

This approach draws from my own journey. Even at a top institution like Carnegie Mellon, I often found myself chasing grades instead of understanding. Now, having rediscovered my passion for growth, I’ve designed these courses to provide the learning environment I wish I had. It's a space that nurtures curiosity, creativity, and real progress.