Mathematical Methods in Scientific Models
Graduate-level course on mathematical tools for scientific modeling, with an emphasis on problem solving, derivations, and building quantitative intuition.
I served as the teaching assistant for a graduate-level course on mathematical methods used in scientific modeling, taught by Prof. Nathan Paldor. I worked closely with students during problem-solving sessions, helping them navigate unfamiliar mathematical tools and address gaps in quantitative preparation.
In addition to instructional support, I developed and expanded the lecture notes by adding step-by-step derivations and intuitive explanations aimed at clarifying key methods and their practical use in modeling. These notes were designed to help students build confidence in applying mathematical techniques to physical systems and are available below.