Math Camp Prep for Economics PhD Students

Entering a graduate program in economics can be mathematically intimidating, with first-year core courses demanding a high level of formal rigor. This text-based course bridges the gap between undergraduate training and graduate-level economic theory by demystifying the essential mathematical tools you will use every day. You will develop the mathematical literacy and analytical skills needed to navigate microeconomics, macroeconomics, and econometrics. By reading clear, step-by-step explanations of mathematical principles and working through structured written exercises, you will build the intuition necessary to survive and thrive in your doctoral studies. What you'll learn: Understand foundational set theory, metric spaces, and real analysis concepts used in economic proofs; Apply matrix algebra and linear systems to solve multi-variable economic models; Master static optimization techniques, including unconstrained and constrained optimization with Kuhn-Tucker conditions; Analyze dynamic economic systems using basic differential and difference equations; Practice constructing rigorous mathematical proofs step-by-step. The course begins with essential mathematical language and foundational definitions, before progressing systematically through linear algebra, real analysis, and advanced optimization. You will read comprehensive explanations and solve practical mathematical problems designed to mirror first-year homework assignments. This course is designed for incoming PhD students in economics, finance, or related quantitative fields who want a comprehensive math camp review before starting their graduate studies, with no prior advanced graduate-level math required. Prepare yourself for academic success and master the language of modern economic theory today.