Excel for Mathematics: Analyzing Maxima and Minima

Understanding mathematical optimization is essential for solving complex engineering, physics, and financial problems. This text-based course bridges the gap between theoretical calculus and practical computation, showing you how to model and solve maxima and minima problems directly inside Excel. You will transition from manual algebraic calculations to automated, digital problem-solving workflows. In this course, you will learn to set up functions, analyze critical points, and find optimal solutions using Excel's built-in mathematical capabilities. We start with foundational definitions of global and local extrema before moving to practical spreadsheets. What you'll learn: - Understand the core mathematical principles of maxima, minima, and optimization - Configure Excel formulas to calculate derivatives and critical points numerically - Apply Solver and Goal Seek to find optimal values for complex mathematical functions - Design dynamic data tables to track function behavior across custom ranges - Analyze real-world engineering and optimization scenarios using structured spreadsheets - Practice troubleshooting errors and refining constraints for accurate mathematical models We begin with essential mathematical terminology and basic spreadsheet setups. From there, you will progress through practical step-by-step written tutorials that guide you through building optimization models, writing precise formulas, and applying advanced constraints to solve complex calculus-based problems. This course is designed for beginners, students preparing for technical exams, and professionals looking to apply mathematical optimization in Excel. No advanced programming or prior spreadsheet experience is required. Start learning today and master mathematical optimization in Excel through clear, structured text lessons.