This course teaches students how to reason with data by covering topics such as convex regions, bias in polls, expected value, compound interest, exponential and linear functions, logarithms, and compactness. The course aims to develop skills in analyzing and interpreting data, making informed decisions, and understanding mathematical concepts. The teaching method includes theoretical explanations and practical examples to illustrate the application of data reasoning. This course is intended for individuals interested in improving their data analysis skills and understanding mathematical concepts in real-world scenarios.
Overview
Syllabus
Convex regions and convex hulls.
Polls and Bias.
Expected Value.
Compound Interest.
Exponential Fns (and Linear Fns).
Logarithms: Introduction.
Combining Logs and Exponents.
Log Rules.
Compactness: Polsby-Popper vs. Schwartzberg.
Sam’s Ski Shop and Expected Profit.
Taught by
Linda Green
