Predictive Hacks

Unlocking the Power of Applied Mathematics in Business, Economics, and Social Sciences

First published in 1977, "Applied Mathematics for Business, Economics, and the Social Sciences" has become a classic textbook in the field. The book is designed to provide a comprehensive introduction to mathematical concepts and their applications in business, economics, and social sciences. The author, Frank S. Budnick, aims to bridge the gap between theoretical mathematics and practical problem-solving.

Part IV: Matrix Algebra and Linear Models

  1. Mathematical Review: A review of basic algebraic concepts, equations, and functions.
  2. Calculus: Differential and integral calculus, with applications to optimization, marginal analysis, and economics.
  3. Linear Algebra: Matrix algebra, linear programming, and Markov chains.
  4. Probability and Statistics: Descriptive statistics, probability theory, and inferential statistics.
  5. Applications: Case studies and examples from business, economics, and social sciences.

A deeper dive into handling large data sets and constraints.

finite mathematics

The textbook is designed for a two-semester course covering and calculus for business and social science majors.