"Finite Mathematics" usually refers to a college-level math course designed for students in business, economics, social sciences, and life sciences who don’t necessarily need the full calculus sequence. Instead of focusing on advanced calculus proofs, it emphasizes practical applications of mathematics in the real world.

Here’s an overview of what’s typically covered in Finite Mathematics:

Core Topics

1. Linear Functions & Models

   • Linear equations and inequalities

   • Applications in business (cost, revenue, profit models)

2. Matrices & Systems of Equations

   • Matrix operations

   • Solving systems with matrices

   • Input-output models

3. Linear Programming

   • Graphical method (2 variables)

   • Simplex method (more variables)

   • Applications in resource allocation, optimization

4. Finance Mathematics

   • Simple & compound interest

   • Annuities, amortization, sinking funds

   • Loan payments and investments

5. Probability & Statistics

   • Basic probability rules

   • Conditional probability

   • Expected value (applications in decision making, insurance, games of chance)

6. Counting Methods

   • Permutations & combinations

   • Applications to probability

7. Markov Chains & Decision Making (sometimes included)

   • Transition matrices

   • Long-term predictions

8. Logic & Sets (in some textbooks)

   • Statements, truth tables

   • Venn diagrams, set operations

Applications

Finite Math is very application-driven—it connects math to:

• Business (profit maximization, cost minimization)

• Economics (supply/demand models)

• Life sciences (population growth, probability models)

• Social sciences (decision theory, statistics)

👉 Would you like me to make a detailed study guide for Finite Mathematics (with formulas, examples, and applications), or would you prefer a summary of key concepts for quick reference?