# Finite Math—Semester A

You can't handle the truth tables.

Whether it was about polynomials or imaginary numbers, we've all thought it at one point or another. We've all asked ourselves the one question that turns math into a bottomless pit of pointlessness: "When am I ever going to use this?"

Well, not anymore.

In this Common Core-aligned course, we'll find that the real world does, in fact, have a place for math—and that place is everywhere. (Shocking, we know.) With loads of problem sets, readings, and quizzes, we'll bring math to life and talk about

- truth tables, arguments, and logical networks.
- linear functions and systems of linear equations.
- matrices and all the nifty things we can do with them.
- both geometric and algebraic linear programming.
- the math of finance, including interest and annuity.

P.S. Finite Math is a two-semester course. You're looking at Semester A, but you can check out Semester B here.

## Course Breakdown

### Unit 1. Logic

Logic is all about making statements. Sometimes they're fashion statements. Other times, they're mission statements. Then there's the occasional thesis statement or mathematical statement. We don't know if all the statements it makes are true, but that's where truth tables and logic circuits come into play.

### Unit 2. Linear Functions

Whether it's review or brand-new information, we'll examine straight lines in a good amount of detail in this unit. We'll learn (or recall) a thing or two about slope, what it means when lines are parallel or perpendicular, and even recognize the various forms linear equations can take—with and without the Groucho glasses.

### Unit 3. Systems of Equations

If you think you know all there is to know about systems of equations, we've got news for you: you don't. In this unit, we'll take you from refreshing your basic algebra skills all the way to solving systems of linear equations using Gauss-Jordan elimination. We'll even solve systems of more than two equations—and interpret our answers in context. *Then* you'll know all there is to know about these puppies.

### Unit 4. Matrices

In this unit, we'll explore the ins and outs of matrices, taking several twists and turns on our journey in order to become matrix masters. Real-world applications? Challenging math problems? We know you're dying to learn more about matrices already. So strap yourself in, and let's see how deep the rabbit hole goes.

### Unit 5. Linear Programming: Geometric

We'll start off linear programming by learning about linear inequalities. After delving into bounded and unbounded solutions to systems of linear inequalities, we'll get to the meat and potatoes of linear programming: optimization problems, the method of corners, and some really cool shading effects. Get those colored pencils ready.

### Unit 6. Linear Programming: Algebraic

Don't get us wrong: graphing is great. It's cooler than Free Cone Day at Ben & Jerry's—but like ice cream on a hot day, graphing has its limitations. Luckily, we can solve linear programming problems algebraically and get ourselves out of any sticky situation, particularly when several variables are involved. In a nutshell, algebra makes linear programming plain and simplex. (You'll get that joke after you finish this unit.)

### Unit 7. Math of Finance

Money talks—and you'll need to know a thing or two about interest, annuity, and amoritization if you're going to talk back. (Seriously, how do you expect to have a conversation if you don't speak the same language?) By the time we're through learning about loans, compounding interest, and sinking funds, you'll know exactly how to make your first million—and where to invest it.

## Sample Lesson - Introduction

#### Lesson 5: Standard Minimization Problem

(Source)

We're fresh off of our triumphant victory over standard maximization problems using the simplex method. We should get a parade in our honor to celebrate our success.

Solving maximization problems is all well and good, but we should keep in mind that they aren't the *only* type of problem. There are instances where we don't want to find the greatest amount possible, but the least amount.

Businesses certainly want to get the highest profit that they can, but that often involves figuring out how to spend the least amount of money. Manufacturers want to make as many products as possible, and that often involves using the least amount of material allowed. Elephants like to eat a lot, but we want to clean up as little of their poop as we can get away with.

Fortunately, we don't need to deal with elephant poop in this lesson. However, we do need to address what to do when we find ourselves faced with a *minimization* problem.

- Credit Recovery Enabled
- Course Length: 18 weeks
- Grade Levels: 10, 11, 12
- Course Type: Basic
- Category:
- Math

- Prerequisites:

Algebra II—Semester A

Algebra II—Semester B

Algebra I—Semester A

Algebra I—Semester B

Just what the heck is a Shmoop Online Course?

Courses Tutorial

### Common Core Standards

The following standards are covered in this course:

A-SSE.1bCCSS.Mat.Content.HSA-REI.B.3.1

CCSS.Math.Content.6.EE.C.9

CCSS.Math.Content.8.EE.C.8

CCSS.Math.Content.8.F.B.4

CCSS.Math.Content.HSA-CED.A.3

CCSS.Math.Content.HSA-REI.B.3

CCSS.Math.Content.HSA-REI.C.5

CCSS.Math.Content.HSA-REI.C.6

CCSS.Math.Content.HSA-REI.C.8

CCSS.Math.Content.HSA-REI.C.9

CCSS.Math.Content.HSA-REI.D.10

CCSS.Math.Content.HSA-REI.D.11

CCSS.Math.Content.HSA-REI.D.12

CCSS.Math.Content.HSA-SSE.A.1

CCSS.Math.Content.HSA-SSE.A.2

CCSS.Math.Content.HSA-SSE.B.3

CCSS.Math.Content.HSA-SSE.B.4

CCSS.Math.Content.HSF-LE.A.1

CCSS.Math.Content.HSF-LE.A.2

CCSS.Math.Content.HSF-LE.B.5

CCSS.Math.Content.HSG-CO.C.9

CCSS.Math.Content.HSG-CO.C.10

CCSS.Math.Content.HSG-CO.C.11

CCSS.Math.Content.HSG-GPE.B.4

CCSS.Math.Content.HSG-GPE.B.5

CCSS.Math.Content.HSN-VM.C.6

CCSS.Math.Content.HSN-VM.C.7

CCSS.Math.Content.HSN-VM.C.8

CCSS.Math.Content.HSN-VM.C.9

CCSS.Math.Content.HSN-VM.C.10

CCSS.Math.Content.HSN-VM.C.11

CCSS.Math.Content.HSS-CP.A.1

CCSS.Math.Content.HSS-ID.C.7

F-LE.1c