 Basic Course Information
 Course Description: This course is an indepth study and application of common algebraic functions, including polynomial, exponential, logarithmic, and rational, to problems in business, economics, and the social sciences are addressed. The applications include mathematics of finance, including simple and compound interest and annuities; systems of linear equations; matrices; linear programming; and probability, including expected value.
 Any required prerequisites: Students must have successfully completed Math 0303 or have the appropriate placement test score.
 Required Grade for Enrolling in the Next Course in this Sequence: A grade of C in this course is required to advance to MATH 1325.
 Online course content is administered through the college’s learning management system (LMS), Moodle, also called eCampus. A link to eCampus can be found on my.wtc.edu and to Moodle (the big M with a graduation cap) on the college’s home page, www.wtc.edu.
 Student Learning Outcomes.
 Apply elementary functions, including linear, quadratic, polynomial, rational, logarithmic, and exponential functions to solving realworld problems.
 Solve mathematics of finance problems, including the computation of interest, annuities, and
 Apply basic matrix operations, including linear programming methods, to solve application problems.
 Demonstrate fundamental probability techniques and application of those techniques, including expected value, to solve problems.
 Apply matrix skills and probability analyses to model applications to solve realworld problems.
 Testing Requirements
 Online Students: The midterm and final exam must be proctored by an approved testing organization. (Ask you instructor for more details.)
 Students are NOT allowed to use their book or notes of any kind while taking their proctored tests or midterm, and exam.
 Students are allowed to use a calculator. However, the TI89, TIInspire with CAS or any other calculator with CAS capability are not permitted.
 Major Course Requirements
 Major Requirement  Campus: There will be 35 chapter tests.
Online: There will be a midterm.
 Major Requirement – There will be a final exam.
 Major requirements and quizzes are all timed.
 Campus: Homework/Quizzes 20%  Lab 10%  Chapter Tests 45%  Final Exam 25%
Online: Quizzes 20%  Homework 10%  Lab 10%  Midterm Exam 30%  Final Exam 30%
 Final Grade: A = 90  100, B = 80 89, C = 70 79, D = 60  69, F = 59 and below.
 Information on Books and Other Course Materials
 Book: College Mathematics, 12th 13th edition by Barnett, Ziegler and Byleen
Book ISBN: 9780321947383
Book (alacarte) bundled with MyMathLab ISBN: 9780321947598
 Required Access Code: Online Students must purchase a MyMathLab Access Code. This code can be purchased stand alone or bundled with the textbook.
 Calculators: A TI84 or its equivalent is strongly recommended.
 Other Policies, Procedures and important dates. Please refer to the WTC Catalog for the following:
 Campus Calendar
 Final exam schedule
 How to drop a class.
 Withdrawal information
 Student Conduct/Academic Integrity
 Class Attendance
 Students with disabilities
 Course Content
Chapter 2 
2.1 Functions
2.2 Elementary Functions: Graphs and Transformations
2.3 Quadratic Functions
2.4 Polynomial and Rational Functions
2.5 Exponential Functions
2.6 Logarithmic Functions 
Chapter 3 
3.1 Simple Interest
3.2 Compound and Continuous Compound
3.3 Future Value of an Annuity; Sinking
3.4 Present Value of an Annuity; Amortization 
Chapter 4 
4.1 Review: Systems of Linear Equations in Two Variables
4.2 Systems of Linear Equations and Augmented Matrices
4.3 GaussJordan Elimination
4.4 Matrices: Basic Operations 
Chapter 5 
5.2 Systems of Linear Inequalities in Two Variables
5.3 Linear Programming in Two Dimensions: A Geometric Approach 
Chapter 6 
6.1 A Geometric Introduction to the Simplex Method 
Chapter 7 
7.2 Sets
7.3 Basic Counting Principles
7.4 Permutations and Combinations 
Chapter 8 
8.1 Sample Spaces, Events, and Probability
8.2 Union, Intersection, and Complement of Events: Odds
8.3 Conditional Probability, Intersection, and Independence
8.4 Bayes’ Formula
8.5 Random Variable, Probability Distribution, and Expected Value 
Statistics 
Variance and Standard Deviation
Binomial Distribution
Normal Distribution
Applications of the Normal Distribution 
Disclaimer: Schedule and content is subject to change at the instructor’s discretion.
Last Modified:
August 31, 2017
