MATH 1324
Math for Social Sciences I

Western Texas College

  1. Basic Course Information
    1. Course Description:  This course is an in-depth 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.
    2. Any required prerequisites:  Students must have successfully completed Math 0303 or have the appropriate placement test score.
    3. 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.
    4. 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.
  2. Student Learning Outcomes. 
    1. Apply elementary functions, including linear, quadratic, polynomial, rational, logarithmic, and exponential functions to solving real-world problems.
    2.  Solve mathematics of finance problems, including the computation of interest, annuities, and  
    3. Apply basic matrix operations, including linear programming methods, to solve application problems.
    4. Demonstrate fundamental probability techniques and application of those techniques, including expected value, to solve problems.
    5. Apply matrix skills and probability analyses to model applications to solve real-world problems.
  3. Testing Requirements
    1. Online Students:  The midterm and final exam must be proctored by an approved testing organization.  (Ask you instructor for more details.)
    2. Students are NOT allowed to use their book or notes of any kind while taking their proctored tests or midterm, and exam.
    3. Students are allowed to use a calculator.  However, the TI-89, TI-Inspire with CAS or any other calculator with CAS capability are not permitted.
  4. Major Course Requirements
    1. Major Requirement - Campus: There will be 3-5 chapter tests. 
      Online: There will be a midterm.
    2. Major Requirement  – There will be a final exam.
    3. Major requirements and quizzes are all timed.
    4. 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%
    5. Final Grade:  A = 90 - 100,  B = 80- 89,  C = 70 -79,  D = 60 - 69,  F = 59 and below.
  5. Information on Books and Other Course Materials
    1. Book:  College Mathematics, 12th  13th edition by Barnett, Ziegler and Byleen
      Book ISBN:  9780321947383
      Book (alacarte) bundled with MyMathLab ISBN:  9780321947598
    2. Required Access Code:  Online Students must purchase a MyMathLab Access Code.  This code can be purchased stand alone or bundled with the textbook.
    3.  Calculators:  A TI-84 or its equivalent is strongly recommended.
  6. Other Policies, Procedures and important dates.  Please refer to the WTC Catalog for the following:
    1. Campus Calendar
    2. Final exam schedule
    3. How to drop a class.
    4. Withdrawal information
    5. Student Conduct/Academic Integrity
    6. Class Attendance
    7. Students with disabilities
  7. 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          Gauss-Jordan 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