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Course Syllabus

MATH1324 - Finite Mathematics with Business Applications

Catalog Description: Includes such topics as sets, functions, linear and quadratic inequalities, linear programming, the simplex method, matrix algebra, counting techniques, probability, and decision making. A computer component may be included. Lecture Hrs = 3, Lab Hrs = 0

Semester Credit Hours: 3
Lecture Hours per Week:
Contact Hours per Semester: 48
State Approval Code: 2703015200

Course Subject/Catalog Number: MATH1324
Course Title: Finite Mathematics With Business Applications

Core Curriculum:   State Criteria

Basic Intellectual Competencies (Those marked with a √ reflect the state-mandated competencies taught in this course.)

Reading
Writing
Speaking
Listening
Critical Thinking
Computer Literacy

Perspectives (Those marked with a √ reflect the state-mandated perspectives taught in this course.)

Establish broad and multiple perspectives on the individual in relationship to the larger society and world in which he/she lives, and to understand the responsibilities of living in a culturally and ethnically diversified world.
Stimulate a capacity to discuss and reflect upon individual, political, economic, and social aspects of life in order to understand ways in which to be a responsible member of society.
Recognize the importance of maintaining health and wellness.
Develop a capacity to use knowledge of how technology and science affect their lives.
Develop personal values for ethical behavior.
Develop the ability to make aesthetic judgments.
Use logical reasoning in problem solving.
Integrate knowledge and understand the interrelationships of the scholarly disciplines.

Exemplary Objectives (Those marked with a √ reflect state-mandated exemplary objectives taught in this course.)

Mathematics:   The objective of the mathematics component of the core curriculum is to develop a quantitatively literate college graduate.   Every college graduate should be able to apply basic mathematical tools in the solution of real-world problems.

  1. To apply arithmetic, algebraic, geometric, higher-order thinking and statistical methods to modeling and solving real-world situations.
  2. To represent and evaluate basic mathematical information verbally, numerically, graphically, and symbolically.
  3. To expand mathematical reasoning skills and formal logic to develop convincing mathematical arguments.
  4. To use appropriate technology to enhance mathematical thinking and understand and to solve mathematical problems and judge reasonableness of the results.
  5. To interpret mathematical models such as formulas, graphs, tables and schematics, and draw inferences from them.
  6. To develop the limitations of mathematical and statistical models.
  7. To develop the view that mathematics is an evolving discipline interrelated with human culture, and understand its connections to other disciplines.

Instructional Goals and Purposes:

Lee College's instructional goals include 1) creating an academic atmosphere in which students may develop their intellects and skills and 2) providing courses so students may receive a certificate/an associate degree or transfer to a senior institution that offers baccalaureate degrees.  

General Course Objectives:

Successful completion of this course will promote the general student learning outcomes listed below.   The student will be able

  1. To apply problem-solving skills through solving application problems.
  2. To demonstrate arithmetic and algebraic manipulation skills.*
  3. To read and understand scientific and mathematical literature by utilizing proper vocabulary and methodology.
  4. To construct appropriate mathematical models to solve applications.
  5. To interpret and apply mathematical concepts.
  6. To use multiple approaches - physical, symbolic, graphical, and verbal - to solve application problems.

Specific Course Objectives:

Upon successful completion of the course, the student will be able

  1. To use linear, quadratic, polynomial, exponential, piecewise, rational and logarithmic functions to solve applied problems relating to business and the natural sciences.
  2. To solve systems of linear equations by elimination, substitution, the Gauss-Jordon method, graphically and by the use of matrices
  3. To apply matrix algebra to solve applied problems
  4. To solve maximization and minimization linear programming problems by the graphical method and by the Simplex method
  5. To analyze the graphs of linear, quadratic, polynomial, exponential, piecewise, rational and logarithmic functions as they relate to applied problems of business and the natural sciences
  6. To solve problems involving simple and compound interest, present and future value of annuities, sinking funds and amortization of loans
  7. To apply the counting techniques of combinations, permutations and the fundamental counting principal to determine probabilities and odds
  8. To use descriptive statistical methods to organize, display and analyze sets of data

Course Content:

Students will be required to do the following:

  1. LINEAR AND QUADRATIC EQUATIONS AND FUNCTIONS
    • Solve linear and quadratic equations in one variable.
    • Graph linear and quadratic equations.
    • Define Function and interpret the graphs of functions.
    • Solve systems of linear equations with two or more variables.
    • Utilize techniques of solving systems of linear and quadratic equations to solve problems involving supply and demand, revenue, cost and profit, break-even analysis and market equilibrium.
    • Write the equation of a linear relation.
  2. SPECIAL FUNCTIONS
    • Graph rational and piece-wise functions.
    • Interpret the graphs of rational and piece-wise functions.
  3. MATRICES
    • Use the operations of addition, subtraction, scalar multiplication and multiplication of matrices to solve applied problems.
    • Solve systems of linear equations with unique and non-unique solutions by Gauss-Jordan elimination.
    • Determine the inverse of a square matrix.
    • Utilize the inverse of a square matrix to solve a system of linear equations.
  4. INEQUALITIES AND LINEAR PROGRAMMING
    • Graph linear inequalities in two variables.
    • Solve linear programming problems by graphical methods.
    • Apply the Simplex Method to solve Maximization and Minimization problems.
  5. EXPONENTIAL AND LOGARITHMIC FUNCTIONS
    • Solve, graph and interpret the graphs of exponential and logarithmic functions.
    • Apply the rules of logarithms to simplify logarithmic expressions and to solve exponential equations.
    • Solve applications of exponential and logarithmic functions.
  6. MATHEMATICS OF FINANCE
    • Solve problems involving simple interest and compound interest.
    • Solve problems involving ordinary annuities, annuities due, present and future value of annuities, installment loans, amortization, and sinking funds.
  7. PROBABILITY
    • Apply the counting techniques of combinations, permutations and the fundamental counting principal to determine probabilities and odds of one-trial experiments.
    • Determine the difference between events which are mutually exclusive and events which are not.
    • Evaluate problems of conditional probability.
    • Use Bayes' Formula to solve problems.
    • Create probability trees.
    • Utilize Markov chains in the analysis of price movements, consumer behavior or other processes in business and the life and social sciences.
    • Determine the probability of a Binomial probability experiment (or Bernoulli experiment).
    • Determine the mean, median, mode, variance and standard deviation of a set of data.
    • Identify discrete probability distributions.
    • Compute the expected value for an experiment.
    • Find the probability that normally distributed scores lie in a certain interval.                  
    • Convert normal distribution scores to z-scores.

Methods of Instruction/Course Format/Delivery:

Faculty may choose from but are not limited to the following methods of instruction:   lecture, discussion, Internet, video, television, demonstrations, field trips, collaboration,   readings.

Assessment:

Faculty may assign both in- and out-of-class activities to evaluate students' knowledge and abilities.   Faculty may choose from the following methods

  • Attendance
  • Book reviews
  • Class preparedness and participation
  • Collaborative learning projects
  • Compositions
  • Exams/tests/quizzes
  • Homework
  • Internet  
  • Journals
  • Library assignments
  • Readings
  • Research papers
  • Scientific observations
  • Student-teacher conferences
  • Written assignments

Course Grade:

Students' final grades are determined by:
100-90 A
89-80 B
79-70 C
69-60 D
59 or below F

Texts, Materials, and Supplies:

For current texts and materials, use the following link to access bookstore listings:   http://www.leecollegebooks.com

Other: