M303D Syllabus


Prerequisite and degree relevance:  An appropriate score on the mathematics placement exam..  May not be included in the major requirement for the Bachelor of Arts or Bachelor of Science degree with a major in mathematics. Only one of the following may be counted: Mathematics 302, 303D, and 303F. A student may NOT earn credit for Mathematics 303D after having received credit for Mathematics 305G nor any calculus course.

Course description: The course treats some of the techniques which allow mathematics to be applied to a variety of problems. It is designed for the non-technical student who needs an entry level course developing such mathematics skills. Topics include: linear and quadratic equations, systems of linear equations, matrices, probability, statistics, exponential and logarithmic functions, and mathematics of finance.

Text Barnett and Ziegler, Finite Mathematics, eleventh edition

This course is an entry-level course for non-technical students. It deals with some of the techniques that allow mathematics to be applied to a variety of problems and seeks to develop these skills for this type of student. Roughly sixty percent of the students are from Liberal Arts; the other major groups are Communications, Fine Arts and Education. It is also taken by elementary education students before M316K.

A pocket calculator will be required to work problems at some stages of the course; a "scientific" one with xy, and Ln x functions is the type needed.

A suggested allocation of time is given for the chapters of the book treated. A few sections may be omitted at the instructor's discretion. The allocations given require 33 days.

Responsible Party: Kathy Davis, August 2007

  • Chapters 1 and 2: Libraries of Elementary Functions (7 days):  1.1 through 1.3; 2.1 through 2.3
  • Chapter 3 Mathematics of Finance (4 days):  3.1 through 3.4
  • Chapter 4 Systems of Linear Equations (7 days):  4.1 through 4.7
  • Chapter 5 Linear Inequalities and Linear Programming (2 days): 5.1 and 5.2 (covering the simplex method is unrealistic)
  • Chapter 7 Logic, Sets and Counting (4 days):  7.3, 7.4
  • Chapter 8 Probability (8 days):  8.1 through 8.5
  • Chapter 11 Data Description and Probability Distributions (5 days):  11.1 through 11.5