This course will review modern quantitative methods used in decision making. The intent is to expose the student to various modeling techniques and to apply these techniques using Excel. Topics include linear programming, regression analysis, goal programming, and simulation models.
Prerequisite(s): Grade of "C-" or better in BUSAD 2100 Business and Economic Statistics and MATH 1100 College Algebra or higher.
(Normally offered each semester.)
BUSAD 2100 Business and Economic Statistics (3 hours)
An introduction to descriptive and inferential statistics. Topics include gathering, organizing, interpreting, and presenting data with emphasis on hypothesis testing as a method for decision making in the fields of business and economics. Procedures include z-tests, t-tests, ANOVAs, correlation, and simple regression.
Prerequisite(s): Demonstrated proficiency in high school algebra or permission of the instructor.
Corequisite(s): BUSAD 1090 Spreadsheet Applications.
(Normally offered each semester.)
MATH 1100 College Algebra (3 hours)
A study of functions from algebraic, graphical, numerical and modeling perspectives. The functions are chosen from among linear, polynomial, rational, exponential and logarithmic.
Prerequisite(s): Math ACT score of at least 21.
(Normally offered each semester.)
