Examination of quantitative skills useful to managers. Discussions focus on selected algebra topics, mathematics for finance and descriptive statistics and probability. Prerequisite: Knowledge of college algebra, Excel, or other computer spreadsheet applications is important.
Prerequisite(s) / Corequisite(s):
Knowledge of college algebra, Excel, or other computer spreadsheet applications is important.
Most current editions of the following:
Spreadsheet Modeling & Decision Analysis
By Cliff T. Ragsdale, Ed. (Thomson Southwestern) Recommended
Course Learning Outcomes
Use linear programing for optimization and modeling of business applications.
Apply the concept of sensitivity analysis to business decision making.
Apply regression analysis for problem solving in business applications.
Explain queuing theory.
Evaluate risk assessment and project management.
Major Topics/Skills to be Covered:
Optimization linear programming
Modeling LP problems
Integer linear programming
Material from this course may be tested on the Major Field Test (MFT) administered during the Culminating Experience course for the degree.
Recommended maximum class size for this course: 15
NOTE: The intention of this master course syllabus is to provide an outline of the contents of this course, as specified by
the faculty of Columbia College, regardless of who teaches the course, when it is taught, or where it is taught. Faculty members teaching this
course for Columbia College are expected to facilitate learning pursuant to the course learning outcomes and cover the subjects listed in the Major Topics/Skills to be Covered section.
However, instructors are also encouraged to cover additional topics of interest so long as those topics are relevant to the course's
subject. The master syllabus is, therefore, prescriptive in nature but also allows for a diversity of individual approaches to course material.