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Master Syllabus

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Administrative Unit: Business Administration Department
Course Prefix and Number: MGMT 430
Course Title: Management Science
Number of:
Credit Hours 3
Lecture Hours 3
Lab Hours 0
Catalog Description:

Management Science is a discipline that integrates mathematical modeling and quantitative analysis into the managerial decision-making process. The goal of the course is to provide students with a background in mathematical modeling to augment their problem-solving skills. Prerequisites: MATH 150 or MATH 170; MATH 250 or PSYC 324.

Prerequisite(s) / Corequisite(s):

MATH 150 or MATH 170; MATH 250 or PSYC 324.

Course Rotation for Day Program:

Offered Fall and Spring.

Text(s): Most current editions of the following:

An Introduction to Management Science
By Anderson, Sweeney, Williams, et. al. (Cengage Learning)
Introduction to Management Science
By Hillier (Mc Graw-Hill)
Course Learning Outcomes
  1. Demonstrate an understanding of the theory and math behind several data-driven quantitative approaches currently in use by real-world managers to make better and/or timelier decisions and predictions.
  2. Create valid data-driven predictive business models.
  3. Implement these models using current analytical tools such as Excel and Analytic Solver Platform.
  4. Evaluate the performance and usefulness of these models in business management terms.
Major Topics/Skills to be Covered:
  • Introduction to modeling and management science
  • Optimization and linear programming using Excel and Analytic Solver Platform
  • Sensitivity analysis
  • Linear programming applications
  • Integer linear programming
  • Distribution and network models
  • Simulation
  • Time Series Analysis and forecasting
  • Waiting line models
  • Project scheduling: PERT/CPM

Recommended maximum class size for this course: 20

Library Resources:

Online databases are available at http://www.ccis.edu/offices/library/index.asp. You may access them using your CougarTrack login and password when prompted.

Prepared by: Patrick Feehan Date: January 27, 2016
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.

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