| Official Course
  Description: MCCCD Approval: 4-25-2006 | ||
| GBS220
   2006 Fall - 2007 Summer II | LEC
   3.0 Credit(s)  3.0 Period(s)  3.0 Load  Acad | |
| Quantitative
  Methods in Business  | ||
| Business
  applications of quantitative optimization methods in operations management
  decisions.  Prerequisites: (Grade of "C" or
  better in MAT150, or MAT151, or MAT152) or equivalent, or satisfactory score
  on district placement exam.  | ||
Go to Competencies    Go to Outline
 
| MCCCD
  Official Course Competencies:  | |
|   | |
| GBS220  2006
  Fall - 2007 Summer II | Quantitative Methods in Business  | 
| 1.
   | Identify business applications and problem situations
  where quantitative methods and modeling are useful for decision making. (I)  | 
| 2.
   | Model and solve business problems with matrices. (II)  | 
| 3.
   | Model, solve, and interpret linear programming problems
  using computer software. (III)  | 
| 4.
   | Solve basic business problems using discrete and
  continuous probability distributions. (IV)  | 
| 5.
   | Model, solve, and interpret Program Evaluation and Review
  Technique (PERT) and Critical Path Method (CPM) type problems. (V)  | 
| 6.
   | Develop total cost and Economic Order Quantity (EOQ)
  models for specific inventory systems. (VI)  | 
| 7.
   | Use multivariable calculus to solve business problems.
  (VII)  | 
Go to Description    Go to top of
Competencies
 
| MCCCD
  Official Course Outline:  | |
|   | |
| GBS220  2006
  Fall - 2007 Summer II | Quantitative Methods in Business  | 
| I. Importance of
  Quantitative Methods in Business  II. Matrices  A. Arithmetic and Algebra
  of Matrices  B. Matrix Based Concepts  III. Linear Programming  A. Computer Solution  1. General Optimization
  Problems  2. Transportation Problems  3. Assignment Problems  B. Sensitivity Analysis  IV. Probability
  Distributions  A. Random Variables  B. Discrete Random
  Variables  C. The Normal Probability
  Distribution  V. Program Evaluation and
  Review Technique/Critical Path Method (PERT/CPM)  A. Networks  B. Critical Path  C. Probability of
  Completion  VI. Inventories  A. Total Cost Model  B. Economic Order Quantity
  (EOQ) Model  C. Deterministic and
  Probabilistic Models  VII. Multivariable Calculus
   A. Multivariable
  Differentiation  B. Surfaces and Contour
  Plots  C. Extreme Points  D. Extreme Value Theorem  E. Method of Lagrange
  Multipliers  |