Official Course
Description: MCCCD Approval: 4-25-2006 |
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GBS220
2006 Fall - 2007 Summer II |
LEC
3.0 Credit(s) 3.0 Period(s) 3.0 Load Acad |
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Quantitative
Methods in Business |
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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. |
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Go to Competencies Go to Outline
MCCCD
Official Course Competencies: |
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GBS220 2006
Fall - 2007 Summer II |
Quantitative Methods in Business |
1.
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Identify business applications and problem situations
where quantitative methods and modeling are useful for decision making. (I) |
2.
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Model and solve business problems with matrices. (II) |
3.
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Model, solve, and interpret linear programming problems
using computer software. (III) |
4.
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Solve basic business problems using discrete and
continuous probability distributions. (IV) |
5.
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Model, solve, and interpret Program Evaluation and Review
Technique (PERT) and Critical Path Method (CPM) type problems. (V) |
6.
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Develop total cost and Economic Order Quantity (EOQ)
models for specific inventory systems. (VI) |
7.
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Use multivariable calculus to solve business problems.
(VII) |
Go to Description Go to top of
Competencies
MCCCD
Official Course Outline: |
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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 |