Official Course
Description: MCCCD Approval: 06/25/96 

GBS220
1996 Fall  2006 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. Course Attribute(s): General
Education Designation: Mathematics  [MA] 

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MCCCD
Official Course Competencies: 



GBS220 1996 Fall  2006 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 a twodecision variable linear programming
problem graphically, and interpret the answer. (II) 
3.

Model, solve, and interpret a linear programming problems
using computer software. (II) 
4.

Compute probabilities using rules of multiplication and
addition. (III) 
5.

Solve counting problems using permutations and
combinations. (III) 
6.

Solve problems using discrete and continuous probability
distributions. (IV) 
7.

Model, solve, and interpret Program Evaluation and Review
Technique (PERT) and Critical Path Method (CPM) type problems. (V) 
8.

Model, solve, and interpret a decision problem involving
uncertainty, using decision theory techniques. (VI) 
9.

Develop total cost and Economic Order Quantity (EOQ)
models for specific inventory systems. (VII) 
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Competencies
MCCCD
Official Course Outline: 



GBS220 1996 Fall  2006 Summer II 
Quantitative Methods in Business 
I. Importance of
Quantitative Methods in Business II. Linear Programming A. Graphical solution B. Computer solution 1. General optimization
problems 2. Transportation problems 3. Assignment problems III. Probability and
Counting Methods A. Rules of multiplication
and addition B. Bayes theorem C. Combinations and
permutations IV. Probability
Distributions A. Random variables B. Discrete random
variables C. The binomial
distribution D. Poisson distribution E. The normal probability
distribution V. PERT/CPM A. Networks B. Critical path C. Probability of
completion VI. Decision Theory A. Maximin B. Maximax C. Minimax regret D. Probabilities VII. Inventories A. Total cost model B. EOQ model 