COLLEGE OF MANAGEMENT
UNIVERSITY OF THE PHILIPPINES IN THE VISAYAS
Iloilo City

BA/MGT 181 - Quantitative Methods
First Semester, 2006-07

FACULTY :    Prof. Pablo B. Española

COURSE DESCRIPTION

The use of  mathematical  methods  in  the  analysis  of business  problems  concerned  with  management,  production,  marketing, personnel and finance.

COURSE OBJECTIVES

This course seeks to enable the students to:

1. Develop an understanding of the theory, nature, principles and processes of quantitative methods.

2. Gain familiarity with the tools, tech­niques and methods utilized in management.

3. Develop the skills in the application of the different tools, techniques and methods of management  with  emphasis  on   the   business sector.

COURSE REQUIREMENTS

Long Exams                                                50%

Quizzes                                                       20%

Assignments                                               20%

Attendance                                                 10%

Total                                                          100%

Those with passing grade at the end of the semester will be exempted from taking the final exam. For those who have to take the final exam, the grade obtained will comprise 50% of final grade.

TEXT

Levin, Rubin, Stinson & Gardner. Quantita­tive Approaches to Management. 8th Edition.

REFERENCES

Lotfi, Vahid & C. Carl Pegels. Decision Support Systems for Operations Management and Management Science 3rd ed. Richard D. Irwin, 1996.

Hazell and Norton. Mathematical Pro­gramming for Economic Analysis in Agriculture. Macmillan.

Payne, T.A. Quantitative Techniques for Man­agement. Reston Publishing Co., Inc.

Pindyck and Rubinfeld. Econometrics Mod­els and Economic Forecasts. McGraw Hill.

Swanson, L.W.  Linear Programming: Ba­sic Theory and Application. McGraw Hill.

Turban  and  Meredith. Fundamentals of Man­agement Science.  Sinag-Tala.

METHODOLOGY

1.       Lecture-discussion

2.       Problem solving

COURSE OUTLINE

I.      INTRODUCTION (1½ hrs.)

II.      PROBABILITY CONCEPTS (4½ hrs.)

1. Basic Concepts

2. Probability Distributions

III.      FORECASTING TECHNIQUES (4½ hrs.)

1. Naive model

2. Moving average model

3. Simple exponential smoothing model

4. Time-series regression model

5. Exponential smoothing model

a)  linear trend

b)  non linear - exponential trend

c)   non linear - damped trend

IV.      DECISION MAKING (4½ hrs.)

1. Under conditions of uncertainty

2. Under conditions of risk

3. Cost-Volume-Profit Analysis

4. Replacement Analysis

5. Decision Trees and Game Theory

V.      INVENTORY MODELS (6 hrs.)

1. Order Quantity Models

2. Reordering, Backorders, Discounts, MRP

VI.      LINEAR PROGRAMMING MODELS (9 hrs.)

1. Graphic Method and Using Computer

2. Simplex Method: Maximization & Minimization

3. Transportation & Assignment Problems

4. Integer Programming

5. Branch and Bound Programming

VII.      NETWORK MODELS (7½ hrs.)

1. PERT, CPM, PERT/Cost, Program­ming with Resource Limitation

2. Maximal Flow

3. Minimal Spanning Tree

4. Shortest Route

5. Dynamic Programming

VIII.      QUEUING THEORY (4½ hrs.)

1. Characteristics of the calling popula­tion, queue, service facility

2. Elementary queuing system

3. Poisson-distributed arrivals and expo­nentially distributed service times model

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