Course Outline

Page 1 of 4

COURSE OUTLINE

Department & Faculty

/ : / Dept. of Science,
Diploma Studies Program

Subject Name & Code

/ : / Programming in Operations Research
(DDC 2313) / Semester : I

Total Lecturer Hours

Total Lab Hours

/ : / 2 hours x 14 weeks
3 hours x 14 weeks /

Academic

Year : 2005/2006

Lecturer

/ : / Puan Rosmah Ali
Room No. / : / V306G
Tel. No. / : / 03-26154655

E-mail

/ : /

Consultation hours

/ 2:00 – 4:00 pm (Wednesday)
Objectives / : / 1.  To introduce the quantitative analysis approach.
2.  To apply quantitative analysis in modeling and solving decision-making problems.
3.  To use software to aid decision-making.
Synopsis / : / This course presents the principles and techniques for solving decision-making problems in the industry using mathematical models. The techniques include decision analysis, linear programming, transportation model, assignment model, network model, and forecasting. The course emphasizes the process of model development and solution analysis.
Learning Outcomes / : /

By the end of the course, students should be able to:

Topic 1 : Introduction to Quantitative Analysis

1.  define and clarify some of the terminology used in quantitative analysis
2.  explain the stages in quantitative analysis
3.  identify the problems that can be solved using quantitative methods

Topic 2 : Decision Theory

1.  formulate a decision-making problem
2.  develop the use of probability in decision making
3.  apply the method of depicting a series of decisions and outcomes by decision trees
4.  use computer to perform quantitative analysis
Topic 3 : Linear Programming Model (LP)
1.  formulate the problems into mathematical model
2.  apply the quantitative methods (graphical method and simplex method) for maximization and minimization problems
3.  use computer to perform quantitative analysis

Topic 4 : Transportation and Assignment Model

1.  formulate the transportation and assignment problems
2.  apply the transportation simplex and Hungarian methods
3.  use computer to perform quantitative analysis

Topic 5 : Network Model

1.  define the concept of network analysis
2.  develop the network diagram
3.  perform network analysis
4.  use computer to perform quantitative analysis
Topic 6 : Forecasting
1.  identify different types of forecast
2.  measure forecast accuracy
3.  apply time-series forecasting models
Generic Skills Addressed / : / 1.  Problem Solving
2.  Communication Skills
3.  Team-working
4.  Self-Esteem
Prepared by / Certified by: Deputy Dean
(Academic)

Name

/ : / Puan Rosmah Ali / Name :

Signature

Date

/ :
: / 6 Julai 2005 / Signature :
Date :

COURSE OUTLINE

Department & Faculty

/ : / Dept. of Science,
Diploma Studies Program

Subject & Code

/ : / Programming in Operations Research
(DDC 2313) / Semester : I

Total Lecturer Hours

Total Lab Hours

/ : / 2 hours x 14 weeks
3 hours x 14 weeks /

Academic

Year : 2005/2006

Weekly Schedule

Week 1-2 / : / 1.0  Introduction to Quantitative Analysis
1.1 Problem Solving and Decision Making
1.2  Quantitative Analysis and Decision Making
1.3  The Quantitative Analysis Approach
1.4  Models of Cost, Revenue and Profit
1.5  Solving Problems Using Computer Software
Week 3-4 / : / 2.0  Problem Formulation
2.1  Decision Making without Probabilities
2.2  Decision Making with Probabilities
2.3  Decision Analysis with Sample Information
2.4  Utility and Decision Making
2.5  Solving Problems Using Computer Software
Week 5-6-7 / : / 3.0  Linear Programming Model (LP)
3.1 Introduction
3.2 Problem Formulation
3.3 Graphical Solution to LP Problem
3.4 Four Special Cases in LP
3.5 Solving Maximization Problems with Simplex Method
3.6 Solving Minimization Problems
3.7 Solving Problems Using Computer Software
Week 8 / : / Mid Semester Break
Week 9-10 / : / 4.0  Transportation and Assignment Model
4.1 Introduction
4.2 A Network Model and LP Formulation for a Transportation problem
4.3 Transportation Simplex method
4.4 A Network Model and LP Formulation for an Assignment
Problem
4.5 Hungarian Method for Solving an Assignment Problem
4.6 Solving Problems Using Computer Software
Week 11-12 / : / 5.0  Network Model
5.1 Introduction
5.2 Minimal Spanning Tree Technique
5.3 Maximal Flow Technique
5.4 Shortest Route Technique
5.5 PERT/CPM
5.6 Solving Network Models Using Computer Software
Week 13-14 / : / 6.0  Forecasting
6.1  Introduction
6.2  Type of Forecasts
6.3  Scatter Diagram
6.4  Measures of Forecasting Accuracy
6.5  Time-Series Forecasting Models

COURSE OUTLINE

Department & Faculty

/ : / Dept. of Science,
Diploma Studies Program

Subject & Code

/ : / Programming in Operations Research
(DDC 2313) / Semester : I

Total Lecturer Hours

Total Lab Hours

/ : / 2 hours x 14 weeks
3 hours x 14 weeks /

Academic

Year : 2005/2006
Teaching Methodology / : / Lecture and Discussion, Presentation and Group Assignment
Main Text / : / Render, B., M. Stair , R. & Hanna, M. E., “Quantitative Analysis for Management”, Prentice Hall Itl., 2003.
Other
References / : / 1.  Anderson, Sweeney & Williams, ”An Introduction to Management Science: Quantitative Approaches to Decision Making, South-Western, 2003.
2.  Hillier, F. S. & Lieberman, G. J., “Introduction to Operations Research”, Mc Graw-Hill, 1995.
3.  Any book on Microsoft Excel.
Assessment
(see below)

Continuous Assessment:

No

/ Item /

Number

/ % each / % total /

Dates

1 / Tests / 2 / 20 / 40
2 / Assignments / 7 / 1 / 7
3 / Solution Presentation / 1 / 3 / 3
4 / Final Exam / 1 / 50 / 50

Overall Total

/ 100