Subject Description Form
Subject Code
ISE206
Subject Title
Quantitative Methods
Credit Value
3
Level
2
Pre-requisite/Corequisite/Exclusion
Nil
Objectives
This subject will provide students with
Intended Learning
Outcomes
Subject Synopsis/
Indicative Syllabus
1.
skills in the use of quantitative models to solve practical problems for
manufacturing and service industries;
2.
techniques in formulating solutions to managerial problems as well as
skills in the use of computer software to carry out management science
analysis.
Upon completion of the subject, students will be able to
a.
apply statistical methods to solve practical problems in manufacturing
and service industries;
b.
formulate managerial problems and solve the problems by mathematical
models;
c.
use spreadsheet models to perform quantitative analysis.
1.
Introduction
Quantitative analysis approach: its advantages and limitations in solving
real problems; Role of computers and spreadsheet models in quantitative
analysis
2.
Sampling Distributions and Confidence Interval Estimation
Normal distribution; Sampling distributions; Sample size determination;
Confidence interval estimation
3.
Hypothesis Testing and Linear Regression
Fundamentals of hypothesis testing - one-sample tests; Hypothesis tests
for numerical data from two or more samples; Regression and correlation:
regression models, measure of variation, and residual analysis
4.
Linear Programming
Graphical and spreadsheet models; Simplex method and sensitivity
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analysis
5.
Transportation and Assignment Models
Transportation algorithm: determination of initial and optimal solutions;
Hungarian method for assignment of problems
6.
Network Models
Fundamentals of network models; Minimal spanning tree problem;
Shortest route problem; Maximal flow problem
Teaching/Learning
Methodology
The subject is delivered through lectures and tutorial classes. The lectures
together with some tutorial classes are aligned with subject learning outcomes
1 and 2. Whereas the tutorial classes conducted in a computer room are
designed to develop students’ ability to use spreadsheet models to perform
quantitative analysis, which are aligned with subject learning outcome 3.
Assessment Methods
in Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning outcomes to
be assessed
a
b
1. Tests
28%


2. Tutorial Assignments
12%


3. Final Examination
60%


Total
c

100%
Assignments, tests, and final examination are used to assess the abilities of
students in the use of quantitative models to solve practical problems for
manufacturing and service industries, as well as the techniques in
formulating solutions to managerial problems.
In-class tutorial assignments are used to assess the abilities of students in using
spreadsheet models to carry out management science analysis.
Student Study
Effort Expected
Class contact:

Lecture
2 hours/week for 13 weeks
26 Hrs.

Tutorial
1 hours/week for 13 weeks
13 Hrs.
Other student study effort:

Revision / Tutorial Assignments
Total student study effort
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76 Hrs.
115 Hrs.
Reading List and
References
18.3.2014
1.
Levine, D M, Krehbiel, T C, and Berenson M L 2009, Business Statistics
– A First Course, 5th edn, Prentice Hall
2.
Render, B, Stair, R M, and Hanna, M E 2009, Quantitative Analysis for
Management, 10th edn, Prentice Hall
3.
Hillier F S and Hillier M S 2008, Introduction to Management Science –
A Modelling and Case Studies Approach with Spreadsheets, 3rd edn,
McGraw Hill