Sarjana Muda Sains (Statistik Industri) dengan Kepujian Bachelor of Science (Industrial Statistics) with Honours

tripastroturfΤεχνίτη Νοημοσύνη και Ρομποτική

7 Νοε 2013 (πριν από 3 χρόνια και 5 μήνες)

156 εμφανίσεις


1


S
arjana Muda

Sains

(S
tatistik Industri
)

dengan Kepujian

Bachelor of Science (Industrial Statistics) with Honours


Curriculum Structure According to Component

CATEGORY

CODE

COURSE

CREDIT

UNIVERSITY
COMPULSORY COURSE

UWB10102

English For Academic Purposes


2

UWA10102

Islamic Studies

2

UWA10202

Moral Studies

UWS10103

Nationhood and Current Development of Malaysia

3

UWB1xx02

Foreign Language

2

UQX1xx01

Co
-
Curriculum I

1

UWB10202

Effective Communication

2

UWA10302

TITAS

2

UWS10202

Ethnic Rela
tions

2

UQX1xx01

Co
-
Curriculum II

1

UWB10302

Technical Writing

2

BWD30802

Creativity and Innovation

2

Total

21














CORE COURSE

BWB21602

Project Management

2

BWA10403

Linear Algebra

3

BWA10303

Calculus I

3

BWA10603

Calculus II

3

BW
B10203

C++ Programming

3

BWB10103

Statistics & Probability I

3

BWB10303

Statistics & Probability II

3

BPA2102

Entrepreneurship

2

BWB20602

Financial Statistics

2

BWB10403

Principle to Management

2

BWB20903

Business Statistics

3

BWB21002

Indus
trial Management

2

BWB32104

Industrial Training

4

BWB20503

Statistical Inference

3

BWB20703

Statistical Packages

3

BWB20803

Applied Regression Analysis

3

BWB31103

Survey and Sampling Methods

3

BWB31203

Industrial Forecasting

3

BWB31303

Stat
istical Modeling

3

BWB21503

Statistics for Decision Making

3

BWB31403

Industrial Quality Control

3

BWB31703

Categorical Data Analysis

3

BWB31803

Design and Analysis of Experiment

3

BWB31903

Statistics for Quality Improvement

3


2



BWB22303

Appli
ed Stochastics Models

3

BWB32003

Industrial Reliability

3

BWB32203

Optimization Operational Research

3

BWB32402

Final Year Project I

2

BWB32503

Statistical Consultation

3

BWB42604

Final Year Project II

4

BWB23302

Special Topics and Current Issu
es

2

Total

88

DATA MINING


BWB43403

Advanced Data Mining

3

BWB43603

Business Data Processing

3

BWB43303

Introduction to Data Mining

3

BWB43503

Network And Data Communication

3

BWB43703

Performance Modeling Of Communication Network

3

Total

15

MANAGEMENT AND
LOGISTICS


BWB44203

Industrial Production Costing

3

BWB44103

Logistics Management

3

BWB44003

Pemasaran Strategik

3

BWB43903

Pengurusan Risiko

3

BWB43803

Strategic Management

3

Total

15

MEDICAL STATISTICS

BWB43103

Demoghrapy Anal
ysis

3

BWB43003

Epidemiology

3

BWB42803

Longitudinal Data Analysis

3

BWB43203

Medical Statistics

3

BWB42703

Statistical Modeling For Biology

3

BWB42903

Survival Analysis

3

Total

15



3



COURSE COMPONENT

CREDIT

PERCENTAGE (%)

University Compuls
ary

21

16.94

Mathematics

9

7.26

Statistical Computing

6

4.84

Statistical Theory

9

7.26

Management

8

6.45

Data Analysis

52

41.94

Industrial Training

4

3.23

Total

124

100


4


YEAR 1
,
SEMESTER 1


BWA10303:
Linear Algebra


Synopsis

Linear Algebra focuses

on Matrices and Determinant, Linear system, Vector Spaces, Linear Transformation,
Eigenvalues and Eigenvectors.


References

1.

Bernard Kolman. (1997).
Introductory Linear Algebra with Applications
. 6th Ed. USA: Prentice
Hall.

2.

Leon, Steven J. (2006).
Linear A
lgebra with Applications
. 7
th

Ed. Upper Saddle River, NJ: Pearson.

3.

Strang, Gilbert. (2006).
Linear Algebra and I
ts Applications
. 4
th

Ed. CA: Thomson.

4.

Seymour Lipschutz, Marc Lars Lipson.
(2001).
Linear Algebra
. 3
rd

Ed. New York: McGraw Hill.

5.

Anton, H. (2
01
0).
Elementary Linear Algebra
. 10
th

Ed.
New York:
John Wiley

& Sons
.




BWA10203:
Calculus I


Synopsis

Calculus I focuses on
Limits and Continuity,
Differentiation,
Applications of differentiation,
L’Hopital’s
Rule, Integration,
Applications of integrat
ion,
Further Differentiation and Integration.


References

1.

Abd Wahid Md. Raji, Hamisan Rahmat, Ismail Kamis, Mohd Nor Mo
hamad, Ong Chee Tiong.
(2003).
Calculus for S
cience and Engineering Students
.

Malaysia: UTM Publication.

2.

Anton, H., Bivens, I., Davis, S
. (2002).
Calculus
. 7
th

Ed. USA: John Wiley & Sons, Inc.

3.

Smith, Minton (2006).
Calculus: Concepts & Connections
. 1
st

Ed. New York: McGraw Hill.

4.

Larson, R. E., Hostetler
, R. P., Edward, B. H. (1998).
Calculus with Analytic Geometry
. 6
th

Ed. USA:
Houghton M
ifflin Company.

5.

Thomas,

G. B., Finney, R. L. (1996).
Calculus and Analytic Geometry
. 9th Ed. USA: Addison
-
Wesley Publishing Company.









5


BWB10103:

Statistics & Probability I


Synopsis


Statistics and Probability I focus
es

on The Nature of Statistics, F
requency Distributions and Graphs, Data
Description, Index Number, Introduction to Probability and Probability Distributions.


References

1.

Panel
Statistics
.

(
2011
)
.

Statistics Management
. 1
st

Edition.
Malaysia:
Fakulti Sains, Sastera &
Warisan, UTHM.

2.

Menden
hall, William Beaver, Robert J. Beaver, Barbara M
.
(
2006
)
.

Introduction to Probability &
Statistics
.

12
th

Ed.
Belmont, CA:

Thomson
.

3.

Bluman, Allan G. (2012)
.

Elementary Statistics, A
S
tep
B
y
S
tep Approach
.
8
th

Ed. New York:
Mac

Graw
Hill International Edit
ion
.

4.

Mario F. Triola.
(
201
1
)
.

Essential of Statistics
. 4
th

Ed
.
Boston, MA:
Pearson
Education.

5.

Tan, Choo Kim
.

(2007)
.

Elementary Probability and S
tatistics
.
2
nd

Ed.

Petaling Jaya:

Prentice Hall.




YEAR 1
,
SEMESTER 2


BWA10503:
Calculus
II


Synopsis

Calcul
us II focuses on Sequence and series, Functions of Several Variables and Multiple Integrations.


References

1.

Asmar, N. H. (2002)
.

Applied Complex Analysis with Partial Differential Equations
.

New Jersey:

Prentice Hall.

2.

Brown, James Ward
.

(2009)
.
Complex
V
ar
iables and
A
pplications
.

8
th

Ed.

The University of California:

McGraw
-
Hill.

3.

Goodrich, M. T., Tamassia, R. and Mount D. M. (2004).
Data Structures and Algorithm in C++
.
USA:
John Wiley & Sons Inc.

4.

Harold Cohen
.


(2007)
.

Complex
Analysis: With Applications
In Science And Engineering
.

2
nd

Ed.

New
York: Springer.

5.

Mathews, John H. (2006)
.

Complex
A
nalysis for
M
athematics and
E
ngineering
.

5
th

Ed.

MA: Jones and
Bartlett Publisher.






6

BWB10303:

Statistics & Probability II


Synopsis


Statistics and Probability II

focuses

on the

Special Probability Distribution, Special Probability Densities,
Estimation and Hypothesis Testing.


References

1.

Panel Statistics. (2011).
Statistics Management
. 1
st

Ed.
Malaysia: Fakulti Sains, Sastera & Warisan,
UTHM.

2.

Mendenhall, William B
eaver, Robert J. Beaver, Barbara M
.
(2006).

Introduction to Probability &
Statistics
. 12
th

Ed.
Belmont, CA:

Thomson.

3.

Bluman, Allan G. (2012).
Elementary Statistics, A Step By Step Approach
. 8
th

Ed. New York: Mac Graw
Hill International Edition,.

4.

Mario F.
Triola. (2011).
Essential of Statistics
. 4
th

Ed. Boston, MA: Pearson Education.

5.

Tan, Choo Kim. (2007).
Elementary Probability and Statistics
. 2
nd

Ed. Petaling Jaya:

Prentice Hall.




BWB10203:
C++ Programming


Synopsis


C++ Programming
focuses on the
Intro
duction to Visual C, Input/ output, variable types, arithmetic and
relational operations
,
Control structures and logical operators, Functions and recursion, Arrays, Pointers
and strings
,
File processing

and
Templates.


References

1.

Deitel and Deitel
.

(2012)
.

C++ How to Program
.

8
th

E
d.
New Jersey:
Pearson Education, Inc., Upper
Saddle River
:

Prentice Hall.

2.

Ivor Horton
.

(2008)
.

Beginning Visual C++ 2008
.
Indianapolis, Indiana: Wiley Publishing, Inc.

3.

Michael Smith
.

(2000).
Object
-
Oriented Software in ANSI C++
.

2
nd

Ed
.
(UK) Limited: McGraw
-
Hill
International.

4.

Bronson, Gary J. (2006)
.

First
B
ook of C++:
F
rom
H
ere to
T
here
.

3
rd

Ed.

Boston
:

MA:

Thomson.

5.

Hyman, Michael I., Arnson B.
(2002)
.
Visual C++ 6 for
D
ummies
.
New
York:

Hungry Minds.










7

BWB10403: Principl
e of Management


Synopsis


Principle of Management focuses

on the Introduction
o
f

organizations and management, Foundations of
planning, Planning tolls and techniques,
Managing change and innovation in addition to m
otivating
employees and Foundations of co
ntrol.


References

1.


Jones,

Gareth R., George, Jennifer M. (2011).
Essentials of Contemporary Management
.

4
th

Ed
.

Boston
:

McGraw
-
Hill.

2.

Charles W. L. Hill
,
Steven Mc Shane
.

(2008).
Principle of Management
.

Mc
Graw Hill.

3.

Stephen P. Robbins and Mary Coulter
.

(2007).


Management
.

9
th

Ed
.
Upper Saddle River, NJ: Pearson.

4.

Carpenter, Mason A. Sanders, Gerard W
m.
(2009).
Strategic
M
anagement
: A Dynamic
Perspective:

Concepts
.
2
nd

Ed
.
Upper Saddle River,
NJ:

Pearson
.

5.

Morden, Tony.
(2004).
Principles
of

Management
Innovative
Business Textbooks
. 2
nd

Ed.
Burlington,
VT: Ashgate
.





YEAR 2
,
SEMESTER 1


BWB20503:
Stat
istical Inference


Synopsis


Introduction To Statistical Inference

focuses

on fulfilling students’ academic requirements such as

Transformation and Expectation, Sampling distributions, Point Estimation, Interval Estimation and
Hypothesis testing.


Referenc
es

1.

D.R.Cox. (2006).
Principles of Statistical Inference
.

Cambridge University Press
.

2.

Vijay K. Rohatgi. (2003).
Statistical Inference
.

Courier Dover Publications
.

3.

George G. Roussas. (2007).

An Introduction to Probability and Statistical
Inferenc
e.

Academic
Press.

4.

George Casella

&
Roge
r L. Berger
. (2002).
Statistical Inference
.

2
nd

Ed
.

Duxbury Advanced Series.

5.

Paul H. Garthwait
e, I. T. Jolliffe, Byron Jones. (2002).

Statistical Inference
.

2
nd

Ed
.

Ox
f
ord Science
Publicatio
ns.







8

BWB20602:
Financial Statistics


Synopsis


Financial Sta
tistics

focuses

on fulfilling students’ academic requirements such as

Returns, Portfolio
Theory, The Capital Asset Pricing Model. Options Pricing: Fixed Income Securities and Value
-
at
-
Risk.


References

1.

David Rupert
.

(2006).
Statistics and Finance: An Intro
duction
.

1
st

Ed
.
US:
Springer.

2.

Jürgen Franke, Wolfgang Härdle & Christian M. Hafner
.

(2008).
Statistics of Financial Markets: An
Introduction
.
2
nd

Ed
.

Berlin:

Springer
.

3.

Robert James Elliott, P. E. Kopp
.

(2005).
Mathematics of Financial Markets
.

2
nd

Ed.
New

York:

Spring
e
r.

4.

Jakša Cvitani
ć
, Fernando Zapatero
.

(2004).
Introduction to the Economics and Mathematics of
Financial Markets: Solution Manual
.
USA:

MIT Press
.

5.

Cheng F. Lee, John C. Lee, Alice C. Lee. (2010).

Handbook of Quantitative Finance and Risk
Management
.

New York: Springer




BWB20703:
Statistical Packages


Synopsis


Statistical Packages focuses

on fulfilling students’ academic requirements such as

the introduction to
statistical techniques and methods of data analysis. The important topics including data description,
graphical

techniques, exploratory data analyses, random variation and sampling, the analysis of variance,
linear regression and analysis of discrete data.



References

1.

Andy Fie
ld
,

Jeremy Miles
. (2010).
Discovering Statistics Using SAS
. Los Angeles:

SAGE.

2.

Elliot T. Berkman
,

Steven P. Reise
. (2011).
A Conceptual Guide to Statistics Using SPSS
.

Los Angeles:

SAGE.

3.

Andreas Krause
,

Melvin Olson
. (2002).
The
B
asics of
S
-
Plus,
Statistics and
C
omputing
.

3
rd

Ed
.

New
York
:

Springer.

4.

Lesik, Sally A. (2010).
Applied
S
tatistical
I
nference with

MINITAB
.
Boca Raton, FL: Taylor & Francis.

5.

Ken Kleinman, Nick Horton. (2011).
Using SAS for Data Management, Statistical Analysis, and
Graphics.
Boca Raton, FL: Taylor & Francis.







9

BWB21602: Project Management


Synopsis


Project Management focuses on
Introduction to Project Management
,
Introduction to Project Management
Software,
Needs

and Solutions
,
Project Communication and Documentation
,
Schedule Control

and
Resource
Consideration
.


References

1.

Gido, Jack & James P. Clements.
(2009)
.

Successful Proje
ct Management
. 4
th

Ed
.
Mason: Cengage.

2.

James P. Lewis.
(2007)
.

Fundamentals of Project Management
.


3
rd

Ed
.

USA
:
American Management
Association.

3.

Lutchman, Chitram
.

(2011).
Project
Execution:

A Practical Approach
to

Industrial And Commercial
Project Manage
ment
.

Boca Raton: CRC.

4.

Kerzner, Harold.

(2010).
Project
Management Best
Practices:

Achieving Global Excellence
. 2
nd

Ed
.

New York: John Wiley.

5.

Mantel, Samuel J.

(2008)
.

Project
Management
in

Practice
. 3
rd

Ed. Hoboken, NJ: John Wiley.




BWB21103: Survey and

Sampling Methods


Synopsis


Design and Analysis of Survey

focus
es

on

Introduction, Sampling Distributions, Simple random sampling,

Systematic Sampling, Stratified Random Sampling and Cluster Sampling
.


References

1.

Paul S. Levy and Stanley Lemeshow.
(
2008
).

Sampling of Population Method and Application.

T
he
University of
Michigan
:

Wiley.

2.

Richard L. Scheaffer, William Mendenhall III and R. Lyman Ott.
(
2006
)
.
Elementary Survey Sampling.

Belmont, CA
:

Thomson
.

3.

Sharon L. Lohr.
(
1999
)
.
Sampling: Design and Analysi
s.
Pacific Grove: Duxbury Press.

4.

William G. Cochran.
(
1977
)
.
Sampling Techniques.

3
rd

Ed.
The University of California
:

Wiley
.

5.

Rea, Louis M. and Parker, Richard A. (2005)
.

Designing
and

Conducting Survey Research: A
Comprehensive Guide.

3
rd

Ed
.

San Francis
co: Jossey
-
Bass.









10

YEAR 2
,
SEMESTER 2


UWB10602:
Creativity & Innovation


Synopsis

This course focuses on developing a creative person who will eventually think strategically, creatively
and critically. The knowledge and skills acquired throughout t
he course will later be applied by the
students in solving problems and making decisions in the future. In this course, students will be
exposed to various creativity and problem solving techniques. Some of the skills to be covered
throughout the course
are problem solving, techniques in creativity and techniques in innovation.


References

1.

Bernacki, E.
(
2002
)
.
Wow! That’s a Great Idea!.
Singapore: Prentice Hall.

2.

De Bono, E. (2003).
Serious Creativity 1: Lateral Thinking Tools, Techniques and Application
.
Singapore
:

Allscript

Books.

3.

De Bono, E. (2003).
Serious Creativity
2:

Lateral Thinking Tools, Techniques and Application
.
Singapore: Allscript Books.

4.

Ceserani, J. & Greatwood, P.
(
1995
). Innovation

and Creativity
. London: Kogan Page.

5.

Ceserani, J. & Grea
twood, P.
(
2001
). Innovation

and Creativity
. New Delhi: Creast Publishing House.

.



BWB20803:
Applied Regression Análysis


Synopsis


This course covers simple linear regression, multiple regression, analysis of variance approach to
regression, diagnostics

and remedial measures, qualitative independent variables and model selection.



References

1.

Kutner, Nachtsheim, Neter
.

(2004).
Applied Linear Regression Models
.

4
th

Ed
.
Boston
:
Mc Graw Hill.

2.

D. Montgomery, E. Peck and G. Vining
.

(2006).
Introduction to Lin
ear Regression Analysis
.

4
th

Ed
.

Hoboken, NJ: John Wiley.

3.

W. Medenhall and T. Sincich.

(2003).
A Second Course In Statistics: Regression Analysis
.
6
th

Edition.
Prentice Hall.

4.

Fox, John
.

(2008).
Applied Regression Analysis and Generalized Linear Models
. 2
n
d

Edition.
London
:
Sage Publications.

5.

Philip Bobko.

(2001)
. Correlation

and Regression: Applications for Industrial Organizational
Psychology and Management.
Thousand Oaks, CA
:

Sage Publications
.




11

BWB20903:
Business Statistics


Synopsis


Business Statist
ics focuses

on Data and Statistics, Descriptive Statistics, Tabular and Graphical Method,
Descriptive Statistics, Numerical Methods, Introduction to Probability, Discrete Probability Distribution,
Continuous Probability Distribution, Sampling and Sampling
Distributions, Estimation, Hypothesis Testing
and Simple Linear Regression.


References

1.

Albert C. Ovedovitz
.
(
2001
)
.
Business Statistics
in

Brief
.
Jamaica, New York:
Thomson Learning.

2.

Allen L.Webster.
(
1998
)
.
Applied Statistics for Business and Economics:
An Essentials
.

3
rd

Ed.
McGraw
-
Hill.

3.

James T. McClave, P. George Benson & Terry Sincich.
(
2008
)
.
Statistics f
or Business

and Economic.
10
th

Ed
.

Upper Saddle, NJ: Pearson
.

4.

Bruce Bowerman,
Murphree, Emily S

& Richard T.O’Connell.
(
2008
)
.
Business Statistics i
n Practice.

New York: McGraw
-
Hill.

5.

Mark L. Berenson
. (
2007
).

Basic
Business Statistics:

Concepts
and

Applications.

Frenchs Forest, NSW:
Pearson Education Aus
tralia.




BWB21002: Industrial Management


Synopsis


Industrial Management focuses

on Organization and inter
-
organizational relationship, Factors influencing
people and enterprise behavior in the context of the work place, Overview of business and the var
ious
functional aspects of the firm, Demonstrating an understanding of choosing the proper business form,
System of production, Production flow chart for the production of one product and Research and
development of a product.


References

1.

Jones, George, H
ill.

(2011).

Essentials of Contemporary Manageme
nt
.

4
th

Ed. Boston
: McGraw
-
Hill.

2.

Stephen P. Robbins and Mary Coulter
.

(2007).
Management,

9
th

Ed
.
Upper Saddle River, NJ: Pearson.

3.

Ma, Zongmin. (2006).

Database
Modeling For Industrial Data
Management:

Emergi
ng Technologies
And Applications,
Hershey
.
PA: Idea Group.

4.

Garvin, David A. (2002).
General
Management: Processes
and

Action
.
Boston: McGraw
-
Hill.

5.

Philip Bobko. (2001)
. Correlation and Regression: Applications for Industrial Organizational
Psychology and Ma
nagement.
Thousand Oaks, CA
:

Sage Publications.





12

BWB22303:
Applied Stochastic Model


Synopsis


The course starts with a review of probability theory, random variables and conditioning. We focus mainly
on the following: Markov Chains, Exponential Distribu
tion and Poisson Process, Continuous


Time
Markov Chains, and Queuing theory. And depending on the availability of time, we may discuss any or all
of renewal theory, reliability and Brownian motion.


References

1.

Brzezniak, Zdzislaw and Zastawniak, Tomasz
.

(2005
)
.

Basic
Stochastic Processes
. 7
th

Ed. London
:
Springer
.

2.

Grimmett, Geoffrey and Stirzaker, David
. (2001).
Probability
and

Random Processes
.
3
rd

Ed
.
United
States
:
Oxford University Press
.

3.

Grimmett, Geoffrey and Stirzaker, David
. (2001).
One
Thousand
Exercises In
Probability.
2
nd

E
d.
United States
:
Oxford

University Press
.

4.

James D. Hamilton. (1994).
Time Series Analysis
.
USA
:
Princeton Univ
ersity

Pr
ess
.

5.

A.J. Chorin and O.H. Hald. (2006).
Stochastic
Tools
in

Mathematics
and

Science
, Volume 1
of

Surveys
an
d

Tutorials
in

the

Applied Mathematical Sciences.
New York:
Springer
.




BWB21503:
Statistics for Decision Making


Synopsis


Statistics for Decision Making focuses on Heuristics and Mental Models, Rationality and Probability in
decision making, Conditional

Probability and Bayesian updating, Decision Making Tools, Decision Trees
and Real Options, Heuristics Representative, Heuristics, Available and Anchoring, Social Heuristics,
Overconfidence and Hindsight Bias, Feedback and Mental Accounting, Prospect Theor
y and Managerial
Risk Taking and Group Decision Making:


References

1.

Bazerman, M.H
. (2008
).
Judgment in Managerial Decision Making.
7
th

Ed
.
Indiana University
:
John
Wiley & Sons.

2.

Henry, J.

(2001).
Creativity & Perception in Managemen
t,
London:
Sage Publica
tions
.

3.

Gretchen B. Chapman, Frank A. Sonnenberg
.
(2003).
Decision Making in Health Care: Theory,
Psychology, and Applications
.

USA
:
Cambridge University Press
.


4.

David F. Groebner
. (2008).
Business Statistics: A Decision Making Approach
.
7
th

Ed
.

Upper Saddle
River, NJ
:

Pearson
.

5.

Ken Black
. (2008).
Business Statistics: Contemporary Decision Making
.
5
th

E
d.

Hoboken
, NJ
:
John
Wiley
.




13

BPA2102:
Keusahawanan


Synopsis

Kursus ini mengandungi Pengenalan kepada Usahawan dan Keusahawanan, Bentuk, Peraturan dan
kemudahan sokongan perniagaan, Pengurusan Perniagaan kecil dan sederhana, Pembinaan Rancangan
perniagaan, Penguru
san Operasi Syarikat secara Usahasama dan Pengambilalihan syarikat, Kajian
Perniagaan Francais di Malaysia dan Isu
-
Isu dalam keusahawanan.


References

1.

MEDEC
.

(2001).
Keusahawanan
.

Malaysia
:
MEDEC, UITM
.

2.

Robert

D.H. (2002)
.

Entrepreneurship
.

USA: Prentice
Hall.

3.

Lavern S. U. (1999)
.

Small Business Entrepreneu
r
ship
.

New Jersey, USA:
Prentice Hall
.

4.

Noraini Ibrahim
.

(2000)
.

Industri Francais dan Pembangunan
.

Kuala Lumpur:
Penerbit UM.





YEAR 3
, SEMESTER 1


BWB31203:
Industrial Forecasting

Synopsis



This cour
se covers Time Series data, with an emphasis on computer based analysis and reporting the
results of analyses. Topics studied include

understanding time series, univariate modelling techniques,
advance regression methods using time series data, stochastic
time series model, box
-
jenkins
methodology, arima modelling using seasonal data and measuring model’s performance.


References

1.

Mohd Alias Lazim.
(
2001
)
. Introductory Business Forecasting: A Practical Approach
.

Malaysia
:
U
nivision Press Sdn.Bhd.

2.

Bowerman,
B.C and O’Connell, R.T.
(
1993
)
.
Forecasting and Time Series: An Applied Approach
.

The
University of Michigan
:
Duxbury

Press
.

3.

Makridakis, S., Wheelwright, S.C. and Hyndman, R.J.
(
1998
)
.
Forecasting, Methods and Application
,
3
rd

Ed.

New York
:
John Wiley
& Sons, Inc.

4.

Pindyck, Robert, S. and Rubinfled, Daniel, L.
(
1998
)
.
Econometric Models & Economic Forecasts
. 4
th

Ed.

The University of California
:
Irwin,
McGraw
-
Hill
.

5.

Christopher Chatfield
. (2001
).
Time
-
series forecasting
.

UK
:

Chapman

& Hall
.






14

BWB31303:
Statistical Modeling


Synopsis


Statistical Modeling focuses on Dealing with data, Linear Modeling, Generalized Linear Model
, Categorical
data, Markov Chains, Bayesian Networks and Survival models.


References

1.

David Freedman
. (2005).

Statistical Models: Theory and Practice
.

USA
:
Cambridge Univ
ersity

Pr
ess
.

2.

Hutcheson, Graeme D. & Moutinho, Luiz
. (2008).

Statistical Modeling for
Management
.

London
:
Sage
Publication

Ltd.

3.

Franklin A.
Graybill
. (2000).
Theory and Application of the Linear Model
.

1
st

Ed.
The University of
California
:
Duxbury Press.

4.

Sheldon M. Ross
. (2007)
.

Introduction to Probability Models
.

9
th

Ed.
USA
:
Academic Pres
s
.

5.

William Feller
. (1968).
An Introduction to Probability Theory and Its Applications
.
3
rd

Ed
.

New York
:
John
Wiley
.





BWB31403: Industrial Quality Control


Synopsis


Industrial Quality Control

focuses on

Introduction to quality control and techniques i
n the industry,
Management’s Problems and Solutions,
Introduction to Variation and Statistics, Introduction to Tables,
Charts and Graphs and Normal Probability Distribution.


References

1.

Lawrence S. Aft
.

(2005).
Fundamentals of Industrial Quality Control.
USA
:
Saint Lucie Press
.

2.

M. Jeya Chandra
.
(2001).


Statistical Quality Control
.

Boca Raton:

FL:

CRC Press
.


3.

Pond, Robert J. (1994).
Fundamentals o
f Statistical Quality Control
.

New York: Merrill.


4.

Eugene Grant
,
Richard Leavenworth
.

(1996
).
Statistical Quality Control.
7
th

Ed.

New York
:
Mc
Graw
-
Hill.

5.

Douglas C. Montgomery
.
(2009
).

Introduction to Statistical Quality Control
.
6
th

Ed.
Hoboken, NJ
:
John
Wiley.










15

BWB32503:
Statistical Consultation


Synopsis


The course provides an overview of practically useful statistical methods: met
hods for statistical planning
for explorative data analysis and for statistical modeling and statistical inference. It also provides hands
-
on training in problem formulation, problem solving, communication and report writing real statistical
consulting.


R
eferences

1.

Janice Derr
.

(2000).
Statistical
C
onsulting: A
Guide to Effective Communication
.
Singapore:

Thomson
Learning
.

2.

Javier Cabera & Andrew McDougall
.

(2002).
Statistical C
onsulting
.
New York: Springer
-
Verlag.

3.

James R. Boen & Douglas A. Zahn
.

(1982).
Th
e
Human Side Of Statistical Consulting
.

Belmont, CA:
Lifetime Learning Publications.

4.

Boen, J. R. and D. A. Zahn.
(
1982
)
.
The Ideal Consultant. In
The Human Side of Statistical Consulting.

The University of Michigan:
Lifetime Learning Publications.

5.

D. J. Hand
,

B. S. Everitt
. (2007).
The Statistical Consultant in Action.
USA:

Cambridge University
Press.




B
WB31903: Statistics For Quality Improvement


Synopsis


Statistics for Quality Improvement focuses on Introduction, Statistical Process Control, Control Charts for
Variabl
es, Control Charts for Attributes, Process Capability Analysis and Acceptance Sampling.


References

1.

Bovas Abraham, N. Unnikrishnan Nair
. (1998).
Quality
Improvement Through Statistical Methods
.
USA
:
Birkhäuser.

2.

John Lawson
,
John Erjavec
. (2001).
Modern
Statistics
for

Engineering And Quality Improvement.

Pacific Grove, CA
:

Thomson

Learning.

3.

Melissa G. Hartman
. (2002).
Fundamental Concepts of Quality I
mprovement
.

USA:

American Society
for Qualit
y
.

4.

Karen Parsley, Philomena Corrigan
. (1999).
Quality
Improvement in Healthcare: Putting Evidence
into Practice.

2
nd

Ed. UK:
Nelson

Thornes.

5.

Milton J. Kowalewski
. (1994).
Quality
and Statistics: Total Quality Management
.

Philadelphia:
ASTM
International.





16


BWB
31703
:
Categorical Data Analysis


Synopsis


This course covers the d
escription and inference for binomial and multinomial va
riables using
proportions and odds ratio, multi
-
way contingency tables, generalized linear models, logistic regression
for binary responses, models for multiple responses categories and loglinear models. Computations are
illustrated using SAS statistical s
oftware
.


References

1.

Agresti, A. (2002).
Categorical Data Analysis
.
2
nd

Ed.

Canada: John Willey and Sons
.

2.

Agresti, A. (1996
).
An Introduction to Categorical Data Analysis.
2
nd

Ed.
New York
: John Wiley &
Sons
.

3.

Rudas, T. (1998).
Odds Ratios in the Analysis o
f Contingency Tables
. Thousand Oaks: Sage.

4.

Llyod, C.J. (2000).
Statistical Analysis of Categorical Data
. New York: John Wiley & Sons
.


5.

Allison, P.D (1999
).
Logistic Regression Using the SAS System: Theory and Applications
. USA: SAS
Press
.



YEAR 3
,
SEMESTE
R 2


BWB
31803
:
Design and Analysis of Experiment


Synopsis


Materials to be covered
in this course
are simple experiments and experiments with a single factor,
randomized blocks, latin squares, balanced incomplete block designs, factorial designs, the 2
k

f
actorial
design, blocking and confounding, experiment with random factors, nested and split
-
plot design.


References

1.

Montgomery, D.C.

(
2009
)
.
Design and Analysis of Experiments
.
7
th Ed.

Hoboken, NJ:
John Wiley &
Sons, Inc.

2.

Ott, R. Lyman and Longnecker, Mic
heal
.

(
2010
)
.
An Introduction to Statistical Methods and Data
Analysis
.
Belmont, CA:

Brook/Cole Cengage Learning
.

3.

Hinkelmann, K and Kempthorne, O.
(
2005
)
.

Design and Analysis of Experiments
.

Hoboken, NJ:
John
Wiley & Sons, Inc.

4.

Wu, C.F., Jeff and Michael H
amada.
(
2000
)
.
Experiments: Planning, Analysis, and Parameter Design
Optimization
.
New York:

John Wiley & Sons, Inc.

5.

Cobb, George W. (2008).
Introduction to Design and Analysis of Experiments
.
Hoboken, NJ: Wiley.





17

BWB
32003
:
Industrial Reliability


Synops
is


Industrial Reliability focus
es

on
Statistical Thinking in Reliability,
Nonparametric Estimation, Other
Parametric Distribution,
Goodness of Fit Testing, Physical Acceleration and Burn
-
In Models,
Bayesian
Methods for Reliability Data and Case Studies an
d Further Applications.


References

1.

Blischke
,

W. R.
&

Murthy
D
. N. P
.

(2000).

Reliability:
Modelling
, Prediction, and Optimization.
New
York:
John Wiley & Sons, Inc.

2.

J. I. Ansell
,

M. J. Phillips
. (1994).

Practical
Methods for Reliability Data Analysis.

Clarendon
:
Oxford
P
ublications
.

3.

Paul A. Tobias
,

David C. Trindade
. (1995).

Applied
R
eliability
.

2
nd

Ed.
Florida:

Chapman and Hall
.

4.

Marvin Rausand
,

Arnljot Hyland
. (
2004
)
.

System Reliability The
ory: M
odels and
S
tatistical
M
ethods
.

2
nd

Ed.

New Jersey
: John Wiley.

5.

Pham, Hoang. (
2006
)
.
Reliability
Modelling, Analysis and Optimization.
Singapore
: W
orld
S
cientific.




BWB32203:
Optimization Operations Research


Synopsis


This course will provide an u
nderstanding of history and latest development of Operations Research (OR)
tools and models. The students will be exposed to the process of system approach to design and
development of OR models. The students will also be exposed to the formulation of requ
irements to data
collection and software for forecasting, optimization and simulation of business processes. The course will
focus on the use of tools and the development of models from case studies.


References

1.

Frederick

Hillier S. and Lieberman, Gerald
J. (2010
).
Introd
uction to Operations Research
.

9
th

Ed.
Dubuque: McGraw
-
Hill
.

2.

Robert J. Vanderbei. (2008).
Linear Programming: Foundations and Extensions. USA:

Springer.

3.

H.A. Taha. (2007).

Operations Research
-

An Introduction
.
8
th

Ed.

New Jersey: Prentic
e Hall
.

4.

Sharma, S. C.
(
2006
)
.
Introductory Operation R
esearch
. New Delhi:

Discovery Publishing House
.


5.

Ciriani, Tito A.
(
1999
)
.
Operational
Research in I
ndustry.

West Lafayette: Ichor Business Books
.








18

BWB32402: Final Year Project I


Synopsis

This cour
se trains the student
s

on how to write a research proposal especially in statistics area.

In the
early stage, student
s

and the supervisor will have a meeting on how to start the research project.

The
discussion will focus on identifying the research prob
lem, objective of the study and research
methodology.

Supervisor as a mentor
will give their advice on the research project through meeting and
discussion.

Writing out

the proposal is based on
the
format
given
by
the
faculty.


Student
s

will present
their

proposal
at
end of this course.



References

1.

Chuan Yan Piaw.
(
2006).
Kaedah Penyelidikan
.
Malaysia:

McGraw Hill.

2.

Sulaiman Masri.
(2003).
Kaedah Penyelidikan dan Panduan:
P
enulisan (
Esei, Proposal, T
esis).

Kuala
Lumpur
:
Utusan Publication Distribution.

3.

Yog
esh Kumar Singh.
(2005).
Research M
ethodology
.
New Delhi:

APH Publishing.

4.

Ranjit Kumar.
(2010
).
Research Methodology
: A Step
-
By
-
Step Guide For Beginners.
3
rd

Ed
.
London:

Sage Publication.

5.

John Keenan Taylor
,

Cheryl Cihon
.

(2004). Statistical Techniques for Data Anal
ysis. 2
nd

Ed.
UK:

Chapman & Hall/CRC.




YEAR 3
,
SEMESTER 3


BWB32104:
Industrial Training


Synopsis

During this course, s
tudents are required to undergo Industrial Training (LI) in selected local industries or
government bodies for 10 weeks. At the end of

their training, students are required to submit a written
report on their work. The evaluation of the subject is based on the Industrial Supervisor’s report, the
Faculty Supervisor’s report, the student’s Log Book write
-
up and written report.












19

YE
AR 4
,
SEMESTER 1


BWB42604: Final Year Project II


Synopsis

Student will be able to work
on
their research project especially in statistics area.

It is
the continuity of

the Undergraduate Project 1 (Projek Sarjana Muda I) course.

Student
s are

advi
s
e
d

to

meet their
supervisor continuously
un
till the end of this course.

Discussion will be on literature review, research
objectives, data collection, research methodology, data analysis, results and conclusions. This research
project will be present
ed
oral
ly

and
in
report writing.



References

1.

Chuan Yan Piaw. (2006).
Kaedah Penyelidikan
. Malaysia:

McGraw Hill.

2.

Sulaiman Masri. (2003).
Kaedah Penyelidikan dan Panduan: Penulisan (Esei, Proposal, Tesis).

Kuala
Lumpur: Utusan Publication Distribution.

3.

Yogesh Kumar
Singh. (2005).
Research Methodology
. New Delhi:

APH Publishing.

4.

Ranjit Kumar. (2010).
Research Methodology: A Step
-
By
-
Step Guide For Beginners.
3
rd

Ed. London:

Sage Publication.

5.

John Keenan Taylor
,

Cheryl Cihon
.

(2004).
Statistical Techniques for Data Analysis
. 2
nd

Ed. UK:

Chapman & Hall/CRC.




BWB43103:
Demoghrapy Analysis


Synopsis


This course introduces the basic techniques of demographic analysis. Students will become familiar with
the sources of data available for demographic research. Population composition a
nd change measures will
be presented. Measures of mortality, fertility, marriage and migration levels and patterns will be defined.
Life table, standardization and population projection techniques will also be explored.



References

1.

Wienke, Andreas. (2011
).

Frailty
Models In Survival Analysis
.
Boca Raton,
FL:

Taylor & Francis.

2.

Graziella Caselli, Gillaume Wunsch, Jacques Vallin
.
(2005).
Analysis and Synthesis
.
4
Volume Set: A
.

Academic Press
.

3.

Samuel Preston
,
Patrick Heuveline
,
Michel Guillot
.

(2001
).
Demography: Measuring and Modeling
Population Processes
.
UK:
Wiley
-
Blackwell
.

4.

Hallie J. Kintner
. (1997).
Demographics:
A Casebook for Business and Government.
USA
:
Rand
Corporation
.

5.

Hinde Andrew
.

(1998).
Demographic Methods
.
NY: Arnold/Oxford.


20


BWB
43003:
Epidemiology


Synopsis


Epidemiology is a combination of a subject matter sci
ence and a research methodology which

t
his course
focuses on the later
.

Introduction to Epidemiology will describe the study designs used to study disease
in human populat
ions including randomized trials and four types of observational studies (cohort, case
-
control, cross
-
sectional, and ecological).
Due to

cause
-
and
-
effect relations are at the heart of
epidemiologic research, this course will also introduce concepts of cau
sal inference, threats to study
validity, and multi
-
causality.


References

1.

Koepsell, T.D, Weiss N. S. (2003).
Epidemiologic Methods: Studying the Occurrence of Illness
. New
York: Oxford University Press.

2.

Rothman K. J. (2002).
Epidemiology: An Introduction
.

New York: Oxford University Press.

3.

Gordis L. (2004).
Epidemiology
. 3
rd

Ed
. Philadelphia: WB Saunders.

4.

Dever, G. E. (2006).
Managerial Epidemiology: Practice, Methods and C
oncepts
. Boston: Jones and
Bartlett Publisher.

5.

Jewell, Nicholas P.
(
2004
).

Statisti
cs for
E
pidemiology
.
Boca Raton,
FL:

CRC Press
.




BWB42803:
Longitudinal Data Analysis


Synopsis


Longitudinal Data Analysis will cover the topic about the Introduction, Ordinary linear regression model
for longitudinal data, General linear models for lon
gitudinal data, Linear mixed models and Generalized
linear mixed models.


References

1.

Brunner, Edgar, Dom
hof, Sebastian & Langer, Frank.
(2002)
.

Nonparametric
Analysis of Longitudinal
Data in Factorial E
xperiments
.
New York,
NY:

John Wiley
.

2.

Diggle, P. J., L
iang, K Y. and Zeger, S. L. (2002).
Analysis of Longitudinal D
ata
.
2
nd

Ed. Oxford:

Oxford
University Press
.

3.

Korosteleva, Olga, (2009)
.

Clinical Statistics: I
ntroducing
Clinical Trials, Survival Analysis and
Longitudinal Data A
nalysis
.
Sudbury,
MA:

Jones an
d Bartlett
.

4.

Penn, Roger & Berridge, Damon, (2010)
.

Social S
tatistics
.
Thousand
Oaks:

SAGE Publications
.

5.

Hattie, John A. C. (2008)
.

Visible Learning: A

Synthesis of Meta
-
Analyses Relating To Achievement.

New
York:

Routledge.




21

BWB43203:
Medical Statistics


Synopsis


This course covers the i
ntroduction to medical statistics. The design of experiments, Comparing
treatments, Random allocation; Sampling and observational studies, censuses, sampling, cross sectional
studies, cohort studies; The analysis of cross
-
tabulations; Clinical measurement, Making measurements,
Repeatability and measurement error, Comparing two methods of measurement , Sensitivity and
specificity, Normal range or reference interval; Mortality statistics and population structure; Mortality
r
ates, Age standardization using the direct method, Age standardization by the indirect method;
Multifactorial methods; Meta
-
analysis and publication bias.


References

1.

Bland, Martin. (2000).

An
Introduction To Medical Statistics
.
3
rd

Ed.

Oxford
: Oxford

Univ
ersity Press.

2.

Ying, Lu & Ji
-
Qian, Fang. (2003).

Advanced M
edical
S
tatistics
.
River Edge,
NJ:

World Scientific.

3.

Rao, C. Radhakrishna, Miller, J. Philip & Rao, D. C. (2008)
.

Epidemiology and
M
edical
S
tatistics
.
Amsterdam:

Elsevier
.

4.

Ji
-
Qian, Fang. (2005).

Med
ical
S
tatistics and
C
omputer
E
xperiments
.
New
Jersey:

World Scientific
.

5.

Lindsey, J. K. (2001).

Nonlinear
M
odels in
M
edical
S
tatistics
.
Oxford:
Oxford University.



BWB42703:
Statistical Modeling For Biology


Synopsis


Statistics Modeling for Biology will c
over the topics about the Descriptive Statistics and Analysis of
variance, Regression and Unifying framework, Multiple explanatory variables and Designing experiments,
Mixing continuous and categorical variables and Factorial experiments, Testing for indep
endence,
Introduction to biological modeling, Linear Models AR, Molecular Evolution and Genetics/Disease Modeling
.


References

1.

Allman, E. S. & Rhodes, J. A. (2004).
Mathematical
M
odels in
B
iology
.
Cambridge:
Cambridge
University Press.

2.

Stockwell, David. (
2
007).
Niche
Modeling:

P
redictions from
S
tatistical
D
istributions
.

Boca Raton,
FL:

CRC
.

3.

Othmer, Hans G. (1997).
Case
S
tudies in
M
athematical
M
odeling in
E
cology,
P
hysiology, and
C
ell
B
iolog
y
.

New
Jersey:

Prentice
-
Hall.

4.

Grafen & Hails Oxford
.

(2002).
Modern

S
tatistics for the
L
ife
S
ciences
.

5.

Wilkinson, Darren James. (2006).

Stochastic
M
odelling for
S
ystems
B
iology
.
Boca Raton,
FL:

Taylor &
Francis.




22

BWB42903:
Survival Analysis


Synopsis


Introduction to Survival Analysis will cover the topic about Introducti
on to survival analysis and Kaplan

Meier estimates of the survival function.


References

1.

Korosteleva, Olga. (
2009
).

Clinical
Statistics:

I
ntroducing
C
linical
T
rials,
S
urvival
A
nalysis and
L
ongitudinal
D
ata
A
nalysis
.
Sudbury,
MA:

Jones and Bartlett
.

2.

Hosmer
, D. W., Lemeshaw & May
.

(2008).
Applied Survival Analysis: Regression Modelling o
f Time to
Event Data
.
2
nd

Ed
.

Hoboken, NJ:
John Wiley.

3.

Smith, Peter J.
(
2002
).

Analysis of
F
ailure and
S
urvival
D
ata
. Boca Raton, FL:
Chapman and Hall.

4.

Elandt
-
Johnson, Regina C. & Johnson, Norman L.
(1980).

Survival
M
odels and
D
ata
A
nalysis
.
New
York:

Joh
n Wiley.

5.

Wienke, Andreas. (2011).

Frailty
M
odels in
S
urvival
A
nalysis
.

Boca Raton, FL:

Taylor & Francis.




BWB43403:
Advanced Data Mining


Synopsis


This course provides detail explanation on data mining and machine learning, which include:
classification
, clustering, association rules and so on. Emphasis will be laid on performance and
implementation issues, as well as on application such as web mining.



References

1.

Bratko, I. (2001).
PROLOG Programming for Artificial Intelligence.
3
rd

Ed. London: Addiso
n Wesley.

2.

Moss, C. (1994). PROLOG
++: The Power of Object
-
Oriented and Logic Programming
. London:
Addison Wesley.

3.

Rich, E. & Knight, K. (1991).
Artificial Intelligence
.

2
nd

Ed. New York: McGraw Hill.

4.

Turban, E. & Aronson, J. (2001).
Decision Support Sys
tems and Intelligent Systems
. 6
th

Ed. New
Jersey: Prentice Hall.

5.

Luger, G. F. & Stubblefield, W.A. (2009).
Artificial Intelligence: Structures and Strategies
for
Complex Problem Solving.

6
th

Ed.
Boston, MA: Pearson.









23

BWB43603:
Business Data Processi
ng


Synopsis


This course introduces

topics such as Business Organization, Introduction to Data Processing, Data
Processing Programming.


References

1.

Turban, E. & King, D.

(
2002
)
.
Introduction to
E
-
commerce.
New York
: Prentice Hall.

2.

Deitel, H. M.,

Deitel,

P. J. & Nieto, T. R. (
2001
)
.
E
-
B
usines
s &
E
-
C
ommerce

H
ow to
P
rogram.
New
York: Prentice Hall.

3.

Deitel, H. M. & Deitel, P. J.

(
2007
)
.
Java
H
ow to
P
rogram.
New Jersey: Prentice Hall.

4.

Rayport, Jeffrey F. & Jaworski, Bernard J.

(
2004
)
.
Introduction to
E
-
C
ommerce.
Boston,
MA:

McGraw
-
Hill.

5.

Ratnasingam, Pauline. (2003).

Inter
-
O
rganizational
T
rust in
B
usiness
-
to
-
B
usiness
E
-
C
ommerce
.
Hershey,
PA:

IRM Press.




BWB43303:
Introduction to Data Mining


Synopsis


Introduction to Data Mining will cover the topics ab
out the Introduction
,
Data Preparation
,
Mining
Association
Rules

and

Classification and Prediction

Cluster
Analysis
.


References

1.

Bratko, I. (2001).
PROLOG Programming for Artificial Intelligence.
3
rd

Ed. London: Addison Wesley.

2.

Moss, C. (1994). PROLOG
++:

The Power of Object
-
Oriented and Logic Programming
. London:
Addison Wesley.

3.

Rich, E. & Knight, K. (1991).
Artificial Intelligence
.

2
nd

Ed. New York: McGraw Hill.

4.

Turban, E. & Aronson, J. (2001).
Decision Support Systems and Intelligent Systems
. 6
th

Ed.

New
Jersey: Prentice

Hall.

5.

Luger, G. F. & Stubblefield, W.A. (2009).
Artificial Intelligence: Structures and Strategies
for
Complex Problem Solving.

6
th

Ed.
Boston, MA: Pearson.










24

BWB43503:
Network And Data Communication


Synopsis


This course prov
ides an understanding on Introduction to network and data communication, physical
layer, data communication, wide area network (WAN), internetworking, Internet and latest technology,
optimum network presentation and network operating system.


References

1.

Ci
sco Networking Academy

Program. (
2005
)
. CCNA

1 and 2
C
ompanion
G
uide.

3
rd

E
d.
Indianapolis, IN:
Cisco
P
ress.

2.

Forouzan, B. A.

&
Fegan, Sophia Chung
. (
200
7
)
. Data

C
ommunications and
N
etworking.
4
th

Ed
.

Boston:

McGraw
-
Hill
.

3.

Stallings, W. (
2007
)
.
Data and
C
om
puter
C
ommunications.

8
th

Ed
.
Upper Saddle River,
NJ:

Pearson.

4.

Tanenbaum, A.S.

(
2003
)
.
Computer
N
etwork
. New York: Prentice
-
Hall.

5.

Thurwachter, N. (
2000
)
.
Data and
T
elecommunications: Systems and
A
pplication
.
New York
:
Prentice Hall.




BWB43703: Performa
nce Modeling Of Communication Network


Synopsis


Performance Modeling of Communication Network Hill cover
s

the topics
such
as
the
Essentials of
Pr
obability
,
The Poisson Arrival Model
,
The M/M/1 Queue
,
Approximation of a Finite Buffer System by the
Infinite Buffer Model

and
Network Analysis
.


References

1.

Peter G. Harrison

Naresh M. Patel
.

(1994).
Performance Modelling of Communication Networks and
Computer Architectures

(International Computer S
). 1
st

Ed
.

The University of Michigan: Addison
-
Wesley.

2.

Hayes, Jeremiah F. & Babu, Thimma V. J. Ganesh
.

(
2004
)
.

Modeling and
A
nalysis of
T
elecommunications
N
etworks
.
Hoboken
.
NJ:

John Wiley.

3.

Evans, Sharon
. (2003)
.
Telecommunications

N
etwork
M
odelling,
P
lann
ing and
D
esign BT
C
ommunications
T
echnology
S
eries
.
London:

Institution of Electrical Engineers
.

4.

Kasera, Sumit, Narang, Nishit & Narang

Sumita.
(2007)
.

Communication
Networks:

P
rinciples and
P
ractice
.
New
York:

McGraw
-
Hill.

5.

Misic, J
elena B. & Misic, Vojis
lav B.
(
2006
)
,
Performance
M
odeling and
A
nalysis of
B
luetooth
N
etworks :
P
olling,
S
cheduling and
T
raffic
C
ontrol
.
Boca Raton,
FL:

Auerbach Publications.





25

BWB44203:
Industrial Production Costing


Synopsis


This subject is designed for non
-
accounting major

students who need to acquire basic understanding on
production cost management.

Topics covered includes the cost concept and definition, the importance
of production cost planning and management, manufacturing cost statement, cost
-
volume
-
profit analysis,

costing methods, cost allocation method, ABC costing, variance analysis and manufacturing performance
reporting.


References

1.

Hongren, C.T, and Harrison
, W.T. (2007).

Accounting
. 7
th
Ed.
New Jersey:
Pearson
Education.

2.

Weygandt, J.J, Kie
so, D.E, and Kimmel
, P.D. (2010).
Accounting Principles
. 9
th

Ed.
USA:
John Wiley &
Sons Inc
.


3.

An
thony, R.N, and Breitner, L.K. (2006).

Essentials
of Accounting.
9
th

Ed. New Jersey:

Pearson
Education International.

4.

Fatimah Abd Ra
uf, Amla Abu and Radziah Mahmud.

(2
007).

Finan
cial Accounting for
Non
-
Accounting Students
. 9
th

Ed.

Malaysia:
McGraw Hil
l Education.

5.

Gitman, L.J. (2006).
Principles of Managerial Finance
. 11
th

Ed.
Boston:

Addison Wesley
.





BWB44103:
Logistics Management


Synopsis


This course will introduce the conce
pt of global operations and logistics and provide a comprehensive
framework to tackle typical operations and logistics problems, the operation of logistics and supply chain
management and apply relevant techniques to solve problems, the targets of supplyin
g the right goods at
the right time at a minimum cost and the

knowledge of operations and logistics management and its
relevant techniques to optimise trade
-
offs.


References

1.

Grant, David B. (2006).
Fundamentals of Logistic Management
. London: McGraw Hill.

2.

B
owersox D. J., and Closs D.J.
(1996).
Logistical Management
.

New York:

McGraw
-
Hill.

3.

Christopher, M.

(1998
).
Logistics and Supply Chain Management: Strategies for
R
educing
C
ost and
I
mproving
S
ervice
.
2
nd

Ed.
UK: Financial Times/Pitman.

4.

Lamming, R. (1993).

Beyond
Partnership:

Strategies for Innovation and Lean Supply
.
Northwestern
University:
Prentice Hall.

5.

Krajewsk
i, L.J. and Ritzman, L.P. (2002
)
.

Operati
ons
Management
:

S
trategy and
A
nalysis
.
6
th

Ed.
Addison
-
Wesley
.





26

BWB44003:
Pemasaran Strategik


Synops
is


Pengenalan kepada pemasaran, dan pengurusan pemasaran, hubungkait dengan perancangan strategik
organisasi, penganalisaan peluang
-
peluang pasaran, merekabentuk dan membangunkan strategi
pemasaran, keputusan pemasaran yang merangkumi jenama dan barisan k
eluaran, harga dan program
pemasaran, mengurus dan melaksanakan program pemasaran, kajian kes dan kertas projek berkumpulan
.


References

1.

Craven, David W. (2009
).

Strategic Marketing
.

9
th

E
d. New York: Irwin McGraw
-
Hill.

2.

Fer
ell, O.C. Hartline., Michael D.
,

Lucas and George H., Jr. (2008
).
Marketing Strategy
.
4
th

Ed
.
Mason:

Thomson
.

3.

Jain Subbash C. (2000).
Marketing Planning & Strategy
.
Singapore: South
-
Western College
Publishing Thomson Learning.

4.

Kotler, Philip. (2001).
Marketing Planning
. Millennium Ed
. U
pper Saddle River, NJ: Prentice Hall Inc.

5.

Assael, Henry. (2002).
Consumer Behavior and Marketing Action
.

6
th

Ed
. Cincinnati, Ohio: South
-
Western College Publishing.




BWB43903:
Pengurusan Risiko


Synopsis


Kursus ini merupakan p
engenalan kepada risiko; Te
rminologi dalam pengurusan risiko; Proses
-
proses
pengurusan risiko; Alat
-
alat pengurusan risiko; Mengurus jenis
-
jenis risiko I; Mengurus jenis
-
jenis risiko
II; Membuat keputusan dalam mengurus risiko; Mewujudkan informasi yang berguna; Retrospek dalam
pros
es pengurusan risiko: Perbincangan dan kajian kes.


References

1.

Crouhy, M, Galai, D and Mark, R
.

(2000).
Risk Management
. UK: McGraw
-
Hill Trade.

2.

Doherty, N.A
.

(2000).
Integrated Risk Management: Techniques and Strategies for Managing
Corporate Risk
.
New
York:
McGraw
-
Hill Professional Publishing.

3.

Jorion, P
.

(2000).
Value at Risk
-
The New Benchmark for Managing Financial Risk
. UK: McGraw
-
Hill.

4.

Raftery, J
. (1993).
Risk Analysis in Project Management
. UK: Spoon Pres Ltd.

5.

Rogers, J
.

(2002).
Strategy, Value and
Risk
-
The Real Options Approach Reconciling
I
nnovation,
S
trategy and
V
alue
M
anagement
. UK: Palgrave Macmillan Ltd.







27

BWB43803:
Strategic Management


Synopsis


This course integrates major aspects of business and managerial marketing, accounting, operatio
ns,
individual and include organizational behavior, information technology and finance within a strategic
framework.

Thus
,

students should be able to understand the key influences on the development of an
organization’s strategy, analyze those influences,

propose appropriate strategic behavior for an organization
and demonstrate an understanding of the import
ant of strategy in organization
.


References

1.

David, F.R. (2011
)
.

Strategic
Management:

Concepts and Cases
.
13
th

Ed
.
Upper Saddle River,
NJ:

Prentice H
all
.

2.

Khoo Keng
-
H
or and Nigel Munro
-
Smith. (2003).

Strategic Management
. 3
rd

Ed.
Malaysia: Pelanduk

Publications.

3.

Pitts, R.A. and Lei, D. (2006
).

Strategic Management: Building and Sustaining Competitive Advantages
.
4
th

Ed.
Australia
:
Thomson
.


4.

Thomson, J.

L. (2001).

Strategic Management
. 4th Ed.

Holborn London: Thomson Learning.

5.

Hisr
ich, R.D.
Shepherd, Dean A

and Peters, M.P. (2009
).

Entrepreneurship
.
8
th

Ed.
Pennsylvania:
McGraw
-
Hill.