Modules Offered in Semester II, 2009/2010

Faculty of Business , Economics & Policy Studies

Module Code

Module Name

Business Statistics
Information System Concepts
Corporate Communication
Challenging Leadership
Creativity and Innovation in Business
Proactive Leadership
Operation and Production Management
Financial Management
Management Information Systems
Human Resource Management
Leadership
Entrepreneurship and New Venture Creation
Agricultural Economics and Farm Management
Small Economies and Globalisation
Applied Environment Economics
Financial Economics
Issues in Economic Development
International Trade and Finance
Islamic Economics and Finance
Brunei and the World
Understanding Social Policy
Study of Public Policy
Public Policy Analysis
Advanced Research Methods
Financial Economics
Financial Economics
Islamic Economics and Finance
Issues in Economic Development
Financial Management
Leadership

Type of Module

Degree Core
Degree Core
Faculty Compulsory Breadth
Breadth
Breadth
Core
Core
Core
Core
Option
Option
Breadth
Breadth
Major Option
Option
Option
Option
Option
Breadth
Breadth
Core
Core
Core
Option
Option
Option
Option
Option
Option

Modular Credits

4
4
2
2
2
2
4
4
4
4
4
4
4
2
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3

 

Module Code
Module Title

Type of Module

Modular Credits
Student Workload
Contact hours for timetabling
Prerequisite
Anti-requisite
BB-1102
Business Statistics
Degree Core
4
8 hrs
3 hours
None
None

Aims/ Objectives/ Rationale:


This module aims to impart preliminary and advanced statistical knowledge to the students to enable them to apply various statistical methods and procedures in the preparation of tutorial material and projects related to various modules in their major disciplines. At the end of the module, students will also be able to develop an understanding of the techniques and analytical skills that are applicable to transform raw data from various business and administrative organizations into meaningful information as well as to identify patterns in data originating from the dynamic business environment, and to create models using the patterns.

Module Content:

  • Graphical and Tabular Descriptive Techniques
  • Numerical Descriptive Techniques
  • Probability
  • Discrete Probability Distributions
  • Continuous Probability Distribution
  • Introduction to Hypothesis Testing
  • Inference about a Population
  • Analysis of Variance
  • Chi-Squared Tests
  • Simple Linear Regression and Correlation
  • Multiple Regression

 

Assessment

Examination:
Coursework:

Mid-term Test/Quiz
Tutorial Presentations
Case Study/Project

          
 
50%
50%

20 %
15 %
15 %