Course Title: International Management Project - A (Part B)
Part A: Course Overview
Course ID: 032875
Course Title: International Management Project - A (Part B)
Credit Points: 3
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
BUSM2349B |
City Campus |
Postgraduate |
660H Grad School of Business |
Face-to-Face |
Course Coordinator: Kel Watson
Course Coordinator Phone: +61 3 9925 1578
Course Coordinator Email: kel.watson@rmit.edu.au
Pre-requisite Courses and Assumed Knowledge and Capabilities
No prerequisites
Course Description
This course provides an opportunity for you to acquire basic knowledge and skills in business statistics which will enable you to:
Recognize commonly used Statistical symbols and become aware of the meaning, interpretation and significance attached to these symbols as they apply in the fields of accounting, economics, finance, information systems , management and marketing.
Focus on and understand the processes and underlying principles of Statistical analysis as they apply to the decision making process.
Utilize basic statistical formulae and be able to interpret an Excel (PHStat) based spreadsheet of statistical analysis in the workplace environment.
Appreciate the powerful and enhanced decision making processes and practical applications which emerge from the use and interpretation of statistical analysis of raw data.
Evaluate the assumptions inherent in statistical analysis and the risks associated with real world situations which violate these assumptions.
Objectives/Learning Outcomes/Capability Development
By the end of this course, you are expected to be able to:
Understand and apply the prescribed statistical tools in analysing business and management problems. Emphasis in this course will be on the analysis and interpretation of results, discussion of their implications for management decision making and the limitations, if any, of the statistical techniques.
Write a business report – which includes an Executive Summary - analysing a student-selected problem relevant to his or her work, identifying describing and justifying the statistical technique/s used to understand the problem and discussing the implications of the results and the limitations therein.
Use appropriate formulae and the software program Microsoft Excel (PHStat) to perform the prescribed basic statistical calculations and generate numerical and graphical outputs which will aid their analysis, enable them to write a cogent Executive Report and an informative but mostly non-technical (i.e. non-statistical) report based on the raw data and subsequent statistical analysis.
Students in this course will learn through a combination of lectures, class discussions, presentations, completion of a project and text based problem solving exercises: while all are important, the first and last are absolutely essential to success with the Exam and Project.. The course uses experiential learning principles in which the individual and the learning teams are invited to take major responsibility for what is learned and how it is learned.
Overview of Learning Activities
In addition to attending lectures , students will be expected to devote a minimum of 6 to 8 hours each week to solving a set list of problems drawn from the Text. After week 3 , students will be expected to also start work on their Project and be steadily applying and testing some of the nine major statistical applications being covered in class.
Overview of Learning Resources
The lecturer’s role will be to introduce the essential concepts and topics, outline the methodology and formulae appropriate to a situation , illustrate the use of the Excel and PHStat packages, suggest alternative approaches, provide examples of analysis and how inferences can be made, stimulate the thought processes, illuminate the pathways and act as a consultant to the students, individually and in teams.
Overview of Assessment
Assessment Requirements
There are two assessment requirements:
1. Examination 40%
2. Project 60%