Course Title: Analyse data from international markets
Part B: Course Detail
Teaching Period: Term2 2012
Course Code: MKTG5790C
Course Title: Analyse data from international markets
School: 650T TAFE Business
Campus: City Campus
Program: C5219 - Diploma of International Business
Course Contact : Tim Wallis
Course Contact Phone: +61 3 9925 5423
Course Contact Email:firstname.lastname@example.org
Name and Contact Details of All Other Relevant Staff
Nominal Hours: 50
Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.
Pre-requisites and Co-requisites
This unit applies to individuals with managerial responsibility for interpreting international trends and market developments, interpreting competitor market performance and reporting on market data. The purpose and intent of reporting on market data is to assist the organisation to target marketing activities and to draw up marketing plans.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title:
BSBMKG511A Analyse data from international markets
BSBMKG511A/01 Interpret trends and market developments
1.1. Use statistical analysis of Australian and international market data to interpret international market trends and developments
BSBMKG511A/02 Interpret competitor market performance
2.1. Analyse the international market performance of existing and potential competitors and their products or services to identify potential opportunities or threats
BSBMKG511A/03 Report on market data
3.1. Prepare, plot and interpret data for visual presentation
This course delivers the skills and knowledge required to analyse data from international markets.
Details of Learning Activities
A range of learning activities are planned for this course including self-paced and collaborative class room based activities.
The self-based activities will be delivered through various technology platforms and will include student contribution to wikis and discussion threads, reflective journals, quizzes and interactive sessions.
The collaborative classroom based activities will include group discussion, group problem solving activities and opportunities to practice skills in a simulated workplace environment.
One test, one group assignment and Final Test
Week and Detail
6. Introduction to statistics, sampling amd data collection
7. Organisation and visual reprentatation of data. Measures of central tendency
8. Measures of Dispersion, probability and normal distribution
Mid Semester Break
9. Sampling distribution and revision
10. Class Test
11. Excel usage
12. Estimation and introduction to correlation
13. Correlation and Regression
14. Time series and index numbers
16. Final Test
17. Feedback and individual interviews
Greg Dickman, Financial Forecasting and Data Analysis, Thomson
Heizer, J, Principles of Operations Management, 6th Edition
Overview of Assessment
Students must demonstrate an understanding of all elements of a particular competency to be deemed competent. Assessment methods have been designed to measure achievement of each competency in a flexible manner over a range of assessment tasks.
Assessment will incorporate a variety of methods including assignments, journals, presentation and written or test. Students are advised that they are likely to be asked to personally demonstrate their assessment work to their teacher to ensure that the relevant competency standards are being met.
Class Test - in class book test. A formula sheet will be provided and only non-programmable calculators will be allowed
Group Assignment - Students will be tasked to source information from specified websites. Analyse dat using Excel ’Data Analysis’ tool pack and write reports
Final examination - a closed book tinal test to cobver all topics.
Critical aspects of assessment
The critical aspects of assessment are:
• Validity – the assessment tool is designed and implemented so that it measures performance accurately and precisely
• Reliability – the assessment tool is designed and implemented so that the measurements received are consistent over a period of time or a number of assessment events
• Fairness – the assessment tool is designed and implemented so that it is non-discriminatory and unambiguous
• Flexibility – the assessment tool is designed to allow for its application in a range of different contexts and conditions, and uses a range of methodologies.
Assessment may incorporate a variety of methods including in-class exercises, problem-solving exercises, assignments, group or individual projects, presentations and written or practical tests, as well as homework activities.
Other activities may be workplace-based or simulate work practices. These may include the production of technical requirements documents, direct observation of workplace practices and the presentation of a portfolio of evidence. This portfolio may include documents, photographs, video and/or audio files.
Students are advised that they are likely to be asked to personally demonstrate their assessment work to their teacher to ensure that the relevant competency standards are being met. Students will be provided with feedback throughout the course to check their progress.
Graded Assessment at RMIT
At RMIT, the grades to be used for VET programs are:
DNS - Did not submit for assessment
NYC - Not yet competent
CAG - Competency achieved – graded
CC - Competent with credit
CDI - Competent with distinction
CHD - Competent with high distinction
Course Overview: Access Course Overview