Course Title: Prepare financial forecasts and projections
Part B: Course Detail
Teaching Period: Term1 2009
Course Code: BAFI5150C
Course Title: Prepare financial forecasts and projections
School: 650T TAFE Business
Campus: City Campus
Program: C5178 - Diploma of Accounting
Course Contact : Gowri Raviganesh
Course Contact Phone: +61 3 9925 1337
Course Contact Email:email@example.com
Name and Contact Details of All Other Relevant Staff
Course Co-ordinator: Gowri Raviganesh
- Phone: 61 3 9925 1377
- email: firstname.lastname@example.org
- Phone: 61 3 9925 1544
- email: email@example.com
- Phone: 61 3 9925 5464
- email: firstname.lastname@example.org
Nominal Hours: 70
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 describes the functions involved in preparing financial forecasts and projections. It will also provide students with the skills and knowledge in the application of statistical analyses and processing of business data.
If you are undertaking this course in Melbourne from semester 2, 2012 onwards your teacher will advise you if you require access to a computer for the course. It is recommended that you have access to a mobile computing device to allow greater flexibility in terms of where you can work on campus outside class times.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title:
FNSICORG517B Prepare financial forecasts and projections
FNSICORG517B/01 Plan Preparation Table
· All critical milestones are identified to ensure financial forecasts and projections can be prepared within timeframes.
FNSICORG517B/02 Identify assumption and Parameters
· Business plans and exception reports are reviewed to identify and resolve conflicts in assumptions.
FNSICORG517B/03 Issue Instructions and relevant aids for preparation of forecast and projection
· Instructions issued are clear and unambiguous and comply with company format at to ensure ease of use and consistency of interpretation.
FNSICORG517B/04 Collect, consolidate, model and analyse data
· Data is reviewed to ensure consistency with actual results and mode l used.
FNSICORG517B/05 Document Result and obtain approval
· Results are documented in a clear and understandable manner.
Please refer to Elements of Competency.
Details of Learning Activities
- An initial introduction to topics and techniques via a lecture will include the fundamentals and methods of business statistics.
- Students will participate in tutorial-based discussion groups that will enable them to relate topics to the environment, in which they live and work. They will be required to present their own thoughts, opinions and ideas. A range of learning team activities will assist them to develop and apply their knowledge in different situations that reflect tasks, which they might encounter in a business environment.
- A range of self directed learning activities would be provided for students to practice, reinforce and summarise the key learning.
- Students will be responsible for managing the progress of their self-directed learning. Students will work on self-directed learning activities (multiple choice & Internet based case study) independently of the lecturer.
|Week beginning||Topics /Assessment||Textbook References|
|Week 1 Feb 9||Introduction to Statistics, sampling and data collection||Chapter 7 & 8|
|Week 2 Feb 16||Organisation and Visual representation of data||Chapter 7 & 9|
|Week 3 Feb 23||Measures of Central tendencies||Chapter 10|
|Week 4 Mar 2||Measures of Dispersion||Chapter 11|
|Week 5 Mar 9||Probability and Normal Distribution||Chapter 12|
|Week 6 Mar 16||Sampling Distribution & Estimation||Chapter 13|
|Weel 7 Mar 23||Revision|
|Week 8 Mar 30||Calss Test & assignment distribution|
|Week 9 Apr 6||Hypothesis Testing||Chapter 14|
|Easter Break (April 9th to 15th inclusive)|
|Week 9 Apr 13||Hypothesis Testing & Excel in Lab||Chapter 14|
|Week 10 Apr 20||Hypothesis Testing||Chapter 14|
|Week 11 Apr 27||Correlation and Regression & Excel in lab||Chapter 16|
|Week 12 Mar 4||Correlation and Regression & Excel in lab||Chapter 16|
|Week 13 May 11||Time Series, Excel in lab||Chapter 18|
|Week 14 May 18||Index numbers||Chapter 17|
|Week 15 May 25||
Revision, (Due date for Assignment 20%)
|Week 16 Jun 1||Revision|
|Week 17 Jun 8||Examination (60%)|
|Week 18 Jun 15||Course review and assessment feedback|
Greg Dickman, Financial Forecasting And Data Analysis. Thomson.
Levine etal, Statistics for Managers, 4th Edition.
Overview of Assessment
Assessment may incorporate a variety of methods including technical requirements documentation, homework, assignments, group and/or individual projects, in class exercises, written and practical tests, problem solving exercises, presentations, direct observation of actual and simulated work practice, presentation of a portfolio of evidence which may comprise documents, and/or photographs and/or video and audio files, review of products produced through work-based or course activities.
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.
Assessment in this course will consist of 3 tasks:
- 1 Test (held in week 8)
In-class test worth 20 % will be held in week 8. Test will be closed book and one & ½ hour in duration. Formula sheet will be provided and only non-programmable calculators are allowed.
- 2 Group Assignment (due week 15)
Students need to source information from specified web sites. Analyse data using EXCEL “Data Analysis” tool pack and write reports. This is worth 20% and due in week 15.
- 3 Exam (During Exam period)
A closed book exam worth 60% covering all topics will be held during exam period.
Assessment will incorporate a variety of methods including written test, assignment and exam.
Students are assessed against all the performance elements of the course and must demonstrate an understanding of all elements to be deemed competent. To receive a pass for this course student must also pass the final exam and achieve at least 50% overall.
|FNSICORG517B/01 Plan Preparation Table||Y||Y||Y|
|FNSICORG517B/02 Identify assumption and Parameters||Y||Y||Y|
|FNSICORG517B/03 Issue Instructions and relevant aids for preparation of forecast and projection||Y||Y|
|FNSICORG517B/04 Collect, consolidate, model and analyse data||Y||Y|
|FNSICORG517B/05 Document Result and obtain approval||Y||Y||Y|
Employability Skills and Assessment Tasks
|Employability skill||Test||Group assignment||Final Test|
|Initiative and enterprise||Y|
|Planning and organising||Y||Y||Y|
This course will enable students to achieve the following learning outcomes:
1. Organising, summarising and presenting business data using statistical tools.
- 1.1 Identify types of statistics that are common to business
- 1.2 Differences between Sample and Population
- 1.3 Introduction to sampling
- 1.4 Distinguish primary and secondary data
- 1.5 Explain why data is presented visually
- 1.6 Organising raw data into Frequency and grouped frequency distribution
- 1.7 Represent data tables graphically * Histograms * Polygons * Ogives * Bar chart * Pie chart
- 1.8 Calculate the measure of central tendencies (only for raw data) * Mean * Mode * Media
- 1.9 Identify the appropriate measure for a given situation
- 1.10 Discuss the significance of skewness of a dataCalculate the measure of dispersion (only for raw data) * Range * Inter-Quartile range * Standard deviation
- 1.11 Writing a brief Business report
- 1.12 Use of software (excel) for analysing data
2. Drawing inferences about population from sample statistics
- 2.1 Distinguish between a population and a sample
- 2.2 Describe the special features of a normal distribution
- 2.3 Understand and apply central limit theorem
- 2.4 Calculate point estimates and confidence interval for the population mean
- 2.5 Solve business problems that can be represented by a normal distribution
- 2.6 Understand the principles of statistical inference
- 2.7 Identifying research questions and Formulate hypothesis
- 2.8 Decision-making based on test statisticsUse of EXCEL
3.Measure the nature and degree of relationship between two variables and represent this relationship by a linear equation
- 3.1 Discussing examples where there is association between two variables
- 3.2 Understand dependent and independent variable
- 3.3 Draw and interpret a scatter diagram
- 3.4 Assess relationship with the help of correlation coefficient
- 3.5 Interpret of correlation coefficient
- 3.6 Understand linear regression
- 3.7 Establish linear relation between two variables using the method of Least squares Regression
- 3.8 Prediction based on linear regression equation
- 3.9Check the goodness of fit using coefficient of determinationUse of EXCEL
4.Observing data at specified time intervals and use it for forecasts.
- 4.1 Identify and interpret the four basic measures of variation in a time series analysis
- 4.2 Describe a time series and explain its use by giving example
- 4.3 Use common methods of fitting secular trend lines to time series (including semi averages, moving averages and least-squares)
- 4.4 Forecast using trendUse of EXCEL
5.Observing Prices of different items at specified time intervals and use it to measure the changes in retail price:
- 5.1 Use of simple, composite & weighted Price indices to measure the change in retail prices.
- 5.2 Special applications of the CPI
Course Overview: Access Course Overview