ETF3231 · Monash University
Business forecasting
- Credit points
- 6
- Level
- 3
- Workload
- ≈ 12 h / week
- Faculty
- Business and Economics
What it covers
Forecasts are crucial for guiding the planning and decision making process in business. In this unit you will learn to apply reliable methods for generating accurate forecasts in a rapidly changing business environment. These include: an introduction to regression modelling from a forecasting perspective, classical decomposition, exponential smoothing, Box-Jenkins ARIMA modelling and judgemental forecasting. You will build your programming skills by learning to program in R, a free programming language for statistical computing.
Assessment
| Task | Type | Weight |
|---|---|---|
| 2 - Exercise | Exercise | 2% |
| 1 - Quiz / Test | Quiz / Test | 8% |
| 3 - Project | Project | 30% |
| 4 - Examination | Examination | 60% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On-campus |