ETF2011 Quantitative methods for risk analysis
Faculty of Business and Economics
ETF2011 Quantitative methods for risk analysis is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2020. It needs ETB1100, ETW1000, ETC1000, FIT1006, ETF1100, SCI1020, ETS1102 or STA1010.
- Credit points
- 6
- Offered in 2020
- Not offered
- Workload
- 144 hours
- per semester
The 2027 handbook has no page for ETF2011. This is its 2020 entry, the latest one.
Reviews
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Requisites
Before ETF2011
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETW1000Business and economic statisticsNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETF1100Business statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningRated 5.0 out of 5 from 1 review
- ETS1102Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETF2011
No unit lists ETF2011 as a prerequisite in the 2020 handbook.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit presents the basis techniques of quantitative risk analysis. Risk identification and measurement techniques most commonly used in industry are discussed, including descriptive statistics. The basic rules of probability are presented in practical contexts and as the foundation for the study of probability distributions - themselves the foundations of risk analysis models. Finally, spreadsheet models of practical situations are developed and evaluated, using simulation methods.
Offerings in 2020
The 2020 handbook lists no offerings for ETF2011.
Learning outcomes
When you finish this unit, you should be able to:
- 1
analyse risk statistically by summarising and interpreting data using techniques of descriptive statistics including the use of associated spreadsheet functions
- 2
analyse and evaluate risk by applying concepts of probability and of probability distributions
- 3
analyse and evaluate risk via Monte Carlo simulation, using @Risk software
- 4
evaluate decision-making strategies, including use of PrecisionTree software
- 5
describe and analyse the quality of production in an industrial process, using statistical control charts.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Contacts
- Chief Examiners
- Mr Bruce Stephens
Common questions
What are the prerequisites for ETF2011?
You need ETB1100, ETW1000, ETC1000, FIT1006, ETF1100, SCI1020, ETS1102 or STA1010 before you enrol.
When is ETF2011 offered?
ETF2011 has no offerings listed in the 2020 handbook.
How much work is ETF2011?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
More details
- Credit points
- 6
- Level
- 2
- Study level
- Undergraduate
- Faculty
- Faculty of Business and Economics
- Organisational unit
- Department of Econometrics and Business Statistics
- Type
- Coursework
- EFTSL
- 0.125
- Student contribution
- SCA Band 2
- Study abroad
- Not available
- Handbook years
- 2020