ETC5242 - Statistical thinking

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Overview

This unit focuses on the tools for a large, digital data world, including the building blocks for business analytics, modern insurance and risk assessment. A computational approach is employed to teach the concepts of statistics, and decision making in the presence of uncertainty. Topics covered will include exploratory data analysis, … For more content click the Read More button below.

This unit focuses on the tools for a large, digital data world, including the building blocks for business analytics, modern insurance and risk assessment. A computational approach is employed to teach the concepts of statistics, and decision making in the presence of uncertainty. Topics covered will include exploratory data analysis, simulation and randomisation methods, Bayesian analysis, decision and credibility theory, and model assessment.

Offerings

S2-01-CLAYTON-ON-CAMPUS

Requisites

Prohibition

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Associate Professor Catherine Forbes

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Teaching approach

Online learning

Active learning

Peer assisted learning

Problem-based learning

Assessment

1 - Within semester assessment

2 - Examination

Scheduled and non-scheduled teaching activities

Workshops

Workload requirements

Workload

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.

Learning resources

Required resources