Studying online

There are now 2 possible online modes for units:

Units with modes Online timetabled and Online flexible are available for any student to self-enrol and study online.

Click on an offering mode for more details.

Unit Overview

Description

This unit focuses on non-deterministic approaches to geotechnical design that prioritise system reliability. Students will be challenged to think about geotechnical risk, uncertainty and the estimated probability of failure in the context of offshore renewable energy structures. The unit will examine opportunities and risks associated with using techniques including data science (such as machine learning) and probabilistic and reliability based design methods, when applied to offshore geotechnical design for renewable energy structures. The students will learn how to utilise these analysis techniques to facilitate geotechnical decision making. Global experts from industry and academia will facilitate the student's learning in this unit, via a series of practical design scenarios.

Credit
6 points
Offering
(see Timetable)
AvailabilityLocationMode
Semester 1OnlineOnline timetabled
Outcomes

Students are able to (1) discuss geotechnical risk, uncertainty and estimated probability of failure in the context of offshore renewable energy structures; (2) discuss future trends in site characterisation for offshore renewable energy developments, based on data science techniques; (3) identify and appraise opportunities and risks associated with the use of data-centric methods utilising statistical and analytical approaches in offshore geotechnical design; (4) demonstrate how to undertake a reliability based geotechnical design of an offshore foundation for a renewable energy structure; (5) produce a reliability based geotechnical design to meet a specified limit state or target probability of failure for a given site characterisation dataset; and (6) use reliability based analyses to support decision making in consideration of development complexity, consequence of failure and risk ownership.

Assessment

Indicative assessments in this unit are as follows: (1) assignment and (2) project. Further information is available in the unit outline.



Student may be offered supplementary assessment in this unit if they meet the eligibility criteria.

Unit Coordinator(s)
Professor Muhammad Hossain
Unit rules
Prerequisites
Enrolment in
74550 Master in Geotechnics for Offshore Wind Energy
Approved quota: 25—quota places will be allocated according to allocations for the Master in Geotechnics for Offshore Wind Energy programme, noting that this unit is only offered within this programme. Quota places for the Master in Geotechnics for Offshore Wind Energy programme will be based on merit, gender equity and diversity criteria, as described in the Ranking and Admissions criteria.
Contact hours
4 per week
  • The availability of units in Semester 1, 2, etc. was correct at the time of publication but may be subject to change.
  • All students are responsible for identifying when they need assistance to improve their academic learning, research, English language and numeracy skills; seeking out the services and resources available to help them; and applying what they learn. Students are encouraged to register for free online support through GETSmart; to help themselves to the extensive range of resources on UWA's STUDYSmarter website; and to participate in WRITESmart and (ma+hs)Smart drop-ins and workshops.
  • Visit the Essential Textbooks website to see if any textbooks are required for this Unit. The website is updated regularly so content may change. Students are recommended to purchase Essential Textbooks, but a limited number of copies of all Essential Textbooks are held in the Library in print, and as an ebook where possible. Recommended readings for the unit can be accessed in Unit Readings directly through the Learning Management System (LMS).
  • Contact hours provide an indication of the type and extent of in-class activities this unit may contain. The total amount of student work (including contact hours, assessment time, and self-study) will approximate 150 hours per 6 credit points.